#16. best bi reporting tool

[amtexsystemsblogs]

Harnessing Data Wisdom: Top BI Platforms to Revolutionize Your Business

In our technology-driven society, data has emerged as the new oil, with the indispensable power to drive business success. The ability to convert data into insights warrants the importance of BI tools. Ranging from robust business intelligence platforms to specific data visualization tools, let's explore the curious universe of the best BI platforms, an arsenal of software for business intelligence that can offer you a competitive edge.

Understanding Business Intelligence

 Business intelligence (BI) stands at the forefront of utilising data to enhance business operations. BI tools help businesses harness the full potential of their data, providing knowledge and insights to improve decision-making, streamline workflows, and boost business performance.

What is a BI tool

Consider a Business Intelligence tool as a sophisticated data analyst that never sleeps. It is essentially software for business intelligence, processing vast amounts of data, identifying patterns and trends, predicting future scenarios, and providing actionable insights. To categorize some of our favorite tools business intelligence provides, we have data integration tools, data warehousing software, data mining tools, data quality management software, and data modeling software.

Cloud-Based BI Platforms

 As the digitization of businesses accelerates, cloud-based BI platforms are gaining popularity. These platforms offer seamless data integration, real-time reporting tools, enhanced collaboration, and accessibility from any device anywhere. They encapsulate the flexibility and advanced features of top bi platforms like Sisense, MicroStrategy, and Microsoft Power BI, which are highly appreciated for their powerful cloud functionalities.

Self-Service BI Tools 

The era of sole dependence on IT professionals for data analytics is slowly fading. The new trend is self-service BI tools that empower even non-technical users to extract insights from data. Tableau, Zoho Analytics, and Qlikview are some of the best business intelligence software offering user-friendly drag-and-drop interfaces and intuitive dashboards.

Mobile BI Apps

 In our fast-paced world, access to real-time data on the go is a godsend. Mobile BI apps help business leaders stay informed, make data-driven decisions on the move, and share critical insights with teams, anytime and anywhere. Examples of best bi tools in the market that offer impressive mobile capabilities include TIBCO Spotfire and Looker.

Data Visualization Tools

 Turning complex data into easily comprehensible visuals is what data visualization tools do best. For those looking for high-impact visuals, tools like Tableau, Microsoft Power BI, and QlikSense top the charts in the domain of best business intelligence platforms.

Business Analytics Platforms

Geared towards predictive and prescriptive analytics, business analytics platforms guide businesses to foresee potential issues and prescribe strategic solutions. Noteworthy amongst such best BI platforms are Alteryx, SAS Analytics, and IBM Predictive Analytics.

Big Data Analytics Platforms

These platforms are explicitly designed to efficiently process and analyze large volume, high-velocity, and diverse data sources. Google BigQuery, Amazon Redshift, and Apache Hadoop are examples of top-performing big data analytics platforms.

Concluding thoughts

Finding the best BI platform for your business involves careful analysis of your needs, considering the variety of business intelligence platform examples available. Whether you need to harness the power of big data, seek a cloud-based BI solution, or desire seamless data visualization, the ultimate aim is to empower your business with an agile, intuitive, and future-ready BI tool that can crystalize the potential dormant in your data into actionable business intelligence. Through understanding and implementing the best BI software, your business will transcend toward a future that capitalizes on data-driven success.

Integrating business intelligence software into your operations is like installing the captain's wheel on your ship of data, one that will guide you towards the shores of competition

[mdidj]

Best Data Science Institute in Delhi: Top Courses & Career Opportunities

Why Data Science is Booming?

Data is shaping the world like never before. From personalized Netflix recommendations to fraud detection in banking, data science is driving major decisions across industries. Companies rely on data experts to analyze trends, improve efficiency, and boost profits.

The Rising Demand for Data Science Professionals

The demand for skilled data scientists is skyrocketing. Reports show that India has over 90,000+ job openings in this field. Top companies like Google, Amazon, and TCS actively hire data professionals with the right skills. The global data science market is projected to reach $322 billion by 2026, making it one of the fastest-growing career paths.

Choosing the Right Data Science Institute

Many aspirants struggle to find the best data science institute in Delhi. With so many options, it’s tough to pick a reliable and industry-focused institute that provides: ✔ Practical hands-on training ✔ Expert mentorship ✔ 100% placement assistance

Why Modulating Digital Institute?

If you are looking for a career-focused and skill-driven learning experience, Modulating Digital Institute is your perfect choice. With real-world projects, top-notch faculty, and placement support, this institute ensures you step into the data science world fully prepared.

Want to build a successful career in data science? Keep reading to find out how! 

Why Learn Data Science?

Data Science: The Future of Innovation

Data is at the core of every industry today. Businesses, healthcare, finance, and even entertainment rely on data-driven insights to make smart decisions. Data science professionals help organizations analyze trends, predict outcomes, and optimize processes, making their skills highly valuable in today’s job market.

If you’re considering a career in this field, choosing the best data science institute in Delhi is crucial. The right training can equip you with the skills needed to thrive in this ever-growing industry.

High Demand Across Industries

Data science is not limited to IT. It plays a significant role in multiple sectors:

 Healthcare: Predicting diseases, analyzing patient data, and personalizing treatments

.Finance & Banking: Fraud detection, algorithmic trading, and risk assessment.

 E-commerce & Retail: Customer behavior analysis and recommendation engines.

 Marketing & Advertising: Data-driven campaign optimization and audience targeting.

 Manufacturing: Quality control, predictive maintenance, and automation.

With such vast applications, the demand for skilled data professionals continues to grow rapidly.

Job Growth & Career Opportunities

India is among the top countries where data science jobs are increasing rapidly. According to NASSCOM, the demand for data professionals has grown by 40% in the last five years.

Here’s a look at some of the top career opportunities in data science and their average salaries in India:

Job Role

Average Salary (INR)

Experience Level

Data Scientist

₹10-15 LPA

Entry-Level

Machine Learning Engineer

₹12-18 LPA

Mid-Level

Big Data Engineer

₹10-16 LPA

Mid-Level

Business Intelligence Analyst

₹6-10 LPA

Entry-Level

AI Engineer

₹15-25 LPA

Senior-Level

Data Analyst

₹6-9 LPA

Entry-Level

Skills Required to Become a Data Science Professional

To succeed in this field, mastering the right tools and skills is essential. Any top data science institute in Delhi should train students in:

Programming Languages: Python, R, SQL

Machine Learning & AI: Neural networks, deep learning, NLP

Big Data Technologies: Hadoop, Spark, Apache Kafka

Data Visualization: Tableau, Power BI, Excel Analytics

Cloud Computing: AWS, Azure, Google Cloud

Mathematics & Statistics: Probability, linear algebra, data modeling

Why Enroll in the Best Data Science Institute in Delhi?

Learning data science from an industry-focused institute can boost your career prospects significantly. A comprehensive and practical curriculum will ensure you gain:

✔ Hands-on training with real-world datasets ✔ Expert mentorship from industry professionals ✔ Job placement support with top companies

Finding the right institute can make a huge difference in your learning experience and career success. This is where Modulating Digital Institute stands out.

With real-world projects, top faculty, and placement assistance, Modulating Digital Institute ensures that students are job-ready by the time they complete their training.

If you’re serious about becoming a data science expert, investing in the best data science institute in Delhi will be the smartest career move. 

How to Choose the Best Data Science Institute in Delhi?

Why Choosing the Right Institute Matters?

With the increasing demand for data scientists, many training institutes claim to offer the best data science courses. However, not all provide practical learning, industry exposure, and career support. Choosing the best data science institute in Delhi can make a significant difference in your skills, job readiness, and salary prospects.

Here are the key factors to consider when selecting a top data science institute:

1. Comprehensive & Industry-Relevant Curriculum

A well-structured curriculum is essential for building a strong foundation in data science. The best data science training should cover:

 Programming Languages: Python, R, SQL – for data analysis and machine learning.

Machine Learning & AI: Deep learning, NLP, neural networks.

 Big Data Technologies: Hadoop, Spark – for handling large datasets.

 Data Visualization: Tableau, Power BI – to create insights-driven reports.

Statistics & Mathematics: Probability, regression analysis – to understand data trends.

Real-World Projects: Hands-on experience with live case studies.

2. Hands-On Training & Live Industry Projects

Learning theoretical concepts is not enough to become a data science professional. A top data science institute in Delhi should offer:

✔ Practical exposure with live datasets ✔ Real-world case studies from different industries ✔ Capstone projects based on actual business problems

Institutes that provide hands-on experience help students develop problem-solving skills required in real job scenarios.

3. Experienced Faculty & One-on-One Mentorship

Having the right mentor can accelerate your learning process. Choose an institute where:

Trainers have real industry experience in data science, AI, and machine learning.

There are guest lectures from professionals working in companies like Google, Amazon, and TCS.

 One-on-one mentorship is available to solve doubts and guide career growth.

4. Placement Support & Industry Connections

A data science course should not only focus on training but also on career growth. Before enrolling, check if the institute provides:

100% placement assistance with resume-building workshops.

 Mock interviews and career counseling sessions.

 Industry tie-ups with top companies for job referrals.

Best Data Science Institute in Delhi – Why Modulating Digital Institute?

When it comes to choosing the best data science institute in Delhi, it’s essential to look beyond the curriculum. The right institute should not only provide theoretical knowledge but also hands-on training, industry exposure, and placement support. Here’s why Modulating Digital Institute stands out as the top choice for aspiring data science professionals:

Industry-Aligned Curriculum

At Modulating Digital Institute, the curriculum is designed to ensure you gain practical knowledge that is directly applicable in the industry. The institute offers: 📌 Core Subjects – Python, R, SQL, Machine Learning, Data Visualization, Big Data, and AI. 📌 Advanced Topics – Deep Learning, NLP, Cloud Computing, Data Engineering. 📌 Real-World Projects – You’ll work on live datasets, case studies, and business problems faced by leading companies. This hands-on experience makes you job-ready.

This focus on real-world applicability ensures you are not just learning concepts but gaining the skills that employers demand.

Expert Trainers and Mentorship

Learning from industry experts is one of the key advantages of Modulating Digital Institute. The faculty consists of seasoned professionals who have worked in top companies like Google, Amazon, and Microsoft. They bring industry insights, helping you understand the practical applications of data science. Furthermore, you will receive one-on-one mentorship, guiding you through your learning journey and helping you tackle any challenges.

Placement Support and Job Assistance

One of the biggest concerns for data science aspirants is landing a job after completing their course. Modulating Digital Institute solves this challenge by offering: ✅ Resume-building workshops and mock interviews. ✅ Job placement assistance, with connections to top companies in tech, finance, healthcare, and more. ✅ Internships and live project opportunities to give you a foothold in the industry.

By focusing on employability, Modulating Digital Institute ensures that you are ready to enter the competitive job market as a highly skilled data scientist.

Affordable and Flexible Learning Options

Modulating Digital Institute offers a wide range of learning options to suit your schedule and budget: 📌 Online and Offline Classes – Whether you prefer in-person learning or studying from home, the institute offers flexible options. 📌 Affordable Fees – Compared to other institutes in Delhi, Modulating Digital Institute provides high-quality training at a competitive price. 📌 EMI Options – For students who need financial flexibility, EMI options are available to ease the payment process.

Why Modulating Digital Institute is the Best Data Science Institute in Delhi?

With an industry-aligned curriculum, hands-on training, expert mentors, and strong placement support, Modulating Digital Institute is the best choice for anyone looking to start a career in data science. Choosing the best data science institute in Delhi is an important decision, and with Modulating Digital Institute, you’re setting yourself up for success. Whether you're just starting or looking to upskill, this institute offers everything you need to excel in the world of data science.

Job Roles & Career Opportunities After Data Science Training

Exploring Career Paths in Data Science

Data science opens up a world of career opportunities. With the skills learned at the best data science institute in Delhi, you can pursue various roles across different industries. Whether it’s analyzing data to derive insights, building machine learning models, or managing big data, data science has something for everyone. Let’s look at some of the key job roles in data science and their corresponding average salaries in India.

1. Data Scientist

As the core of any data science team, a Data Scientist is responsible for analyzing large datasets, building machine learning models, and providing actionable insights. Their role is to create predictive models, uncover hidden patterns, and use algorithms to drive business decisions. Average Salary: ₹10-15 LPA Skills Needed: Python, R, Machine Learning, Data Visualization, SQL

2. Machine Learning Engineer

A Machine Learning Engineer builds and deploys machine learning models, helping businesses make decisions based on predictions and patterns. They work closely with data scientists but focus more on the engineering and implementation side of machine learning. Average Salary: ₹12-18 LPA Skills Needed: Python, TensorFlow, Deep Learning, Data Engineering, Cloud Computing

3. Data Analyst

A Data Analyst focuses on gathering and analyzing data, then using data visualization tools to present actionable insights. While their role is more analytical than predictive, data analysts play a key role in making sense of data for business use. Average Salary: ₹6-9 LPA Skills Needed: Excel, SQL, Tableau, Power BI, Data Visualization

4. Business Intelligence (BI) Analyst

A Business Intelligence Analyst uses data to provide business insights, helping management make informed decisions. They focus on gathering data from various sources, creating reports, and analyzing trends to inform strategic business plans. Average Salary: ₹6-10 LPA Skills Needed: SQL, Power BI, Tableau, Data Warehousing, Reporting

5. Big Data Engineer

Big Data Engineers handle massive datasets using specialized technologies. They build systems that process large volumes of data and ensure the smooth functioning of big data platforms. Their job is crucial for organizations dealing with petabytes of data. Average Salary: ₹10-16 LPA Skills Needed: Hadoop, Spark, Kafka, NoSQL, Data Warehousing

6. Data Engineer

A Data Engineer focuses on building and maintaining the infrastructure that allows data scientists and analysts to work with data. They design, construct, and optimize data pipelines, ensuring the data is structured and easily accessible. Average Salary: ₹8-14 LPA Skills Needed: Python, SQL, ETL, Data Warehousing, Cloud Platforms

7. AI Engineer

An AI Engineer specializes in building artificial intelligence systems that mimic human behavior. They develop intelligent systems such as chatbots, recommendation engines, and self-driving cars. Average Salary: ₹15-25 LPA Skills Needed: Python, TensorFlow, NLP, Deep Learning, AI Algorithms

8. Data Architect

A Data Architect designs and manages the systems and databases that store and organize data. They focus on creating efficient databases and ensuring data is stored securely and can be easily accessed. Average Salary: ₹15-20 LPA Skills Needed: SQL, Database Management, Cloud Computing, Data Modeling

Why Modulating Digital Institute is Your Gateway to These Careers?

