#SAS for Automated Data Preparation

[greatonlinetrainingsposts]

SAS for Automated Data Preparation: Streamlining Analytics for Faster Insight

Data preparation is often considered one of the most tedious and time-consuming parts of the analytics process. Businesses must clean, structure, and transform raw data into a format that is suitable for analysis. Without the right tools, this process can take a lot of time and effort, often delaying the insights businesses need to make important decisions.

SAS, however, is revolutionizing this process by offering powerful automated data preparation tools that save time, reduce errors, and improve the overall efficiency of the data analysis pipeline. Through SAS tutorials and SAS tutorial for beginners, organizations can learn how to automate data cleaning, transformation, and integration tasks, helping them focus more on insights and less on data wrangling.

The Importance of Automated Data Preparation

Effective data preparation is crucial for accurate analysis. Data is often messy, inconsistent, and incomplete, and organizations need to ensure that the data they analyze is clean, consistent, and in the right format. SAS offers tools to automate these data preparation steps, helping businesses reduce manual errors and accelerate their analysis process.

By automating routine data tasks, SAS allows businesses to focus on deriving insights, rather than spending excessive time cleaning and transforming their data. SAS online training can help individuals understand how to leverage these automation capabilities to streamline their data preparation process and improve efficiency.

How SAS Automates Data Preparation

Data Integration

Businesses often have data stored in multiple locations, from customer databases to spreadsheets to cloud platforms. SAS automates the process of integrating this data, ensuring it is centralized and ready for analysis. With SAS programming tutorials, you can learn how to connect different data sources and bring them together effortlessly.

Data Cleansing and Validation

One of the challenges with raw data is that it is often incomplete or incorrect. SAS helps automate the process of identifying and correcting errors, such as missing values or duplicates, ensuring that the data used for analysis is reliable and high-quality. This automated process not only saves time but also improves the accuracy of the analysis.

Data Transformation

In many cases, data needs to be transformed into a specific format before it can be analyzed. SAS offers automated tools to carry out this transformation, ensuring that data is ready for use without the need for manual intervention. With SAS tutorials, you can learn how to set up these automated workflows to handle complex data transformations with ease.

End-to-End Automation

SAS allows for the end-to-end automation of data preparation processes. From extracting data to cleaning and transforming it, everything can be automated, allowing analysts and data scientists to spend their time interpreting results rather than performing repetitive tasks. SAS tutorial for beginners can teach you how to set up and fine-tune these automated processes for maximum efficiency.

Key Benefits of Automated Data Preparation with SAS

Faster Insights

By automating data preparation, businesses can reduce the time spent on cleaning and structuring data. This allows them to access insights much faster, enabling timely decision-making.

Improved Data Quality

Automating the cleansing process ensures that data errors are minimized, leading to more reliable and accurate analysis. This is crucial for organizations that rely on high-quality data to drive their business strategies.

Cost Savings

Manually preparing data can be both labor-intensive and resource-draining. By automating these tasks, businesses can significantly reduce operational costs and allocate resources toward more value-added activities, such as analyzing and interpreting the data.

Scalability

As businesses grow, their data volumes increase. With SAS, automated data preparation scales with the business, ensuring that data preparation can handle large and complex datasets without requiring additional manual intervention.

Real-World Applications of Automated Data Preparation

Retail: Automating the integration and cleansing of sales data from multiple channels to provide a comprehensive view of business performance.

Healthcare: Automating the validation and transformation of patient data to improve the efficiency of medical research.

Financial Services: Automating data verification to ensure compliance with regulations and prevent fraud.

By adopting SAS for automated data preparation, businesses can significantly reduce the time and effort required for data cleaning and transformation, leading to faster, more reliable insights.

[unicodehealthcareservices45]

[brollyacademysblog]

Clinical SAS programming A complete guide

Introduction

Clinical SAS programming is a specialized field that utilizes the SAS programming language to handle the vast and complex data generated in clinical trials. SAS, a statistical software package, is extensively employed by pharmaceutical and biotechnology companies for its robust data management, analysis, and reporting capabilities.

In terms of data management, SAS is used to clean, transform, and manage large datasets, ensuring they are organized and ready for analysis. This is a critical step in clinical trials, where large volumes of data are collected and need to be processed efficiently.

For analysis, SAS can perform a wide range of statistical analyses, including descriptive statistics, inferential statistics, regression analysis, survival analysis, and analysis of variance (ANOVA). These analyses are crucial in interpreting the data collected in clinical trials and drawing meaningful conclusions.

Finally, Clinical SAS programming is also used for reporting. It can generate various reports, including integrated summaries of safety and efficacy (ISS/ISE), clinical study reports (CSRs), and other regulatory documents. These reports are essential for communicating the results of clinical trials to regulatory authorities, medical professionals, and the public.

SAS in Clinical Domain

Data Management: SAS is used to clean, transform, and manage clinical trial data. It can handle large datasets and perform data validation, data integration from different sources.

Statistical Analysis: SAS is used for statistical analyses, such as descriptive statistics, inferential statistics, regression analysis, survival analysis, and analysis of variance (ANOVA). These analyses help researchers and clinicians to draw conclusions from clinical trial data.