The best data science institute in Delhi, like Modulating Digital Institute, offers tailored training to help you pursue any of these roles. Through expert-led courses and hands-on experience, you’ll acquire the necessary skills and knowledge for these positions.

With modular courses, industry-relevant projects, and placement assistance, Modulating Digital Institute ensures you are job-ready from day one. Whether you aspire to be a data scientist, machine learning engineer, or big data expert, the institute will provide you with the tools you need to succeed.

Don’t just dream of a career in data science—take the first step by joining the best data science institute in Delhi! 

Tools and Technologies You Will Learn in Data Science

Essential Tools for Data Science Professionals

Data science is a multi-faceted discipline, and the best data scientists are proficient in a wide array of tools and technologies. The best data science institute in Delhi should train you in industry-standard tools that will help you analyze, visualize, and build models efficiently. Let’s take a closer look at the most popular tools and technologies used in data science and how they contribute to the data science workflow.

1. Python

Python is the go-to programming language for data science due to its simplicity and extensive libraries. Whether it’s data manipulation, visualization, or machine learning, Python is the primary language used by data scientists around the world. Popular Libraries: Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn. Skills Learned: Data manipulation, machine learning, data visualization, and deep learning.

2. R

R is another powerful language used for statistical analysis and data visualization. It’s particularly popular among statisticians and data analysts who need to perform complex statistical computations. Popular Libraries: ggplot2, dplyr, caret, Shiny. Skills Learned: Statistical analysis, hypothesis testing, data visualization.

3. SQL

SQL (Structured Query Language) is essential for interacting with databases. Data scientists use SQL to retrieve, manipulate, and manage data stored in relational databases. Skills Learned: Querying databases, data extraction, database management.

4. Machine Learning Frameworks

Machine learning is a key component of data science. Familiarity with machine learning frameworks

Tools and Technologies You Will Learn at the Best Data Science Institute in Delhi

Importance of Tools in Data Science

In the world of data science, having the right tools and technologies is essential to solving problems, analyzing data, and building models efficiently. At the best data science institute in Delhi, students learn to master the most widely used tools that are integral to a career in data science. These tools help streamline processes, making data handling and analysis faster and more effective.

Here’s a breakdown of the key tools and technologies you will learn during your training:

1. Python

Python is the most popular programming language in data science due to its simplicity and rich libraries. It’s the go-to language for building algorithms, analyzing datasets, and developing machine learning models. Key Libraries: Pandas, NumPy, Scikit-learn, TensorFlow, Keras, Matplotlib Why Learn Python? Python is versatile and used in data analysis, machine learning, data visualization, and even deep learning. Learning Python at the best data science institute in Delhi opens doors to a wide range of job roles.

2. R

R is another important programming language used for statistical analysis and data visualization. It’s especially popular in

How Modulating Digital Institute Prepares You for a Successful Data Science Career

Industry-Focused Curriculum and Real-World Projects

At the best data science institute in Delhi, it’s essential to receive a comprehensive, industry-aligned curriculum that goes beyond theoretical knowledge. Modulating Digital Institute offers a robust course that provides both the fundamentals and advanced topics in data science. Through real-world projects, you will:

✔ Work with live datasets from industries such as healthcare, finance, and e-commerce. ✔ Solve actual business problems faced by companies, gaining practical experience. ✔ Develop hands-on expertise in machine learning, big data, and data visualization tools.

These practical projects will help you build a portfolio that stands out to employers and gives you an edge in the job market.

Expert Mentors with Industry Experience

Learning from experienced professionals is crucial for success in the data science field. Modulating Digital Institute has a team of industry experts who bring real-world experience into the classroom. They will:

✔ Provide personalized mentorship to guide your learning and career path. ✔ Share industry insights, making you aware of the latest trends and tools in data science. ✔ Help you develop critical thinking and problem-solving skills, ensuring you are job-ready from day one.

Hands-On Training with Industry-Standard Tools

The right tools are essential for becoming a successful data scientist. Modulating Digital Institute ensures you get hands-on experience with the industry-standard tools used in the field, including:

📌 Python & R for data manipulation and analysis 📌 SQL for database management 📌 Machine Learning frameworks like Scikit-learn, TensorFlow, and Keras 📌 Big Data Technologies like Hadoop, Spark, and Kafka 📌 Data Visualization tools such as Tableau, Power BI, and Matplotlib

With these tools in your toolkit, you'll be equipped to handle complex data science challenges across any industry.

Placement Support & Career Guidance

Securing a job after completing your course is one of the primary goals, and Modulating Digital Institute prioritizes career placement. The institute offers:

✅ Job Placement Assistance – with connections to top companies in tech, finance, healthcare, and more. ✅ Mock Interviews – preparing you for real-world job interviews with industry recruiters. ✅ Resume Building – helping you craft a professional resume that highlights your skills and projects. ✅ Job Referral Support – helping you access exclusive job opportunities with partner companies.

With 100% placement support, Modulating Digital Institute ensures that you don’t just finish a course—you launch your career in data science.

Why Choose Modulating Digital Institute?

Choosing the best data science institute in Delhi is a critical decision, and Modulating Digital Institute offers everything you need for a successful career in data science:

✔ Industry-aligned curriculum with real-world exposure. ✔ Experienced mentors to guide you through every step of your learning journey. ✔ Hands-on training in the most popular data science tools. ✔ Comprehensive placement support to help you land your first data science job.

With Modulating Digital Institute, you’ll not only gain the knowledge and skills needed to excel in data science but also the practical experience and job support to ensure your success. Take the first step towards a fulfilling career in data science by enrolling today! 

[techsabiya-blog]

Sabiya Technology SEO Company India

If you are looking for an SEO company India to rank your website on #1, 2, 3 pages of Google, you have come to the palace. As the best SEO Company In India. We are the one of the key players in the Domain. Sabiya Technology has been providing the best support to various industries since 2008. We have through every alteration & Google update.

WE OFFER GUARANTEED SEO COMPANY IN INDIA

As best SEO Agency Noida Delhi in India Company. SEO refers to the optimization and marketing activities that enable the SEO website work being done to improve website traffic & ranking across major search engines  like Google, Bing, yahoo etc. Search engines rank increase the websites on the relevant search engines phrases. The goal of SEO Agency Noida Delhi is to help clients achieve higher ranking in the major search engines. SEO Features Website Analysis In order to accurately search engaged in SEO operations, we perform an analysis of your SEO website. We gather information about the overall SEO website pages, perform an in-depth website review, & compare the website with your competitor's. We start planning for a detailed SEO Company India strategy, during this time, perform keyword research, & simultaneously optimize Meta title & Meta tags. Technical Preparation we engaged in a lot of preparation to ensure that our seo website meets technical standards. This way we ensure that SEO Agency Noida Delhi visitors will be able to access your website & search engines will effectively crawl the website’s content. Sabiya Technology even accesses a wide variety of tools ranking from Google’s “Analytics” service to proprietary application while testing the performance of the website page loading time SEO Company India provides an analysis of different features & Services, ranging from broken links to appropriate error mgs & error. On Page Optimization A large number of SEO website optimizations take place on the website to ensure that content is being properly indexed, keywords are being picked up, & H1 & H2 tags are being used effectively to allow Google & other major website search engines to rating the website relevantly. An analysis & revision of the internal Google website link str. content key-word density, or duplicate content is performed & necessary changes by made to ensure a high content integrity. Additional steps are taken to improve the website content & ranking & traffic. Off Page Optimization

Search engine optimization also required the creation or maintenance of optimization techniques outside & inside of the website domain. Strategies in off page optimization include submitting your website to major directories, Profile creation, Local listing, social bookmarking websites, classified submission etc..., and other sources of information. Submission Reports

Sabiya technology SEO Company India provides reports that strive to give each customer a detailed understanding of the progress of their SEO initiatives. Therefore, keeping track of rankings can provide an understanding of the efforts put into maintaining your keyword & website ranking in the search engines or to improve them.

Why You Need Search Engine Optimization

What you are probably wonder is why it is so powerful. You have heard about Search Engine Optimization you are convinced SEO works very well for different kinds of online & offline business.

That’s why I wrote this report – to show you not one, not two, not   ten…but twenty different types to buy SEO .To see why Search Engine Optimization is so powerful.

1.  Search Engine Optimization Is’ nt A Cost But An Investment

2.  Search Engine Optimization Is A Crucial Part Of Your Marketing Mix

3.  SEO Impacts The Research/Buying Cycle

4.  SEO Pricing Is Variable

5. SEO Isn’t Icing On The Cake – It’s An Important Ingredient

6.  SEO Is Never Too Costly!

8.  SEO Can Multiply Your Impact

9.  Search Engine Optimization Keeps You From Missing Out On Free Advertising

10. SEO Leverages Social Sharing

11.  SEO The Heart Of Your Business

12.  SEO Makes You Ubiquitous

13.  SEO Helps Build Your Brand

14. SEO Drives Offline Sales

15.  SEO Is Measurable Marketing

16.  SEO Is Cost Effective

17. SEO Can Be Outsourced To Run Hands-Free

18. SEO Can Be Made To Work For You

19. SEO Provides Endless Opportunity

20. SEO Beats Paid Traffic

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Sabiya Technology Noida Delhi has a team of 200+ Consultants, who are committed Quality Solutions to Global Customers. Our Extended Development Centers & Innovative Onshore/Offshore Models help us service Fortune 300 companies, Startups globally.

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[theartofservice]

236 Center of Excellence benefits and rewards you’ll get that show you’re successful. How many can you move to ‘Done’?

236 Center of Excellence benefits and rewards you’ll get that show you’re successful. How many can you move to ‘Done’?

You know you’ve got Center of Excellence under control when you can:

1. Address data privacy for information provided to your organization as part of the cloud excellence implementer program.

2. Empower your business users to be value creators in the data supply chain.

3. Measure the business risk of using machines to make decisions and recommendations.

4. Leverage the data that you have to provide better offers and experiences.

5. Identify sources of external data that will complement the data that you own already.

6. Align business goals and the data that exists in your organization.

7. Assess the change that has occurred and make adjustments to maximize effectiveness.

8. Effectively track and report on your research activities to provide better strategic management decisions.

9. Meet the need for business agility whilst ensuring security and compliance.

10. Classify the processes within the Strategy group, or the activities of the Business Process Center of Excellence, or the processes associated with Corporate Planning.

11. Create the data or the environments today to test use cases.

12. Protect sensitive information as sensitive PII data across your enterprise.

13. Trace the path from what you have accomplished to what you will do next.

14. Best support the development of Big Data systems.

15. As data leaders best ensure that you are fit to make the most of and avoid getting left behind.

16. Use big data to model the impact of climate change on the most vulnerable populations.

17. Transform Data into Knowledge to support decision making.

18. Ensure your technology infrastructure is scalable and can support the required business agility.

19. Integrate your enterprise and cloud applications to your data warehouse in cloud.

20. Determine whether a power user program or Center of Excellence might work well for your specific group of users.

21. Use data to optimize supply chains and make them more resilient.

22. Share data across the value chain to promote smarter consumption.

23. Accelerate the migration effort to realize the business and technology benefits more quickly.

24. Structure your internal change management organization, staff it and operate it.

25. Monetize new sources of data to new create new products and services.

26. Find only relevant data when you need it.

27. Get access to skills that can help accelerate your project without making too many mistakes.

28. Build the enterprise business case for robotic automation.

29. Ensure a data driven approach to strategic decision making.

30. Accelerate the migration effort to realize the business and technology benefits.

31. Know when everyone has turned in plans/budgets.

32. Know when everyone has turned in the plans/budgets.

33. Engage with existing online communities in support of your core business functions.

34. Create/use data display tools in development.

35. Meet the rapidly changing business demands for new applications and capabilities.

36. Achieve greater business results for your own organization.

37. Identify the key drivers of business success.

38. Identify the key operational drivers of business success.

39. Maximize the resources needed for a Data Loss Prevention initiative.

40. Get the replacement CSP to assist in the cost of data migration.

41. Plan to involve stakeholders and business units to ensure the platform is used to its best capability and purpose.

42. Ensure you are compliant from Day 1 as you start doing business in a new jurisdiction.

43. As a future focused CFO and a key strategic partner ensure that you are taking advantage of the latest and most relevant technology trends.

44. Nominate a director using the proxy access provisions of your organizations By Laws.

45. Ensure compliance with business practices and objectives.

46. Continue to secure and manage the ever growing amount of information you handle.

47. Overcome the challenges of decentralized management, multiple Business Intelligence systems, and fragmented implementations.

48. Get buy in for data and analytics initiatives.

49. Make better business decisions by effectively leveraging internal and external data.

50. Get a group of busy architects to change the way they work.

51. Best present this information to enhance understanding and use.

52. Make a bigger impact on business results.

53. Get Buy-In for Data and Analytics Initiatives.

54. Create a powerful brand based on data and evidence.

55. Govern data that is not produced or managed by the enterprise.

56. Analyze incident and event data over time, places and individuals.

57. Make life easier for you, and What else do you do to make this work better for you.

58. Define the difference between Big Data and analytics.

59. Standardize the data from different connected systems.

60. Expect your organization to increase its use of Shared Services/COEs.

61. Assure data isolation in a multi tenant environment.

62. Plan to use what you get back from the video from the back end.

63. Build in the foresight for changes that you do not have today.

64. Expect your organization to increase the use of Outsourcing.

65. Leverage your loyalty program in driving your customer strategy.

66. Ensure Access and Equity in the STEM and Digital Skills Workforce.

67. Get involved in a project with other people.

68. Actually build an enterprise wide Center of Excellence.

69. Evaluate the effectiveness of your organizations pay and rewards strategy and practices.

70. Use the process called root cause analysis.

71. Identify applications that can be outsourced to reduce expenses and meet your organizational goals for sustainability.

72. Extend the ways in which you assess the influence of teaching and learning centers.

73. Prefer project status (cost, schedule, issues) and frequency of the same to be communicated.

74. Evaluate the effectiveness of your organizations retention strategy and practices.

75. Build an ecosystem of partners and drive value from them.

76. Identify and evaluate the right partners to help you.

77. Balance the need for efficiency and exploration with fairness and sensitivity to users.

78. Control OS level access to your EC2 instances.

79. Guide your organization that uses mostly Waterfall methodology to Agile.

80. Foster innovation while balancing risk and cost.

81. Attract and retain talent in your Shared Services organization.

82. Strengthen your standards addressing quality control.

83. Accelerate migration and unlock benefit and value early.

84. Leverage existing IT technology investments supporting BI applications.

85. Streamline this process to maximize your returns.

86. Make government perform better and deliver on your key objectives.

87. Get value out of your local compliance processes.

88. Assess your existing applications against cloud migration.

89. Integrate the Public Cloud while still retaining control of your data.

90. Use Programs of Excellence: A Tool for Self Review and Identification.

91. Implement a corporate BYOD program without compromising your enterprise security.

92. Develop and test applications in the cloud.

93. Ensure continuity as you move from concept to engineering to procurement to construction to turn over.

94. Communication project objectives to your teams.

95. Monitor and control activity to ensure performance.

96. Predict, prioritize and capture the value of AI.

97. Know that the investment you are making in analytics is worth it.

98. Know that the investment you m making in analytics is worth it.

99. Know your CoE is delivering value and is heading in the right direction.

100. Dynamically modify it in real time or in a timely way.

101. Become your organization capable of achieving your vision.

102. Decide whether your organization should invest in it.

103. Expect to improve total cost of ownership with the chosen solution.

104. Change that, and remain nimble regardless of your organization size.

105. Prepare the public to make informed choices.

106. Demonstrate to your customers or stakeholders that you met or exceeded the contracted requirements (SLAs).

107. Do you see the return on investment with an analytics strategy.

108. Prioritize goals and know that a particular goal is worthy to pursue.

109. Mitigate the risk of stakeholder rejection.

110. Facilitate adoption of the Performance CoE concept.

111. Define and implement mobile applications end-to-end security.

112. Lead your organization through the change.

113. Interpret regulations: through science or organization rules.

114. Squeeze out more performance, safety, lifetime, and value from batteries.

115. Leverage professional partnerships to enhance the learning experience.

116. Measure the effectiveness of a Cloud Operating Model.

117. Measure the effectiveness of your Cloud Operating Model.

118. Rate the performance of the overall management.

119. Make sure you do not just replicate existing IT problems in your cloud environment.

120. Know your approach to analytics is paying off.

121. Measure the success of a Power BI implementation.

122. Measure trend in customer loyalty over a period of time.

123. Build a foundation that meets your current and future needs.

124. Work collaboratively to promote learning and improvement.

125. Hire today for a diminished workforce 10 years out.

126. Strengthen your standards addressing group audits.

127. Organize to support such competing goals.

128. Prevent and detect unauthorized access to data.

129. Identify, mitigate against and manage risks to your organization.

130. Successfully adopt a Cloud Operating Model.

131. Control costs through predictable resource allocation.

132. Are assemble customer journeys in new and creative ways.

133. Reskill the Engineering and Advanced Manufacturing Workforce for the Digital Economy.

134. Build Talent Pathways through Industry Recognized Credentials.

135. Design public health strategies that address such influences.

136. Measure the impact of productivity (in person days).

137. Project a financial plan when you cannot measure hours or unit costs.

138. Know that your models and algorithms are doing the right thing.

139. Understand clients sequential regimen progression across the CODE network.

140. Ensure you set up your AWS account securely.

141. Run IT as a service, not just cross departmentally throughout your organization, and across multiple organizations and even organizations outside your system.

142. Stay in control of a complex intelligent system.

143. Deal with the continuous pressure to reduce the cost of IT.

144. Pick the right one to deliver the greatest impact for your business, as applied over your data.

145. Show a return on this kind of investment sooner rather than later.

146. Get better insights to increase velocity and close rate on your pipeline.

147. Acquire an understanding of the physics of the system.

148. Use The Six Pillars to create a competitively differentiated experience.

149. Predict the probability of success or failure of new initiatives.

150. Turn this feature off if you do not want it.

151. Position your organizations to embrace such a future.

152. Show ways to increase revenue per employee.

153. Estimate the cost of a large transition like this.

154. Communicate status (frequency, level of detail) to you customers.

155. Prevent disruptions to your organizations daily operation.

156. Communicate with your organizations Directors.

157. Ensure that community members can focus on participating in IT acquisition.

158. Approach the challenges of dealing with a potentially unmanageable amount of data.

159. Get leadership visibly and meaningfully behind the journey to the cloud.

160. Accelerate the adoption of analytics by end users.

161. Use body worn cameras to increase trust between law enforcement and the public.

162. Define the centers role and responsibilities.

163. Ensure your analytics operations are secure.

164. Use costing and budgeting for short term decision making.

165. Know when to do a desk review with a closure note versus a full onsite investigation.

166. Prioritize inclusion as you build your technical teams.

167. Know when things are good enough (the point of diminishing returns).

168. Encourage employees to adopt digital initiatives.

169. Reset your password or set up your UTD account.

170. Hold managers accountable for achieving goals.

171. Satisfy the most immediate needs while you build your capabilities.

172. Decide when to release a video that may contain sensitive footage.

173. Implement this in a highly available and cost efficient way.

174. Implement a strategic, cost effective BI infrastructure.

175. Best enable Distributed Mission Command.

176. Align your employment and training strategy with priorities.

177. Decide which Center of Excellence to use.

178. Fund a Center of Excellence and Innovation.

179. Measure the success of your cultural transformation.

180. Focus your resources on your most valuable data.

181. Manage IT resources in a just-in-time model.

182. Choose a discovery tool for your environment.

183. Plan to increase automation capabilities in the future.

184. Deal with problems that arise when you are working in groups.

185. Select the best environment for net new workloads.

186. Get the most out of your various types of channel partners.

187. Plan for staffing levels in relation to contact volumes.

188. Accelerate innovation efforts in the digital age.

189. Expect to achieve organizational excellence with such disappointing numbers.

190. Get results fast without sacrificing quality.

191. Most effectively reach as many of them as possible.

192. Assess the full range of outcomes for your potential investments.

193. And/or your department contribute to this initiative.

194. Tackle the challenges of AI responsibility, ethics and governance.

195. Build and maintain trust in an increasingly transparent market.

196. Ensure you deploy Azure in line with best practices.

197. Manage politics and culture within your organization.

198. Want to show up in front of your customers.

199. Effectively train staff in such new skills.

200. Develop strategic relationships with your vendors, partners and independent developers.

201. Best utilize the functions or centers of excellence.

202. Develop capabilities to capitalize on such trends at scale.

203. Decide your target audience for promotions.

204. Best target the highest risk, most vulnerable workers.

205. Read selected lessons without opening each lesson.

206. Find out if there are deviations from plans during execution.

207. Mobilize your digital vision across your organization.

208. Develop and integrate your first mobile App.

209. Maintain and enhance/increase the CI talent pool.

210. Wish to receive notification of the correction.

211. Deliver the right intervention to prevent crime.

212. Organize to fight turnover and maximize results.

213. Facilitate this with the least amount of effort.

214. Enable an efficient transformation function.

215. Determine which incidents require a lessons learned report.

216. Coordinate all of the moving parts of a new implementation.

217. Be sure that only those who are legitimately sick receive treatment.

218. Create e infrastructures that overcome fragmentation.

219. Create the right conditions for alignment.

220. Maximize the ROI of incentive compensation.

221. Know each facility maintains its quality.

222. Model various operational scenarios and potential outcomes.

223. Manage different versions of the plans/budgets during the process.

224. Address over or under allocation variances.

225. Enhance collaborations across large facilities and CI projects.

226. Transparently intercept mobile requests and redirect them to the cloud.

227. Ensure questions or requests are quickly and correctly addressed.

228. Manage dimensions across ERPs and other systems.

229. Ensure that you migrate workloads correctly and quickly to the cloud.

230. Distinguish between what is actually good from what only seems to be good.

231. Support newcomers social emotional needs.

232. Order the required Pathway application manual for your organization.

233. Propose that you then consolidate that information.

234. Deal with the plethora of potential projects.

235. Address deviations from those guidelines.

236. Build a CI community: what are the impediments and opportunities.

To visualize the Center of Excellence work and manage it, I have built a Center of Excellence Kanban board that is broken down into 1142 Work Items that are prioritized into their Workflows. It’s for where to get started on your current or impending Center of Excellence journey.

How many tasks can you move to Done?

Check it out here: https://theartofservice.com/Center-of-Excellence-Kanban

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Top 30 Reasons You Should Be Considering Power BI Training in Pakistan

BI #1 Power BI Training in Pakistan “In the future, I believe there will be those who were able to adapt the new method early and rapidly and are leading from the front, as well as those who couldn't, shouldn't, or wouldn't and were left in the dust.” For various reasons, there were (and still are) individuals who went early and those who waited. When a company has a big financial commitment in a legacy BI solution, there can be a good reason to hold off. Power BI was primarily a self-service BI solution in 2017, and it wasn't nearly suitable for enterprise use. All of that has changed now. So buckle up – here are my top 30 reasons why you and your firm should adopt Power BI for self-service and/or enterprise BI.

BI #1 Power BI Training in Pakistan

1. It's from Microsoft (the new Microsoft)

Nobody can doubt Microsoft's dominance in the world of business software and IT solutions.

Microsoft hasn't always been good at listening to individual customer complaints, but it has always been good at developing and delivering world-class commercial products. Power BI is a continuation of that tradition, but it is superior for all of the reasons I discuss in this article.

2. Power BI is based on the SSAS platform from the ground up.

Although Power BI is a new tool, it has a long history. Microsoft has been one of the most successful firms in the BI market, with SQL Server Analysis Services Multidimensional and Microsoft Excel, in terms of self-service BI. Excel was the most extensively used self-service BI tool prior to Power BI Training in Pakistan.

3. Power BI is based on SSIS from the ground up.

Power Query (the self-service ETL tool – Extract, Transform, and Load) was designed from the ground up utilizing new technologies yet with a proven track record, just as Vertipaq. However, Microsoft has once again brought in its top SQL Server Integration Services (SSIS) team, which has a long and successful track record of successful ET.

4. Power BI can import data from almost any source.

Connectors for the majority of the key data sources have already been constructed and deployed in production. There is also a "catch-all" ODBC database connector, and new (less mainstream) connectors are constantly being developed. In addition, several cloud-based connectors, such as Google Analytics, make it simple for users to connect to cloud content.

5. Power BI is extremely compact and fast.

Vertipaq (the data modelling engine in Power BI and Excel) is a columnar database that is extremely compressed and performant. It creates a highly compressed database that loads completely into memory for fast performance using modern tabular database technology (developed from the ground up). It is not uncommon for a database to compress between 600 and 1200 percent, resulting in a 1 percent reduction in size.

6. Power BI now has a brand-new visualization engine.

There is no luggage to bring with you on this trip - no Silverlight, for example. Microsoft has created a fresh new HTML 5 visualization engine that is simply amazing. Everything (nearly everything) will be sliced and diced, and everything else will be cross-filtered.

7. Open source visualizations are available in Power BI.

Microsoft released early on (thanks to that excellent leadership noted before) that it couldn't solve world peace by itself. Instead of trying to address every visualization challenge for every firm around the world, Microsoft opted to offer its visualization source code so that any competent developer can design their own.

8. Power BI is designed for Excel users, but it is not Excel.

This is the pinnacle of self-service Power BI Training in Pakistan. Who better than the firm that created and owns Excel to develop the user interface for the business user community? While it is reasonably simple to get started for Excel users, it is not Excel. The rigout and structure of SQL Server Analysis Services have been integrated into this product by Microsoft.

9. Power BI is now available in the cloud.

The world is heading to the cloud, whether we like it or not. This solution was designed from the ground up with cloud sharing in mind. It employs all of the latest HTML5 coding approaches to ensure browser compatibility across all platforms. It has industrial-grade security wrapped around its cloud presence, and it is unquestionably safe — Microsoft's image is tarnished.

Unless it's in the cloud, that is.

For whatever reason, not every firm is ready to shift to the cloud. Microsoft has announced Power BI Report Server, an on-premise version of Power BI that allows businesses to store their data on-premise if necessary. Furthermore, the software's desktop version is free for anybody to use and is at least as excellent (if not better) than Excel for performing personal BI analyses.

11. There are mobile apps for Power BI.

One of the advantages of starting from scratch is that you don't have a legacy to uphold. Microsoft has developed apps for both Apple and Android devices (and Windows mobile of course).

12. You can subscribe via email, but don't do so!

I understand that some of you simply want your static report delivered to your inbox every morning. That's fine, Power BI can handle that. Simply navigate to the report tab you wish to see, click "subscribe via email," and when you get to work, a professionally prepared PDF that is excellent for printing will be waiting in your inbox.

13. You may integrate Power BI into your own custom apps.

Another advantage of starting from the bottom up is that you can consider a wide range of concerns when designing the architecture. Microsoft has always intended for Power BI Training in Pakistan to be able to be integrated into custom apps. So, if you want to create your own website and control user access with your own logon credentials, Microsoft is happy with that. It's just them.

14. Power BI is inexpensive to purchase.

It's completely free to try and use for as long as you wish. If you want to use more enterprise capabilities, such as regulated data sharing and automatic refreshes via gateways, you'll have to pay – wait for it – a whopping US$9.99 per month per user. It's enough to send the competition shivering through their boots!

15. Power BI is simple to use (and hence cheap to train users)

A Power BI report can be interacted with by anyone who can click a button. Anyone who wishes to consume content interactively will find it straightforward and simple to understand. The product's minimal training costs make the total cost of ownership quite appealing. And that's before the product is ever utilized to assist users in making decisions.

16. Power users can learn how to use Power BI's modelling engine.

With the Vertipaq engine, Power BI is also enabling self-service BI for a new breed of "citizen developers" from the business community. It is no longer the sole responsibility of an MDX coder to create a usable cube. Many businesses will continue to require IT cube developers, and they can now do it more easily.

17. Power users can learn how to use data loading features in Power BI.

Power Query is so simple to use that it embarrasses SSIS experts. I'm not implying that SSIS developers are no longer required. For large-scale enterprise BI initiatives, I believe there will always be a demand for enterprise-grade technology. 

18. Power BI is a self-service BI platform

Power BI Training in Pakistan is self-service BI embodied for the two reasons mentioned above (the Vertipaq engine and Power Query). It's all you'd expect from self-service BI and more. Any proficient Excel user may easily learn and apply these tools, allowing them to become partially self-sufficient in their analytics and reporting needs.

19. Except when it's not self-service BI

However, just because Power BI is a powerful self-service BI tool doesn't imply it can't also be a powerful enterprise BI tool — in fact, it can do both. Power BI is both a powerful enterprise tool and a self-service solution. Also, don't overlook the importance of ad hoc and enterprise analysis capabilities.

20. Power BI provides dashboards for consolidation.

Power BI is a data source aggregator, among other things. It makes no difference where your data comes from or how/if it connects with other data that matters to you. You can add data in Power BI and pin your visualizations to a dashboard/cockpit where you can view everything you care about and nothing you don't. 

21. Power BI improves on a daily basis - literally!

The Power BI service is updated on a regular basis. Improvements are released into the cloud service as they are made. Microsoft also has to make upgrades to the mobile apps and Power BI Desktop at the same time. These products are released on a monthly basis rather than on a daily basis, but the speed is still tremendous. 

22. Power BI has a large user base.

At the time of writing, Power BI was less than two years old (it is now six years old), and there are millions of users in the community who ask questions and help out other like-minded people. There are hundreds of user groups in major cities throughout the world, and there are displays illustrating how individuals are already utilizing Power BI. Specifically

23. What's significant is decided by the Power BI community.

Isn't it true that Microsoft has evolved? Rather than producing simply what Microsoft feels we need, the company is asking the community what new features they want the most. Anyone can sign up and submit and/or vote on new product improvement suggestions.

24. Power BI features a query engine that understands plain language.

This may appear to be a gimmick, but believe me when I say it is quite cool and effective. You may ask well-designed Power BI Training in Pakistan data model natural language questions like "what were my sales yesterday by state?" or "how are bike sales trending compared to last year?" Power BI will do its best to provide the answer to you as a table, chart, or whatever else you like.

25. Power BI provides automatic analysis with immediate insights.

When you load your Power BI reports to PowerBI.com, a rapid insights tool will trawl through them and analyze the data for quick insights. Quick Insights produced about 50 fascinating pieces of information about the data in my report when I ran it on the Adventure Works demo database.

26. Power BI works in tandem with Excel (no need for export)

Power BI has two major benefits over the competition in this area. To begin, you don't need to export to Excel; simply choose "Analyze in Excel," and Power BI and Excel communicate as if they were twins separated by an umbilical cord (this is literally true in fact). Second, Power BI's appearance and feel is so similar to Excel that it's hard to tell them apart.

27. Power BI works in tandem with PowerPoint.

The truth is that most organizations rely on PowerPoint to communicate stories, thus many people want Power BI Training in Pakistan and PowerPoint to work together. OK, today's PowerPoint integration is quite limited (you can simply export reports to slides), but it works and will only improve. There is already a third-party product available that allows you to email.

28. R and Python are integrated into Power BI.

R and Python are two of the world's most popular open source statistics and transformation software programmes. Microsoft isn't attempting to compete with these applications. Instead, it has decided to natively integrate R and Python into Power BI, allowing you to use your packages with Power BI.

29. Integration of Third-Party Tools

Third-party tools have been around for a long time, most notably DAX Studio and Tabular Editor, but these are just two of the most well-known; there are many more. Microsoft (the new Microsoft) made the deliberate choice to "harden" the Power BI backend so that third-party developers could connect directly to Power BI Training in Pakistan and Power BI Desktop in a stable and supported manner.

30. Microsoft is a favorite of Gartner

Last but not least, Gartner ranks Microsoft first among all vendors in terms of vision completeness and ability to deliver.

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Dealing with Dirty Data

Adventures in Excel

In my last post, we discussed how what separates a true analyst (read: technical) from a project manager wearing the mask of an analyst like some Scott Snyder era Joker (I figure that there's a solid overlap between fans of comic books and fans of the real world application of data. Note that this is a study with an N = 1 so it bares no statistical significance, but I have a funny feeling...call it spidey sense). Full disclosure, this post comes mostly out of my inability to sleep in my hotel room in Chicago following a grueling day of doing the very things I discuss in this blog, and preceding a day where I'll have to literally explain my last post to the suits, but perhaps this is the best mindset to begin discussing the myriad ways in which you may encounter dirty data in the wild, and how a savvy analyst may pivot and match their way around it. However, if my prose isn't as on point as you have grown accustomed...blame it on the 4AM haze. Alas, let's begin by discussing the organizational structure of the majority of corporate entities that leverage data to some degree (note, this isn't all corporations...and what does that say about the state of business?) and how, at each step of abstraction in this process that you are from the data, the data gets dirtier and dirtier. Essentially, there's always going to be a group of about 5-10 fewer-than-necessary legitimately skilled data scientists and/or computer programmers/DBAs who are really solid at building and maintaining a database as well as and some sort of compiling language (nowadays, that's probably python, but not exclusively, nor does this matter). However, depending on your industry (unless of course your industry IS data), it's nearly impossible to recruit people who have these skills to the level necessary AND have some familiarity with why this data is needed, and/or the ability to explain how the internal products that they build can be used by an end user. As such, this team has their own project manager(s) who's sole job is to keep these guys from developing a sentient AI that's sole goal is the annihilation of unfolded laundry...when your industry is healthcare. This team should also have at least one analyst who will take the raw code base and do the first step of translation to a more user friendly form. This generally takes shape as either dashboards in a system like Tableau, or if your company has a group of particularly strong data/business analysts (or particularly weak programmers) an interface written in plain(enough) English on a Business Intelligence platform such as Microsoft BI/SAP Business Objects or whatever other system your company utilizes. As a fun little note, this team ALMOST ALWAYS is referred to by some sort of acronym such as QDAR! (Quality data and reporting!) or KMnR! (Knowledge management and reporting!) or Those Fucking Guys (who have something to do with data) (TFG(whstdwd)). On a less fun little note...neither you, nor seemingly ANYONE ELSE will have contact with this team. In light of this information, how do the reports that they build get chosen or who decides how these databases are built? The world may never know. So let's assume the first type of reporting: the Dataratti (which is how I will refer to the acronym defined team described above moving forward) produces dashboards utilizing a tool such as Tableau or Crystal Reports. You may be thinking to yourself: "hey, isn't my job taking the data and putting it in a form where people who are scared by more than two nested groups of parenthesis, and thus this renders my job unnecessary?" The answer to the question is twofold: Yes, and of course not! As mentioned previously, the decision to create these dashboards, the data contained therein, and how you want them to look is decided upon by a mythical creature who has full access and understanding of the data warehouse, AND has full access to and understanding of the stakeholders (AKA, Those Who Sit Above in Shadow ; that's a reference from a famous run of Thor comics that refers to to a mysterious cabal of gods who perpetuate the cycle of Ragnarok in order to subsist upon the energies created by this strife...which as I write this, is an almost disgustingly on-the-nose metaphor for upper management). Now, if you believe that you may be this mythical creature (as I do), I DARE you to apply for a job with this job description, and once you clinch it with the advice from this blog, rapidly realize that your job will involve either one of these job duties or the other. With that digression, even if somehow a useful dashboard for YOU is created, the limitations inherent in these dashboarding tools make one CRUCIAL issue omnipresent: one can only effectively illustrate up to 16 different variables at a time before the system breaks down (for example, Tableau's documentation specifically warns against this). So even if you have the nicest, most illustrative dashboards on the planet from the Dataratti, there is a nearly 100% chance that the information that you actually need will be scattered across 2-3 different dashboards...rendering the nice looking dashboards essentially useless for your purposes, and as previously stated, you have no contact with the Dataratti, nor do you have access to the underlying data from which these dashboards are created. So pop quiz hot shot, what DO you do? Well, mercifully, all of these dashboard tools allow an end user to download a "data dump" (our parlance for "a buncha numbers with headings"). Using Tableau as an example, one can download either a "crosstab" or a text file of the data represented by the dashboard (in both "summary" and "full data" format). Now, just to get the truly gifted in Tableau off my back, yes, the functionality does exist to build in the ability to download the data in the exact format necessary for your needs through a specific combination of custom web server views and Javascript, but... If the users of the dash are exclusively using this function, why do the dashboard at all? And... This forces the developers in the Dataratti to have decent web design skills on top of really high level Tableau skills, and it requires someone to anticipate exactly how the data will be used by the end user by the Dataratti (which is incredibly hard as it's impossible to speak to this department directly, and as previously stated, the lack of this knowledge on their end is the entire reason why my department exists). A few things to note before downloading data from Tableau: You must highlight at least one element of the dashboard before downloading a crosstab. Depending on what kind of dashboard you're working with, you may need to highlight the entirety of one column in order to capture the entirety of your data (click the first element in any column and then scroll down to the bottom of the report...which may be enormously long, hit shift and click the last element in the report) before downloading either the data or the crosstab. If you are downloading a crosstab, be wary, Tableau web server caps how many rows you can download in this method at a time, this can be avoided by downloading the text version of the data (by clicking data as opposed to crosstab). HOWEVER... If you are going the data route, it defaults to summary view. Look over all the headings, and ensure that this covers everything you need, otherwise click "full data" . Interestingly, this still isn't actually the entirety of your data, and continue to check to make sure all of your headings are covered, otherwise, click the display all columns box, and then download all the rows as a text file. Now, repeat these steps until all of the data that you need in your report is contained across these text files (.csv, AKA the Comma Separated Value file type). With all that lunacy completed, you now have several sheets with some common columns, but all with different information; only some of which you need, so what do you think you do? Simple, you use the tools given to you in the previous posts: you lookup on the common factors across the sheets and return the data that you want until you have all the data you need, in the correct order, on one sheet, and then depending on the ask, you may want to pivot that data out in order to summarize the whole mess of data. THIS IS YOUR FINAL PRODUCT well done. Another protip: if you want to reposition data that you've obtained via a lookup, highlight the whole column, hit control+C to copy the data and then hit control+V pause a second (press NOTHING else) and then press control FOLLOWED by V . This takes the values generated by a formula and replaces them with the values obtained. Functionally, this looks exactly the same, but now you can move the data around without affecting or being affected by other data. As explaining only one possible dirty data scenario took over 1500 words, next time, we'll discuss the other most common form of taking the dirty data from the Dataratti and making it useful to you: using business intelligence portals as opposed to dashboards in order to grab the data that you need. Also, if I don't get roasted on a spit for being half asleep for tomorrow's (today's?) meeting, I'll try and write up a companion post with an example of how this works out in practice. In summary, in this post we've learned: How data is generally siloed and sequestered within the corporate environment, leading to a bevy of unnecessary steps on behalf of the analyst in order to distill a functional report for the powers-that-be Two major methods in which data comes from the data team (henceforth known as the Dataratti) to your team: Dashboards and Business Intelligence interfaces, and... Assuming you get data in the form of dashboards, how to take these dashboards, download the underlying data, recombine and manipulate the data, and package it in a way acceptable for your needs. Congrats, you've just learned the crucial skill of the Slice n' Dice ! Quite sleepily, -Snacks

- Max Mileaf

[aiformarketers123]

16 Ways Artificial Intelligence Can Be Used in Marketing

Artificial Intelligence, in its most basic definition, refers to the capability of computer programs to predict and mimic human thoughts and actions. Thus, Artificial Intelligence for Marketers becomes increasingly helpful, as it allows you to better observe and predict consumer behavior and create delightful customer experiences.

AI allows for personalized communication for each consumer, which makes consumers connect with the brand better. This change in perception makes consumers feel valued, and a good customer-care experience means they will come back for more.

In addition to the above, the use of AI and AI-based tools can help marketers automate a lot of their repetitive work, become more productive, and increase their marketing ROI.

The potential of AI in marketing is massive. The applications of AI in marketing include, but are not limited to, chatbots, voice and image search, consumer profiling, etc.

In this article, we will look at 16 ways that talk about how to use AI in marketing.

Create Better Content Faster:

While AI cannot be used to write contextual pieces like Political Op-eds or an in-depth blog on industry-specific issues, it can prove useful for generating elementary content to bring in more traffic for your website.

AI can also be used for editing content. If you have ever used Grammarly, you have already been using AI in your everyday work to make your content clearer and more impactful

Here are dome AI-driven content creation tools that you can explore:

Quill – Have a marketing dashboard on data viz tools like Tableau or Power Bi that you want to summarize? Quill automatically converts your data into a story.

Wordsmith – Similar to Quill, wordsmith is another tool that generates millions of articles a year by transforming data into insightful narratives.

Articoolo – With Articoolo, all you need to do is enter your topic and word count. The tool then creates unique content from scratch, just like a human writer would!

MarketMuse First Draft – Marketmuse, an AI-powered content research and optimization tool has launched “First Draft”, which as the name indicates, automatically creates the first draft of the article, when you give it a topic with a basic brief.

Write Better Ad Copies:

Most digital advertising platforms today allow you to use multiple ad copies and then use machine learning to find the winner. Google’s Responsive Search Ads (RSA) are a perfect example of this. All you need to do is create multiple variations and the system will pick the best variations, tailored for the consumer the ad is being shown to.

But how do you know if you are coming up with the best copies for all those variations of your ads and creatives?

This where AI-driven copywriting tools like Phrasee come in. Phrasee uses data from your existing marketing campaigns to craft better data-driven messages that you can use to improve campaign efficiency.

And what’s more, the tool also understands your brand voice and ensures it is consistent on all the creatives.

Another tool that helps with coming up with the best messages to connect with your target audience, in your brand’s voice is Persado. It continuously learns from your data and keeps creating better data-driven messaging over time. And it works to create messaging across all your marketing channels.

Create a better content strategy:

Another application of artificial intelligence in marketing is using it to come up with better content strategies.

Here are some tools that can help you with creating an AI-powered content strategy:

Apart from these, MarketMuse mentioned above for content creation, also helps in building a full-fledged content strategy

Cobomba – Cobomba helps marketers with the entire content marketing process right from content recommendations to audits and planning. It also helps optimize existing content and track the performance of all your content marketing activities.

Atomic Reach: Atomic Reach uses AI to help you edit and optimize your content. It helps you create better titles and also auto-generate content summaries, which you can use for meta descriptions and social media captions

Automate repetitive tasks:

Applications of AI in marketing also include using or building programs and tools that allow you to automate tasks that were previously being done manually.

Let’s take an example – let’s say you are an SEO or content marketer and you are working on a site that has 20,000 pages, most of which have no meta description.

If you had to read content on each of these 20,000 pages and summarize it to write a meta description, it would take weeks to get this done. And you’ll be mind-numbed at the end of it!

Even if you get an army of 10 interns to do this for you, it would still take at least a week and you would also have to coordinate and follow up with each of them

A better solution here is to use an AI-powered tool to automatically generate meta descriptions for you. Smacient’s Meta Descriptions Writer Google Sheets add-on just does this – it uses AI-powered Natural Language Processing, which allows it to extract text from the given URLs and summarize it to generate a meta decsri[ptsoon

Apart from this, you can also use Python which has a lot of marketing applications to also help you automate a lot of your day-to-day boring repetitive tasks.

Target the right audiences with your ads:

Most digital advertising platforms today use machine learning to help you show the right ad to the right person at the right time and in the right context.

As a marketer, if you understand the fundamentals of how these systems work, you can use them to your advantage.

A simple example is Lookalike audiences in Facebook ads. These are audiences that Facebook builds which are similar to a source audience (custom audience) that you provide.

If you understand the fact that machine learning algorithms are only as strong as their input data (learning data), you would work to ensure that the source audiences that you use are the most powerful.

For example, if you had to create a lookalike of three custom audiences – 180-day website visitors, 180-day add-to-carts, and 180-day purchasers, which one of these would give you the most accurate lookalike? Well obviously the purchase audience (provided, the size is large enough), since these are people who have the highest probability of buying from you.

This might seem basic to those of you who are pros at performance advertising, but for those of you who are beginners, these are very important concepts to understand which will help you use the platforms machine learning capabilities to your advantage

Apart from having this understanding, you can also use tools like Albert AI to supercharge your performance advertising across platforms – search, social, and programmatic.

Use Chatbots for real-time interactions:

Chatbots are customer-interactive applications that solve consumer queries in real-time. It is not humanly possible to interact with consumers all day long and immediately respond to their queries manually. This is where the chatbot applications of AI in marketing come to a marketer’s rescue.

Consumers can use chatbots to solve multiple FAQs or any complaints they might have. This not only makes it easier for consumers to navigate through the website, but it also makes them feel valued. Since their troubles can be solved almost immediately, they are more likely to return to the same brand in the future as well.

However, chatbots need to be used with precautions. A consumer should be allowed to switch between chatbots, or human customer care executives if they so wish to. This allows for a flexible and accommodating experience for the consumers.

Tools like Mobile Monkey and TARS can help you quickly build and deploy chatbots to enhance your customer experience.

Derive better social media insights:

Markets today have to engage with customers across multiple social platforms, which makes monitoring it all very challenging. And deriving actionable insights is all the more challenging.

AI-powered social intelligence tools like Link fluence help track brand equity, detect social trends, monitor online reputation, and also identify the best social influencers to amplify the barn message.

Ensure your ads are showing in the right places:

Sifting through placement reports in Google Ads and other platforms to find placements that perform and exclude those that are not, can be a mammoth task, especially when you have hundreds of thousands of placements to analyze.

AI to the marketers’ rescue! Contextual intelligence tool GumGum uses computer vision and natural language processing to scan images, videos, audio, and text and ensure ads are served dynamically, where users are most likely to see them. It also ensures brand safety by preventing ads from showing on sites that could harm your brand’s reputation.

Use voice search to your advantage:

Voice Search allows consumers to simply voice their queries into their digital devices, without having to type it out.

With voice-activated services like Alexa, Siri, Google Home, etc on the rise, marketers can leverage these to create voice-focussed experiences for their target audience.

This would include optimizing for the answer box on search as well as creating Google Home Actions and Alexa Skills.

Automate SEO processes:

A lot of day-to-day SEO processes involve a lot of manual repetitive work.

Apart from the example of writing meta descriptions mentioned above, there are many other tasks, where using AI can help.

For example, we all know how important internal linking is to SEO. Let’s say you have started working on a new SEO project and want to get ideas on which internal pages you could link to. If you are not too familiar with the site and its contents, this could take you a very long time. A tool like Smacient’s Interlinking Opportunities Finder can help you save a ton of time. All you need to do is enter the page URL and the tool would suggest relevant anchor text and pages it could link to.

Another use case is paraphrasing. When you have to create multiple variations of text on your pages, to prevent duplicate content issues – you could use Natural Language Processing algorithm to your advantage and get the same done much faster than getting a team of people to do it.

Profile your audience better:

Customer Profiling refers to marketers making extensive profiles on their customers, by extracting and analyzing as much data about them as possible. These profiles include data like their demographics, expectations, beliefs, behavioral patterns, etc.

These data points can be used to analyze the customer’s purchasing patterns, and then group customers on the basis of shared patterns. These groups, called segments, can be used to create customized communication strategies with the customers, to identify target audiences, to predict the purchase decisions a group might make, and then use that knowledge to come up with strategies that increase average customer purchase value, and so on.

Leverage predictive analytics:

While it is important for businesses to gain new customers, it is also equally, if not more, important for them to keep their existing consumer base. Statistically, strategies to get new customers cost more than keeping the pre-existing customers happy. Marketers can work out how to use AI in marketing by using predictive analytics – that is to say, you can use available data and common trends to predict if any of your existing customers are on their way to stop using your product/service. You can then deploy tactics to keep them engaged / happy and prevent them from leaving.

Apart from predicting customer churn and reducing it, you can also use tools like Pattern89 to predict which creatives would work, even before you launch your campaign! Imagine how much marketing money this could save you if you didn’t have to run an A/B test and wait for the data to help you find the winner. All that money and time spent testing could now be deployed elsewhere to increase your marketing ROI.

Create personalized website experiences:

Another way to use artificial intelligence in marketing is by making the website experience itself something that is suited to the consumer’s taste.

You could ensure that each site visitor gets content based on their past interactions on the site. This keeps them engaged and makes them want to come back for more.

Imagine what your website could do if it recommended content to your users, just like how Netflix does – in a highly personalized manner!

A tool that helps here is Path Factory, which creates AI-driven content journeys based on the individual’s content consumption data.

Create hyper-personalized emails:

Artificial Intelligence can be used to compose personalized emails for one-on-one interactions with customers.

Dell reported a very high return on investment rate after employing artificial intelligence in marketing for their emails. Doing so involved dividing their wide consumer base into multiple segments – based on their purchase patterns, age group, and other such data which would impact their buying decisions. These segments were then sent customized emails and newsletters with headlines and subject details that were most suited to catch their attention. Once a target audience had been set, Dell could further entice them with customized discounts and offers. After employing this AI technology, Dell reported an increase in both click-through rates and conversions.

Customized emails not only provide consumers with deals best for them, thereby increasing chances of them remaining loyal buyers, but also provides a human element in an otherwise technical industry. This human element, which can make consumers feel valued can be all the difference between customers who return for further purchases and customers who don’t.

An example of a tool that helps with this is Rasa IO, which helps brands create “Smart Newsletters” to boost customer engagement and sales

Qualify your leads and nurture them:

As a marketer, one of your key goals is to send quality leads to the sales team and also nurture those leads until they convert.

Exceed AI is an AI-powered lead conversion automation platform that automatically qualifies your leads by asking them relevant qualifying questions in human-like conversations, before passing them on to sales.

This could help bring sales and marketing in perfect alignment and grow revenues for the organization.

Create unique marketing campaigns

With every brand trying to engage customers on digital media, there is a lot of noise and clutter out there.

If you want your marketing campaigns to drive real impact you would need to be creative and unique.

If you think creativity is only within the ambit of humans, think twice! You could use AI to your advantage when it comes to creativity as well – take a look at this example from Nutella in Italy. The Nutella Unica campaign used AI to generate millions of unique package designs which acted as prized collectibles, that consumers rushed to buy. Apart from driving sales the campaign also created a lot of social media chatter that helped the brand drive awareness and recall.

Conclusion:

In this day and age, when consumers are spoilt for choice between multiple brands in the market, it becomes necessary to make them feel valued in order to ensure their loyalty

Human capital alone is no longer enough to drive delightful customer experience in the fast-paced world that we live in. With the pace only going to increase, it is important for marketers to realize that it is not marketers vs AI but marketers plus AI that would allow marketers to be more productive, drive better impact, and improve marketing ROI while ensuring that our marketing campaigns continue to have the most important human touch.

Content has been taken from- https://bit.ly/3jy3tCM

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Data science: the father of all professions

Data science: the father of all professions

In this article, I will give a brief description of data science, the benefits of data science course in malaysia and the work of data scientists. Definition of data science training in malaysia The wide application of computer science and information technology has given rise to different new and improved areas in the current market of companies that have enormous possibilities and potential. Data science is one of those areas that has emerged and has become one of the most popular and dynamic areas of today's market. This has become very popular among all young people due to the new and exciting nature of work.

 Data scientists are the professionals who do the work. The data science profession has been classified as the best available profession of this century and the demand for this profession is increasing day by day. With the growing demand and supply of less and less data scientists, it is an excellent opportunity for newcomers to follow proper training in data science and enter the field.

Brief description of data science.

Currently, we live in an era that is surrounded by a large amount of data and communication with this large amount of data is very difficult. Previously, industries relied on simple and easy-to-use tools such as BI for data mining, now with advances in computer science and technical statistics, it has given rise to the science of data that has become a great solution for this large amount of data . With the help of data science, business organizations can extract hidden and useful data from big data and, through analysis, the information extracted can be used to solve business problems, predict market trends and understand market trends. Data mining alone is not enough, creating useful programs with data science techniques is also very important and useful.

Work of professional data scientists Organization: the organization refers to the collection of large data through open source frameworks such as SAS and Hadoop. Modeling: this is the phase in which the data scientist refines, integrates and transforms complex data to understand and create different statistical models in order to easily solve various problems of a commercial organization. Delivery: After creating the model, the job of a data scientist is to explain the model to members and customers.

Benefits of data science in the industry

Data science is used to exploit user data and use this information to improve its products and services. Large companies or organizations have reported a great improvement in business results thanks to data science. Leading companies such as Apple, Amazon and Google are one step ahead of their competitors because they have found a way to make the best use of data science; Therefore, they can draw useful conclusions from the purchase model and customer behavior. Data science has also created several milestones in areas such as finance, banking, medical sciences, security systems, the aviation industry and online education.

Resource box

Data science is the most sought-after career option these days. This is due to high salary and interesting methods. Therefore, I recommend that applicants take an appropriate data science course at an institution they can count on without hesitation.

Click here to know more about data science course

Click here to know more about data analytics course

Address: 360DigiTMG - Data Science, IR 4.0, AI, Machine Learning Training in Malaysia

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 Contact :  011-3799 1378

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300+ TOP SAP FICA Interview Questions and Answers

SAP FICA Interview Questions for freshers experienced :-

1. What is the use of SAP FICA in the current industrial scenario? The SAP FICA is one of the excellent industry-level solutions that are assisting organizations in improving customer relationship management (CRM) in lightning speed. It provides administrators to tackle customer issues and deal with them in enormous amounts and offer resolutions in the most effective way. Moreover, organizations have much more to do with FICA other than just carrying out essential transactional activities like tackling master data and preparing invoices. Its key components provide extended facilities that include SAP bill direct. This is a significant advantage when dealing with a substantial amount of customers. 2. Give an estimation of the amount of data that FICA can usually handle The organizations utilizing SAP FICA generally deal with open items. The most significant challenge is that these organizations are clearly overwhelmed by the overrated amount of consumers which automatically increases the number of open items. The advanced design of FICA helps enterprises deal with nearly 'millions' f consumers efficiently with the management of open items that are approximately ten times more than the number of customers. FICA has the capability to process large databases by providing full control to organizational administrators, and it is mainly due to its adequate memory storage space. It has the capacity of running complex tasks such as. Posting Dunning Processing Paying 3. What are the elements of the application administered by FICA documents for the current accounts assignments? The present accounts assignments are given out from the applications listed below. The high costs controlling and profitableness analysis known as CO-PA in the technical term. It involves the cost unit, project, order, and the income unit. General Ledger. It usually includes the G/L account, enterprise code, and business region. 4. What are the top sectors in which the module of SAP FICA is widely used as a solution? The sectors in which the SAP FICA acts as a core solution includes the following. Public Sector Telecommunication Utilities Insurance and allowance 5. What are the segments in which the reconciliation key is stocked? The posing totals in FICA are categorized based on the independently identified reconciliation key. The reconciliation key in the SAP FICA are often stored in, Posting totals(FICA) Document header(FICA) General ledger document header as a foreign advertence 6. What are some of the core benefits of using SAP FICA According to several surveys and studies, one of the foremost benefits of SAP FICA is that its usage not limited to any particular industry. It can be utilized even if the organization does not belong to the utility, insurance or telecommunication sectors. Moreover, the package's ability to deal with an extensive amount of customers in a short period with maximum cost-effectiveness has provided the organizations with the best leverage. The features like A/R information tracking, materials management (MD) allows tackling large customer databases in the most integrated technique. 7. Can you explain the difference between 'SAP FICA' and 'SAP FICO?' SAP FICA and FICO are both highly advantageous and far-reaching modules presented by SAP. The FICO interface offers the ability to deal with much more critical and complex methodologies required in professional trading bodies. It is often utilized by Tax authority groups, banking businesses, managers, etc. There are ample facilities for personalizing the service obtained as per required specifications of users. The SAP FICA was first introduced in the year 1999 and is one of the most entrusted modules in today's industry. It was mainly established to reduce pressure and mismanagement when it comes to handling a substantial amount of consumers. The FICA is a sub-ledger function that is used alternatively for the FI-AR -module as well as the accounts payable module. 8. State some of the specific utilities of SAP FICA in few points The usefulness of FICA cannot be explained in a nutshell, but some of the main advantageous services would include the following: SAP business affiliate concept Simultaneous Mass Runs FICA is also integrated to SAP packages that include BI, FSCM, CRM, etc. Storage customization and optimization made possible by the advanced document scheme inbuilt in FICA The documents are accredited to contract accounts and trade associates 9. Define the terms TDM and BDM The master data theory model of the IS-U is grouped in two primary categories which include the following. Technical data model(TDM) - Customers seek a large number of services from organizations, and the act of really catering a particular service to the consumer by utilizing a master data is categorized under the Technical Data model in SAP. For instance, a trading affiliate who can be an enterprise or an individual. Business data model (BDM) - Customers are often charged and billed for several types of services. Organizations handle similar categories of service billings in infinite numbers and hence, they require an order-wise grouping procedure. Consequently, the master data used for charging consumers are considered under the BDM in the SAP, IS-U model. 10. Explain the concept of 'contract account' in SAP FICA The contract account is a standard terminology often used when working with SAP FICA. It is the most significant medium through which business affiliates are connected to contracts. Several contracts can be categorized under many contract accounts, but when allocating a single contract, it is eligible for only one contract account. The contract account is a highly methodical and rational medium of categorizing multiple agreements. It is mainly utilized for tackling payment affairs, dunning, etc.

SAP FICA Interview Questions 11. What is a point of Delivery? The point of delivery is a universally recognized distinctive service location where a particular service or utility is catered. In the deregulated market scenario, there are extensive clusters of service providers leveraging consumers every day with innumerable types of service. For instance, a service provider catering power and electricity supply in an enterprise and its related locations where a different service provider is catering other services like extended assistance services, billing services, etc. To avoid disputes, the concept of point of delivery is introduced to detect a service point distinctively. 12. What happens in the process of installation? The installation is a significant level that every service provider needs to pay attention to. It is a set of several billing techniques and methods that service providers need to follow. Each scheme is set as per the nature of service. It includes rate tariffs, billing schemes, etc. The systems are categorized as per registers in the notion that particular billing evaluations can be settled for their respective services. 13. According to you what is one of the drawbacks in the features of the FICA module? The SAP FICA is definitely a dynamic module that is used by both experienced and contemporary business figures in today's date. However, the feature of reporting is bound to specific organizational infrastructure. Business figures using the SAP FICA need to have the Business Information Warehouse, that is the BW equipped with their infrastructure. Organizations willing to use the particular package need to install BW separately. 14. Substitution and confirmation are utilized in which application operations? The application fields include, Asset Accounting Consolidation Project system Cost accounting Profit unit accounting 15. State some of the modules where financial accounting is integrated The peripheral modules are as follows. Human resource Distribution and sales Production structuring Managing monetary transaction Martial maintenance 16. Specifically, mention the organizational components in SAP FI The organizational elements include the following. Trade area Enterprise code Account Chart Functional field 18. Explain the concept 'APP' in the module of SAP FICA The full form of APP is automated payment program. It is one of the highest performing tools leveraged by SAP to its clients. Enterprises use it for carrying out financial transactions with consumers and vendors. It assists in bringing more accuracy and perfection in the process while dealing with consumers and vendors via hand-operated posting. 17. State the choices of Financial years in SAP The financial or fiscal year is an organized method based on which the commercial information is treasured. SAP offers four specific periods and twelve regular periods. The particular periods are stocked in the financial year alternatives, which are, Year dependent financial year The calendar year that includes the periods from January to December and April to march. 19. How many categories of currencies can be composed for an enterprise code? There are three categories of currencies composed of enterprise code. One of them is 'provincial currency,' and the other two are 'co-extending currencies.' 20. Provide the primary phases of the payment run process of SAP The phases of the payment run include the following steps. Parameter infiltrating (Enterprise code, dealer accounts, Payment strategies) Scheduling request (A request for the paid bills are put forward by the system) Payment reservation or booking (Indicates the reserving of the invoices in the ledger) Printing forms of payment (For instance, cheque) 21. Define one-time dealers or vendors and how do they help? An organization deals with a significant amount of transactional and financial and financial affairs. It is not feasible for them to introduce advanced master records for each business affiliates. This is precisely where the one-time vendor steps into the frame. It offers a dummy dealer code that is used as a template to carry out billing entries. It also allows utilization of the data stocked in the vendor or dealer master. 22. Name the generic exchange rate category that is used for every SAP transactional affairs? The exchange rate category for every transactional activity in SAP is ‘M’, which is the 'average rate.' 23. What are the core elements that SAP FICA is dedicatedly integrated with? The essential elements of SAP FICA integration are Customer relationship management (CRM), Controlling (CO) and SD. SAP invoice direct is another integration component that has contributed largely to the efficient functioning of organizations. 24. State the critical difference between an enterprise and enterprise code? The enterprise code is a standard terminology often used in SAP. The company or enterprise code is the minor form of unit, in which a group of autonomous accounts can be utilized for extraneous reporting purposes. On the other hand, an enterprise or company is an organizational field that is being used in the legislative consolidation module to assimilate monetary statements of different enterprise codes. 25. How is the distinctive or particular period utilized in the financial variant? The particular period of time is usually utilized to operate or carry out tasks aligned to the closing financial year. It may include insertion of audits, tax alteration ad regulation and more. 26. Define the concept of the posting period? The posting period is usually responsible for deciding the type of posting period eligible for every enterprise code, and the types may include both special and regular. Often organizations possess differing posting period variants based on every company code within the enterprise. 27. What does a controlling area mean? The concept of controlling area indicates a location where the activities like financial transactions, revenue evaluation, and other calculative affairs are managed. It is one of the chief enterprise units and is considered under the CO module. SAP FICA Questions and Answers Pdf Download Read the full article

[setshape]

20 Ways Shape Software Will Grow Your Mortgage Business

Did you know that in 2018, 78% of homes were purchased with a mortgage here in the U.S.? In other words, the mortgage industry is booming. Smart brokers and teams know that to stay competitive you’ve got to keep up with the latest trends and technology. Follow these 20 proven insider tips on how to grow and improve your mortgage business in this thriving marketplace.

1 – Save hours on administrative work every day.

Mortgage loan officers are responsible for a variety of paperwork, tasks, and client interactions at any given moment. These procedures are often both complex and dynamic. A paper and pencil system no longer makes sense.

Not only does it make sense to adopt a modern, upgraded business management system - it’s what your mortgage clients have come to expect. Use software like Shape Mortgage to automate your daily to-do list and spend more time helping your clients.

2 – Increase the productivity of your entire workforce.

Managing a team of loan officers means dealing with the many messages, replies, and comments they have daily. It can often be challenging to get everyone on the same page and all too often, important client details or new leads slip through the cracks.

A centralized online hub for your business needs provides a single location where your employees can share updates, import files, and document their progress. Shape’s cloud-based tool offers maximum accessibility and user permissions to help you manage sensitive data.

3 – Strengthen relationships with prospects and clients.

Relationship building used to require a lot of time and energy. Thanks to marketing automation software included in Shape, creating or improving relationships can be automated, authentic, and successful. Shape offers features that help you streamline relationship building via email, social media, and text messaging.

4 – Automate follow ups.

Fact: Following up with prospects helps you win more business. About 80% of sales require five follow up touch points. For busy mortgage professionals, following up with every lead that many times isn’t sustainable.

At least not without the right software. A proper mortgage software system can send perfectly timed follow-ups at any stage of the sales lifecycle. Customizable templates and automated email delivery triggers make those five follow ups a snap.

5 – Build email drip marketing campaigns.

Open rates for drip email marketing campaigns are 80% higher than single emails! Drip messages also have a click through rate that’s three times higher than their one-off counterparts. Building these campaigns doesn’t have to challenging or even time consuming. Shape actually can be configured with pre-built templates, or you can design your own campaigns, to nurture effectively based on status, lifecycle, and more.

6 – Provide timely status updates.

Sometimes the process of acquiring a mortgage takes longer than you would like. Keep prospects reassured with status updates you can set and forget. They’ll be alerted to any new signatures required, paperwork requests, or follow up meetings as they come up. With Shape’s client portal, you can even build a robust welcome center where they can upload those documents, read more about your business, get status updates, and more.

Putting prospects' minds at ease is one major way you can stand out from the competition through excellent customer service.

7 – Calculate amortization payments with ease.

Accurate and real-time payment data is critical for your business. After all, it’s what’s used to make some of your most important decisions. Plus, your customers have come to expect quick results so having a handy system for crunching these numbers is a necessity. Shape comes loaded with the calculators your mortgage business needs to always give the most accurate data available.

8 – Improve your intake process.

The hope most people have when they first adopt mortgage software like Shape is that the program will cut down the time they spend on everyday tasks. The intake process can be time consuming when done manually. But it’s one of your most powerful customer service tools. Automate the process with e-Signature capabilities, reminders, and status updates sent for you.

Mortgage businesses who automate parts of their onboarding see turnaround times shrink from weeks to hours.

9 – Organize company wide communication with one central hub.

Taking notes on paper that can get lost or thrown out is not a great way to maintain compliance or run a mortgage business. With Shape, mortgage professionals can keep each other up to date with real-time data, comments, and information. If someone on your team needs to quickly reference a client projects they can quickly log into Shape to view notes from their colleagues.

Shape also allows you to assign leads and tasks on the fly to team members, so no to-do ever slips through the cracks again.

10 – Score your leads by quality.

What if you could have a system that seamlessly reviewed every new prospect, assess their needs, and generate a score based on their interest and urgency? Add it to the list of all the other amazing features Shape has to offer.

Shape Mortgage Software will automatically score your leads based on data from your company as well as any specific parameters you can set and manage at any time. Once your leads are scored you can concentrate your efforts on reaching out to those with the highest ROIs first or even automatically assign them to marketing campaigns.  

11 – Eliminate duplicate leads for better customer communication.

Let’s say you have multiple files for the same lead. One has their nickname and phone number. Another has their full name and business email. And yet another one has their name, LinkedIn profile, and notes on your last meeting. Annoying is a nice way to put this problem.

If you or your employees look up this lead, there’s no way of knowing which version they’ll choose. Which means that notes added to one file might not make it over to the other. So your lead might be getting repeat sales calls from different reps. This kind of sloppy customer service can be remedied with features like Shape’s automatic duplicate merger.

Even if a team member accidentally creates a new file for someone already in the system, Shape can scan, detect, and merge them so all your information remains in one place. This will save you tons of time and headaches over the lifetime of your account.

12 – Sync your loan process with your other favorite apps.

Exporting to Fannie Mae 3.2 File or bi-directionally syncing with your LOS makes the whole process quick and easy. It also eliminates the need for extra administrative work. Shape Mortgage Software does this, as you may have already guessed, automatically after you’ve synced your accounts.

13 – Keep an eye on your website analytics.

Experts recommend that you track and review your website analytics if you want to grow your mortgage business. See which CTA button colors and placement get the most clicks. Or find new ways to improve the overall user experience. Shape helps you create custom forms and automatically collect data from your website visitors.

14 – Record and store phone conversations for future reference.

Whether you need to review information for compliance or reference it as a great case example for the future, recording and storing phone conversations is a valuable tool for your mortgage business. Utilizing Shape’s best-in-class integrated dialer with call scripting and recording is one of the best ways to improve your mortgage business. And, as long as you have their permission, your clients will appreciate your attention to detail.

15 – Prioritize client communication via SMS messaging.

Mortgage lenders can use texting in lots of great ways. And according to Ellie Mae, borrowers seem to prefer it more and more. Keep up with these shifting consumer preferences by adding Shape’s SMS messaging capabilities to your mortgage business tool box. Send one-off messages to your prospects and clients or build SMS into your next big marketing campaign with ease.

16 – Automatically organize lead overflow.

Yet another magic trick Shape can perform for you! If you often get backlogged when new leads come in you can use Shape’s intelligent overflow management interface to gather and prioritize it all. They’ll be sorted based on status or timeframe so you can concentrate on high priority items.

17 – Use a CRM.

If you’re not already using a CRM, it will transform your business. Especially if you run a one with multiple employees which most mortgage companies do. CRMs like the kind Shape Mortgage Software offers give you full transparency and visibility into your entire database of clients, prospects, and referrals. Keep more accurate records of your clients, search prospects, store documents in one central place, and so much more.

18 – Sync your email with your calendar.

It’s a small task but when you’re planning multiple meetings every week that involve different groups of people, manually adding it all to your calendar gets time consuming. Syncing your email to your calendar saves you the trouble of having to weed through old email chains to find someone’s information. It also makes it easy to add, confirm, and remind meeting participants without having to exit your business management platform.

Shape’s meeting scheduler will also keep your team in sync and your clients from missing any important calls.

19 – Use advance reporting to review the health of your business.

While Shape Mortgage Software does help you with the important day to day details, it also keeps you focused on the big picture. Advanced analytics and reporting helps you take a deep dive into what’s working for your business and what’s not. You can keep track of things like cash flow, lead sources, and open cases in real time.

Wondering what the ROI of your last big marketing campaign was? Shape can even run reporting for sales and marketing, which will allow you to properly invest your time (and money!) into business decisions that actually move the needle.

20 – Integrate your business management software with your tools you use every day.

Adopting a system like Shape doesn’t mean you have to give up your other favorite business tools you rely on. In fact, you can seamlessly integrate apps like Zillow, MailChimp, and many others in just a few simple steps. It all seamlessly comes together to form a collaborative ecosystem of mortgage business tools so you can achieve maximum efficiency and productivity.

 Article Source:- https://setshape.com/blog/20-ways-shape-software-will-grow-your-mortgage-business

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https://solaceinfotech.com/blog/bi-analytics-using-spago-bi/

[seoanalysegooglelksq633-blog]

Was verdient ein Junior Online Marketing Manager?

Fordern Sie jetzt ein kostenloses Angebot für Ihre SEO Optimierung an! Nur mit Spaß, Motivation und einem gewissen thematischen Verständnis kann SEO gelingen. Kommentar. In dieser Zeit kann man sich von der Qualität der Agentur Arbeit überzeugen, ohne sich unnötig lange zu binden. SEO ist nicht schwer, wenn man sich an die Spielregeln hält. Jetzt anmelden. Name. Authorship ist... Was mir sofort auffällt: Auch in den Posts in denen es nicht um die Produkte geht sondern um Sportereignisse, Feiertage und ähnliches, sind dennoch immer die Produkte des Unternehmens zu sehen. Das Reporting Center ist eine Eigenentwicklung der Online Solutions Group (OSG) und wurde speziell für unsere Kunden entwickelt. Und: Selbstgemacht.

SEO Beratung und Service bei größeren SEO Projekten. Dabei ist jedoch zu achten, dass die Inhalte beider Seiten in irgendeiner Weise zusammenpassen. Click on Load video to unblock YouTube. ( Link ) Hier finden Sie die neusten Beiträge aus der Welt der Suchmaschinenoptimierung, Neuigkeiten zu Online Marketing und hilfreiche Tipps, die Sie auch ohne eine professionelle Werbeagentur umsetzen können. Dies wird durch kontinuierliche Suchmaschinenoptimierung (engl. Wie funktioniert effektives Onlinemarketing im Detail? Hallo Moritz,

Optimierung Suchmaschinen

Suchmaschinenoptimierung Google

Suchmaschinenoptimierung Dortmund

Seo Referenzen

Website Analyse

Es gab vor ziemlich genau zehn Jahren tatsächlich jemanden, der so voging Meiner Meinung nach gibt es vor allem wegen solcher Spam Methoden heute keinen sogenannten „Newbie Bonus mehr. Am Besten kontaktieren Sie die beste SEO Agentur Schweiz unverzüglich. Herausragende Erfolge Dank der optimalen Suchmaschinenoptimierung für Google. Zum Teil sehr unverständlich für mich weil mach eine Seite die nichts mit Webdesign zu tun hat, taucht in den Ergebnissen vor meiner auf. Tansania (TZ) Wenn die Website keine spannenden Inhalte bietet, wird sie keine automatische Verlinkung generieren. Dabei werden die verschiedensten Fragen aufgenommen, u.a. Zusätzlich betreuen wir bundesweit Unternehmen, die einen starken Partner in Sachen Online Marketing benötigen. Der Metatag „Description sollte in ein bis zwei Sätzen und maximal 200 Zeichen den Inhalt der individuellen Seite zusammenfassen. 5. Calls to Action.

Was Macht eine SEO Agentur?

Ups! Gutes Webdesign. Relaunch Betreuung durch SEO Experten: So verlieren Sie keine Rankings. Die FAIRRANK GmbH bietet Unternehmen zukunftsorientierte… Aber natürlich bleibt Steve auch seiner Heimat treu und spielt auf zahlreichen Karnevalsveranstaltunggen im Rheinland. Alternativ lassen sich Freelancer temporär für bestimmte Aufgaben finden. Internet Anwenderkenntnisse. Die Second Elements SEO Agentur blickt auf zwei Jahrzehnte Erfahrung im Bereich SEO (Suchmaschinenoptimierung) und SEA zurück. Welche Themen und Fragestellungen stellen sich potenzielle Kunden eines Services? Werft mal einen Blick auf die Seite und widersprecht mir ruhig, aber in meinen Augen ist dies ein schlechtes Beispiel für gelungenes Social Media Marketing. Die Anwendung von Dienstvertragsrecht im Bereich der Suchmaschinenoptimierung hat ihre Berechtigung, wenn es um die Verbesserung von organischen Rankingpositionen der Website geht, da niemand aufgrund des geheim gehaltenen Google Algorithmus in der Lage ist, konkrete Positionen für bestimmte Keywords zu versprechen.

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Das sind natürlich kurz vor dem Wochenende sehr gute Nachrichten. Contao. Single Seite mit allen Informationen. Das ist vor allem der zunehmenden Nutzung von Social Media Netzwerken und dem Aufkommen des Community Marketings geschuldet. Und buchen Sie SEO niemals vermeintlich günstig online und anonym per Formular. Umfangreiche Onpage Optimierungen. Gibt es schwerwiegende Fehler, die sofort behoben werden müssen? Hier sollten man ein besonderes Augenmerk auf die Schwerpunkte der verschiedenen Mitarbeiter richten. All Rights Reserved. Modernes Webdesign. Akademischer Werdegang. SEO Beratung, Suchmaschinenoptimierung und individuelle SEO Maßnahmen von Ihrer SEO Agentur aus Dresden. Wir installieren Ihnen eigene Cloudsysteme für Ihre individuellen Ansprüche mit hohen Sicherheitstandards.

Die Inhalte Ihrer Website (Content) sind ein wichtiger Anhaltspunkt für Suchmaschinen. Sei es PPC, Affiliate oder Social Media Marketing! Egal ob Google, Bing, Yahoo, Ask oder ein anderer Anbieter: die Unternehmen arbeiten ununterbrochen daran, ihre Algorithmen dahingehend zu ändern, dass die Suchanfragen der User bestmöglich beantwortet werden. Online Shop. Sehr hohe Effektivität. Gute Englischkenntnisse. Mit einer fachlichen Anerkennung oder besonderer Reputation hat dies dann leider nichts zu tun.

Bei dynamischer Bereitstellung verwenden Sie den Vary HTTP Header, um Ihre Änderungen in Abhängigkeit vom User Agent zu signalisieren. E pixler NEW MEDIA GmbH Die Fullservice Internetagentur e pixler ist Ihr Profi für Webdesign, TYPO3, SEO, Usability. Durch eine gute Positionierung Ihrer Website bei Suchmaschinen erhalten Sie qualitativ hochwertige Besucher und Interessenten für Ihre Angebote. Wir wissen, was Ihre Kunden suchen und bringen die richtigen Besucher auf Ihre Website. Die ausgewählten Artikel zusammen kaufen. Das Video konnte nicht abgespielt werden. MARKETING NEWS. Die Agentur Landschaft ist in der Basis aus einer Szene entstanden.

Mit Unterseite. Seid dem wir vor zirka 8 Wochen „Düsseldorf aus dem Startseiten Titel und H1 enfernt haben und wir gehofft haben das Google nun die Unterseite rankt sind wir stattdessen mit dieser auf Seite 2 gefallen. Ihr professioneller Partner, für Ihr Unternehmen oder Ihre private Webseite! Eine SEO Optimierung macht Ihre Seite im Netz sichtbar und steigert so effektiv Ihren Traffic. Das Auswahl Menü SSL AKTIVIEREN steht jetzt bereits auf JA. Konkret bedeutet dies, dass Artikel eine Mindestlänge von 1.000 Worten umfassen sollten. Jetzt unverbindlich und kostenlos Angebot anfordern. Vertrauen ist schnell nötig: Pokémon Go. Die Online Marketing Agentur.

Google Optimierung

Auf den nachfolgenden Suchergebnisseite stößt man dann gerne mal auf die eine oder andere Information zur Agentur. Paul Paulus Johannes Theunissen. GTmetrix Performance Analyse. Die professionelle Webseite für alle Branchen und Gelegenheiten. Digitale Kommunikation, die funktioniert mit der richtigen SEO Agentur strategisch gut positioniert. So könnten Sie also leicht Ihren Ruf runinieren. Zu den wichtigsten gehört nach wie vor die Anzahl hochwertiger Links auf Ihre Website. Aber selbst für eine Website, die nur Google Analytics einbinden möchte, macht der Google Tag Manager Sinn, da er es erlaubt, einfach und schnell ein anspruchsvolles Tracking einzurichten, welches man ohne Google Tag Manager nur mit einem erheblichen Aufwand erreichen würde. Keine PageRank Senken. Unsere SEO Beratung für erfolgreiches Onlinemarketing.

Was kostet Google Optimierung?

Das als Taschenbuch erhältliche Buch Technisches SEO von Stephan Czysch, Benedikt Illner, Dominik Wojcik hat 304 Seiten und wird von Amazon für 29,90 Euro angeboten. Online Marketing Beratung. Ich wage an dieser Stelle zu behaupten, dass jegliches SEO Wissen im Netz öffentlich verfügbar ist. SEO ist kein geradliniger Weg, sondern besteht, wie unser Leben aus Berg und Talfahrten. Bitte auch in Zukunft mehr davon! Daher mein Rat: Konzentriere dich nicht darauf, bei deinen Texten immer wieder das gleiche Keyword einzubauen, sondern beantworte lieber die Fragen deiner Benutzer und du schreibst automatisch einen sehr guten, optimierten Text für deine Leser und für Google. Hinweis: Du kannst Deine Einwilligung jederzeit ohne Angaben von Gründen für die Zukunft per E Mail an Widerruf@ widerrufen. Du wirst ohne Umweg und in Sekundenschnelle von deinen Kunden und Interessenten gefunden, was den Vorteil mit sich bringt, dass deine Webseiten häufiger besucht werden und sie so deutlich mehr Käufer oder Interessenten generieren, die für eine wachsende Umsatzsteigerung sorgen. 07:37 07 Jul 16. Kurz gesagt, bei SEO gibt es niemals etwas einzurichten, maximal das Anlegen des Kunden im eigenen System. Anmelden Ihrer Website zu vorgezogenener Indexierung bei Google (es kann Wochen oder sogar Monate dauern bis Google Ihre Website findet) Sondern weil man als Selbstständiger oder als Agentur mit Stundensätzen von mindestens 80 Euro rechnen muss.

Gegen ein System, was sie erst ermöglicht haben Link. Kontakt. Also Screaming Frog geht zu öffnen oder? Weil der Erfolg einer Suchmaschine davon abhängt, relevante Suchergebnisse zu den gestellten Suchbegriffen anzuzeigen, konnten unpassende Ergebnisse dazu führen, dass sich die Benutzer nach anderen Möglichkeiten für die Suche im Web umsehen. Der Kurs verlief auch für mich sehr gut und hat sehr viel Spaß gemacht. Das hat die stundenlangen Betrachtungen von einzelnen Kanälen etwas interessanter gemacht. Zudem ist der Title neben der Meta Description das erste was User von einer Webseite zu sehen bekommen. Google Adwords ist ein klassisches Beispiel für bezahlte Suchmaschinenwerbung. Seit dieser Zeit entwickeln wir Optimierungsmaßnahmen und Konzepte zur besseren Sichtbarkeit von Onlineshops und E Commerce Lösungen für Magento.

Um die Website also als erfolgreiches Tool effizient nutzbar zu machen ist zum einen qualitativ und quantitativ hochwertiger Traffic nötig, der zum anderen Conversions produziert. SERP (Search Engine Result Page) Trotz allem gibt es hier natürlich auch Anbieter, die hier sehr unseriös vorgehen und haltlose Versprechungen machen. Die bezahlten Anzeigen spielen gerade bei kommerziellen Suchen eine große Rolle. Die drei wichtigsten SEO Tipps für Ihre Homepage finden Sie im Anschluss. Und: Die Mitgliedschaft im Bundesverband der digitalen Wirtschaft ist kein Qualitätsmerkmal! Diese Komplexität und Vielseitigkeit macht dieses spezialisierte Berufsbild des Webdesigners so attraktiv.

Ihre Vorteile. Zu seiner Arbeit gehört neben einer Nachfrage und Verbrauchsanalyse, die realisiert wird, indem er überprüft welche Suchbegriffe innerhalb der eigenen Zielgruppe besonders oft gesucht werden, auch die spätere Optimierung der Internetseite beziehungsweise des Online Shops. Beitragsnavigation. Vergeben Sie den Auftrag dann dorthin, wo Sie sich am besten aufgehoben fühlen. So lernst du die Abläufe in der Agentur kennen und siehst, wie einzelne Abteilungen zusammenarbeiten und ob das wirklich sinnvoll ist. Lag es vielleicht daran, dass ich bei Xing in mehreren Gruppen nachgefragt habe, ob jemand diesen Verein kennt? Wer sich zum geprüften Suchmaschinenoptimierer” ausbilden lässt, zertifiziert und sichert sich eine feste Stellung in der zukunftsträchtigen Internet Branche. ExpiresByType image/jpg „access plus 3 month. Eine gute OM Agentur hat kein Problem, sich daran messen zu lassen und keine Angst vor Transparenz.

[maritzaerwin]

How to Change Your Resume During COVID-19 (+ 3 Resume Examples)

“But why should I do it?”, you may ask. “Why should I change my resume during COVID-19?

Well, the coronavirus has changed the job market, whether we like it or not. 

Some job positions require a new set of skills. New positions are being created (whether temporarily or not), others are disappearing.

Workplace is changing rapidly as well — hiring as a whole went online and many of us have to work remotely.

If you want to increase your chance of success, you need to adapt your resume to those changes. I’m going to tell you how you can do that in eight simple steps.

Oh, and if you make it to the end of this article, you’ll find three well-written resume examples that put these steps into practice.

How to Update Your Resume for COVID-19?

You probably know already what your resume should look like in 2020 — short, with a modern look, customized for each job, and error-free (bullshit-free too). Most of those things still apply.

But there’s now more you should do if you want your resume to stand out under the current circumstances. Just follow these 8 simple steps:

1. Review Your Resume Format

Before you get down to updating your content, you need to choose the most suitable resume format based on your current situation.

The most common resume format is chronological. It’s focused on your work experience that is organized in chronological order. If you already have a resume, you’re probably already familiar with this format. In case you’re looking for a job in your current industry, you can keep it.

However, if you’re working in a coronavirus-affected industry and you’re seeking opportunities in another field, you should consider giving your resume the functional or hybrid resume format. 

Why should you opt for one of these? When changing careers, your past job titles may not be that relevant. Instead, you need to emphasize your transferable skills. Both of these formats focus on that rather than your work experience.

But what’s the difference between the two formats?

A functional resume revolves around skills or major accomplishments/career highlights and relegates work history to the bottom of the page (or not at all).

The hybrid resume format allows you to showcase your skills and accomplishments while providing a chronological summary of your work history just below.

Whichever resume format you choose, you should focus on your transferable skills like leadership, time management, delegation, customer service, or prioritization.

In other words, try to think of any skills that you could use in other companies as well and highlight them on your resume.

For instance, if you used to work as a flight attendant, you probably have strong customer service skills that you can use in a customer support role. (See the resume example at the end of this article for more.)

2. If You Got Laid Off, Explain What Happened

Has 2020 left you with a gaping gap on your resume? 

If you were laid off due to the coronavirus pandemic, it’s completely okay to mention it on your resume. There are two reasons for that.

First, those who provide a reason for their work gap receive almost 60% more interviews than those who don’t. 

Second, the reason matters a lot in this case. The whole world knows about the pandemic and understands the ramifications of it. Because of that, recruiters will understand your employment gap and won’t hold it against you when considering you for a position.

You can address this either in your professional summary or in the work experience section under the most current job title. 

Something like “Recently laid off due to the COVID-19 and currently looking for my next opportunity,” will suffice.

3. Fill the Employment Gap

This goes hand in hand with the previous point. If you got laid off, the best thing you can do is explain how you used that time to do something useful.

Your next job interview might even include the question: “What did you do during the pandemic to advance yourself?” 

Make sure you have something interesting to say.

Needless to say, it will help you frame the employment gap in a way that shows you in the best possible light.. In the end, it shows that you didn’t just wrap yourself in blankets like a depressed burrito but remained active. 

Pick up a New Skill or Two

Seek out online webinars, classes, or certificates. For instance, if you’re applying for a social media manager position, it will likely require experience with Google Analytics or Google Adwords. If you’re certified in either one or both, it will boost your chances of scoring that job.

Try Coursera, Udemy, EdX, or LinkedIn Learning. Most of these platforms offer free courses or discounts to make learning available to the recently laid off.

Coursera

LinkedIn

Udemy

edX

IBM

You can also familiarize yourself with the technologies that have proved essential during the coronavirus pandemic. For instance, take a course on the basics of Google Meet, Zoom, or other online platforms. This will help you enter a new COVID-19-era workplace.

Then you can mention these new skills in your skills section or create a separate section called Courses & Certificates.

Volunteer

Although it may not feel great to go back to being an unpaid intern, volunteering shows that you stayed proactive. And which employer doesn’t like that?

You can volunteer for those who currently need it — there are many organizations in need of help during the pandemic. 

Either that or you can volunteer from self-isolation — you can help organize a fundraising or start an online mentoring gig for students.

Alternatively, you can also reach out to companies you admire and ask them if they could find a volunteer position for you.

Then you can include it in your resume’s work experience or volunteering section.

Put Together a Portfolio or Work Samples

It’s one thing to claim you have skills, but it is another to back your words with evidence.

Now that you have a bit of time to spare, you can put together a portfolio that showcases your main competencies.

Collect your best designs, articles, publications, or other projects and turn them into a presentation, blog or your personal website.

You can then include a hyperlink to it in the contact information section of your resume.

4. Showcase Your Work Strategies

The coronavirus has turned most workplaces upside down. Chances are, you’ve already noticed some of these changes taking place before leaving your previous company.

Your resume needs to show that you’ve adapted to these changes in a proactive way.

If you’ve been on the frontlines of navigating through HR issues at your company, explain the impact of your work. Describe the leadership decisions you had to take to manage the crisis.

Also, there’s a chance you were doing something new due to COVID-19, be it working from home, adjusting the company’s strategy, or taking up tasks from laid off co-workers. Give yourself credit for that.

Here’s an example:

“During the COVID-19 crisis, I championed the implementation of video conferencing and other online resources to ensure the continuation of smooth and effective training delivery for all teachers and students. I also developed and launched online self-learning modules for independent students, and supported a move towards more longer-term online learning solutions.”

5. Mind the Tech

Teleworking skills or online tools like Zoom, Skype, Asana — all of these have quickly become essential to most workplaces. If you have these skills, make sure to mention them.

You can include them in your skills section or mention them throughout your resume — in your profile or work experience descriptions.

Here’s an example:

“As an IT specialist, I help to enable companies’ workforces to accomplish their day-to-day business activities by going remote using a variety of tools, such as:

Project Management tools (Asana, Trello, Zoho Projects)

Zoho One — Operating System for Business (Marketing, Sales, Operations, HR)

CRM (Hub Spot, Zoho CRM, Bitrix24)

Intranet ( JIRA, Zoho Help Desk)

Reporting, Data Visualisation (Tableau, Power BI, Plotly Dash, MicroStrategy)”

You can also mention other related achievements like increasing the company’s revenue, ability to cut costs, ability to manage remote teams, or experience with working from home.

6. Highlight Other (Soft) Skills

LinkedIn’s 2019 report revealed that over 90% of recruiters think soft skills matter just as much (if not more) than technical skills.

In fact, they might prove to be even more important in the age of COVID-19. 

How is it possible? Let me put it this way — it doesn’t matter if your IT manager is good with computers when he can’t communicate effectively with his team.

Here are most important soft skills that you can currently highlight on your resume:

Flexibility.

Adaptability.

Leadership.

Creativity.

Drive.

Communication.

Reliability.

Teamwork.

Problem-solving.

Decision-making.

Time management.

But remember that these words mean nothing on their own. The best thing you can do is mention them in your skills section and then back them up in your work experience descriptions with specific examples of how you used these skills in the past.

Something like this:

Communication skills — Built and strengthened customer relationships using effective communication skills providing a tailored approach to each client resulting in customer service recognized both by clients and the company.

Time management — Delivered accurate and timely administrative support to the underwriting team.

Leadership — Managed and mentored a team of 16 staff within the Birmingham office.

Creativity — Greatly increased the number of high-quality videos and graphics for tweets, resulting in the account growing from 50K to 107K followers during my tenure.

7. Get a Reference From Your Former Employer

It’s never too early to ask your former employer for a job search reference. Believe it or not, now it’s a perfect time.

In the end, what’s in the current job search situation better than having someone who can vouch for you and your abilities?

Needles to say, most employers feel bad about job cuts too and want to lend a helping hand. Beyond providing advice and assistance to land a new job, some of them will be also happy to provide you with a positive reference.

Ask your former employers, supervisors, or any other higher-ups if you can use them as a reference during your job search. If you’re not sure how to formulate your request, here’s a useful email template.

Then you can put your references directly on your resume. Either provide full details about your contacts or write the phrase “References available upon request.”

Alternatively, you can provide the references as a separate document attached to your job application.

8. Don’t Forget to Showcase Your Main Accomplishments

The goal of your resume is to emphasize your achievements, results, and projects to highlight your career value. Don’t let the coronavirus derail those efforts.

If you want to stand out in a growing crowd of job seekers, you need to show your value. How?

Quantify as much information as possible. Ask yourself questions like How much? How many? How often?

Any metrics you can pull in will be much more impactful than a generic description of your duties.

Here’s an example. It sounds a bit bland, doesn’t it?

Responsible for new sales and existing client growth.

Consistently exceeded quarterly and annual sales goals.

And here’s a revamped version:

Delivered 200% above sales revenue targets 2 years in a row.

Recognized as the Top Producing Sales Executive 2 years in a row.

Generated $12 million in revenue.

Resume Examples

A single example is often worth a thousand words, isn’t it? Let’s then finally put the theory into practice. 

Here are 3 well-written resumes adjusted to the current COVID-19 job search situation. They will help you get started:

1. COVID-19 Employment Gap Resume Example

If you got laid off due to COVID-19, try to use your time between jobs to do something pro-active and meaningful. 

Did you spend that time working as a volunteer in your local community? Did you 

complete any online courses or educational programs? Don’t hesitate to mention it in your resume, especially if it’s something relevant to your field. 

It will boost your chances of getting hired!

2. Career Change Resume Example 

If you’re pursuing a career change, give special care to your skills section.

Luckily for anyone who is (whether voluntarily or involuntarily) trying to get a job in a different field, the functional resume format allows you to focus your resume on transferable skills, strengths, and relevant achievements.

Don’t underestimate this CV format! Opening your resume with a properly written skills section might be something what will get you ahead in the job search during the coronavirus era.

3. Technical Skills Resume Example 

It’s 2020 and remote jobs are more ubiquitous than ever. Even before the COVID-19 outbreak, being able to work from home played a key role to many people when deciding which job to take.

Presumably, companies will need their future job applicants to be able to work on their tasks and projects regardless of their location.

If they hope to succeed in that, employees will have to become skilled in using various software tools which enable them to communicate with their colleagues, delegate tasks, share documents, etc.

That’s why you should always add various computer skills to your resume. Don’t forget that recruiters often sort CVs by whether the job candidates can use the software necessary for the position or not.

Additional Reading :

10 Best Job Search Apps for iOS and Android To Help You Get Hired Faster

The Best Tools to Get Hired in Under 30 Days

10 Differences Between a Resume and a LinkedIn Profile You Should Know About

#13 – Career Expert Series: Peter Duris from Kickresume.com

Kickresume Resume Builder Review (2020) 

The post How to Change Your Resume During COVID-19 (+ 3 Resume Examples) appeared first on CareerMetis.com.

How to Change Your Resume During COVID-19 (+ 3 Resume Examples) published first on https://skillsireweb.tumblr.com/

[brianobrienny]

Executive Insights: A Conversation with the “Father of Business Intelligence” Howard Dresner

It has been a great pleasure over the years to meet and work with some amazing pioneers in the world of high technology.  They all have several things thing in common – vision, passion, and ability to drive innovation and make their brilliant ideas become reality.

One such person is Howard Dresner, the Chief Research Office and founder of Dresner Advisory Services. I first met Howard over 30 years ago at DEC. The company was faced with the challenge of being successful in the field of information access, executive information systems and decision support system solutions.

This was also the early stage of Data Warehousing, and while these all worked together, they were comprised of disparate components.  At the time we used “marketecture” concepts to explain such complex solutions.

I have since come to understand this as an “inside-out” versus an “outside-in” concept; we started with the products and concepts and built out from there.  What was truly lacking was a unification concept that was easy to understand and consume.

I am proud to say I was in the room the day Howard Dresner coined the term Business Intelligence (BI) at DEC.  I remember that moment vividly, with a single graphic that unified disparate concepts, and an umbrella term that would go on to change the IT industry forever.

Howard took the concept to Gartner, became a VP and Research Fellow, and established the Gartner BI practice and a successful BI customer conference. As we say — the rest is history.  I joined Howard’s team earlier this year, and it has been great working in BI again — although I really never left, especially given how pervasive data and analytics have become in marketing.

Now in the thirteenth year of running Dresner Advisory Services, we had a chance to look back and discuss the state of BI, the changes we’ve both experienced in three-plus decades and discuss what the future may hold.

Q: Howard, you have been at the forefront of Business Intelligence literally since the creation of the concept, have been a BI practitioner and a thought leader and witnessed extraordinary change over that time. What is your take on the evolution of BI tool, technology, solutions and where is the market headed next?

A: Ultimately, we’re headed to what I call “information democracy” where all stakeholders have access to timely, relevant and actionable insights. While most people get hung up on tools – and there are some impressive ones – we still have the majority of users without access to actionable insight.

Q: I recently had the opportunity to interview Scott Brinker, VP of Platform Ecosystem at Hubspot and the “father” of Marketing Technology (MarTech) – Scott spoke about the phenomenon where software companies are incorporating services and services companies are incorporating software to redefine core concept of solutions.  How do you see that impacting the Business Intelligence marketplace and how we define BI solutions?

A: I haven’t observed many/any software companies that want to venture into the services business. That said, many/most are concerned with customer success. So, having some services capability is key. Conversely, many/most services organizations seek higher margin businesses – like software. In the BI space, System Integrators (SIs) will leverage off-the-shelf software but also develop some of their own “added value” supporting higher margins.

Q: We often segment the success of customers in a market as “leaders, laggards and those in the middle”. What are some characteristics of leaders in BI today and what differentiates them from the other groups? Are their key technologies and best practices those in the middle can implement to step up and become leaders?

A: Technology does not define leadership in this space. What makes a difference is having a vision at the most senior levels for how information and insight are used to help align stakeholders with the strategy and mission of the organization. And, while technology is important, it serves as an enabler for a more evolved and visionary organization.

Q: Both of us have lived through major technology changers and paradigm shifts – PCs, client/server, networked business solutions, the rise of the packaged software/ISV industry and much more. How does the rise of cloud solutions and SaaS and “everything as a service” (XaaS) impact and define the future of BI?

A: We’ve been tracking the cloud and SaaS phenomenon for a decade and have seen it go from nascent to mainstream. However, conceptually, it’s not new. Many years ago, there was something called “timeshare” which offered similar benefits: no on-premises systems or software, and, with managed services, there was no need for technical staff. This made solutions affordable for many more organizations like Small and Midsize Enterprises (SMEs). Certainly, technology has advanced since that time. However, conceptually they are quite similar.

Q: Do you see skills gaps in today’s BI marketplace, and if so, what are they? As the recent global COVID19 pandemic has dramatically accelerated digital transformation, what has its impact been upon the BI marketplace and how will the landscape change?

A: As more people have access to business intelligence/analytics, data literacy has not kept pace. Again, technology and tools alone won’t move an organization forward. People have to gain insight and execute based on that insight. However, most organizations report only modest data literacy. To be fully successful, organizations should establish a mandatory data literacy program – to establish basic data fluency all the way to sophisticated data science skills.

Regarding Covid-19, we’ve been tracking its business impact since early this year. And, in fact, our survey will remain open until the pandemic ends at covidbusinessimpact.com. As a result of the pandemic we’re seeing greater demand for data-driven insights than ever before. Anecdotally, I’ve been told that BI projects that struggled for funding in the past are now getting funded and have greater urgency than before. In addition, organizations are focused on greater self-service, collaboration, governance and cloud-based delivery – all of this with an eye to enabling the digital enterprise.

Howard, thank you very much for your tremendous insights. We appreciate you showcasing why Business Intelligence is such an exciting place to be and thank you for your decades of outstanding leadership.  Be sure to follow Howard and join him and the Dresner Advisory team for their monthly Luncheon Learning webinars, weekly #BIWisdom “tweetchat” (on summer hiatus until September, then Fridays at 1 PM EST) and for the upcoming Real BI Conference (virtual for 2020) on August 11-12 2020.

And to think I’ve been saying @howarddresner coined the term #BusinessIntelligence now for what 30+ years but the #incas were actually first! True #BIWisdom learn more at the virtual @RealBIEvent https://t.co/dXzAox0ehH

— Fred M. Isbell (@fmisbell) July 16, 2020

Howard is founder and Chief Research Officer at Dresner Advisory Services, LLC and founder and chair of the Real Business Intelligence Conference, Author and a former Gartner Research Fellow and Analyst Follow him @howarddresner

Fred is a Research Director at Dresner Advisory Services, a high technology industry marketing veteran and former Senior Marketing Director for SAP Global Marketing. Join him online: Twitter, Facebook, LinkedIn

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