Data Validation: Checking the accuracy, consistency, and completeness of clinical trial data by performing data validation checks, identifying discrepancies, and resolving data-related issues.

Safety Reporting: Generating safety reports and listings to monitor adverse events and safety data during the trial.

SDTM (Standard Data Tabulation Model) Conversion: Converting clinical trial data into SDTM format, which is a standardized data model for regulatory submission.

ADaM (Analysis Data Model) Implementation: Creating ADaM datasets, which are analysis-ready datasets used for statistical analysis.

Report Generation: Preparing clinical trial reports, including integrated summaries of safety and efficacy (ISS/ISE), clinical study reports (CSRs), and other regulatory documents.

Data Quality Control: Implementing quality control procedures to ensure the accuracy and reliability of analysis results.

Data Visualization: Creating data visualizations, such as graphs and plots, useful for data exploration and presentation of result.

Automation: Creating SAS macros to streamline and automate repetitive tasks and improve programming efficiency.

Medical Coding: Performing medical coding of adverse events, concomitant medications, and medical history terms using standardized dictionaries like MedDRA (Medical Dictionary for Regulatory Activities) and WHO Drug.

Career in Clinical SAS

A career in Clinical SAS programming is rewarding and offers a wide range of opportunities. The SAS Academy for Clinical Programming offers a comprehensive training program that prepares you to work as a SAS Certified Clinical Trials Programming Professional. The combination of coursework and hands-on learning helps you build a foundation of clinical research theory and data analysis skills.

Conclusion

Clinical SAS programming is indeed a vital skill in the pharmaceutical and biotechnology industries. With a solid foundation in SAS programming and a comprehensive understanding of clinical trials, you can pave the way for a successful career in this field.

Whether you’re a biostatistician, a clinical SAS programmer, or someone interested in the field, learning Clinical SAS programming can open doors to a plethora of opportunities. It’s not just about job prospects; it’s about contributing to the advancement of medical research and the development of new treatments and therapies.

In conclusion, mastering Clinical SAS programming is not only professionally rewarding but also offers the chance to make a significant impact in the healthcare industry.

what are the best ways to learn Clinical SAS? We run a training institute in Hyderabad named Brolly Academy. We do offer best Clinical SAS training in Hyderabad with job assistance. Now when you list the best ways to learn Clinical SAS include Brolly academy's Clinical SAS Training as one of the way.

[marketinsightt]

Machine Tools Market Size, Share, Trends, Key Drivers, Demand and Opportunity Analysis

Machine Tools Market Segmentation, By Product Type (Milling Machines, Drilling Machines, Grinding Machines, and Electrical Discharge Machines), Automotive (CNC Machine Tools and Conventional Machine Tools), Industry Segment (Automotive and Transportation, Sheet Metals, Capital Goods, and Energy), Sales Channel (Events and Exhibitions and Dealers and Distributors) - Industry Trends and Forecast to 2032

The global machine tools market was valued at USD 80.35 billion in 2024 and is expected to reach USD 106.62 billion by 2032 During the forecast period of 2025 to 2032 the market is likely to grow at a CAGR of 3.60%, primarily driven by industrialization in emerging economies.

An influential Machine Tools Market report looks over the market with respect to general market conditions, market improvement, market scenarios, development, cost and profit of the specified market regions, position, and comparative pricing between major players. To get knowledge of all the above factors, a transparent, extensive, and supreme-quality report is created. This market document has been prepared with the thorough market analysis carried out by a team of industry experts, dynamic analysts, skillful forecasters, and well-informed researchers. Key players in the market, major collaborations, merger and acquisitions along with trending innovation and business policies are also reviewed in Machine Tools Market report.

Market research covered in the winning Machine Tools Market business report helps the management of a firm in planning by providing precise and up- to-date information about the consumer’s demands, their changing tastes, attitudes, preferences, and buying intentions etc. The report also includes a comprehensive evaluation of the market’s growth prospects and restrictions. The industry analysis report provides guidelines about planning of advertising and sales promotion efforts. With the data covered in this report, Market of goods can be made efficient and economical which leads to elimination of all type of wase. Thus, Machine Tools Market report is a crucial model to have increments in business activities, qualitative work done, and enhanced profits.

Discover the latest trends, growth opportunities, and strategic insights in our comprehensive Machine Tools Market report. Download Full Report: https://www.databridgemarketresearch.com/reports/global-machine-tools-market

Machine Tools Market Overview

**Segments**

- By Type: The global machine tools market can be segmented by type into cutting machines, drilling machines, grinding machines, electrical discharge machines, and others. Cutting machines are expected to dominate the market due to the increasing demand for precision cutting in industries such as automotive, aerospace, and construction. - By Application: Based on application, the market can be categorized into automotive, aerospace, electronics, healthcare, and others. The automotive sector is anticipated to have a significant market share as machine tools are extensively used in manufacturing parts and components for vehicles. - By Region: Geographically, the market is divided into North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Asia-Pacific is expected to lead the market owing to the rapid industrialization and growing manufacturing sector in countries like China and India.

**Market Players**

- Trumpf - Amada Machine Tools Co., Ltd. - DMG Mori Co., Ltd. - Okuma Corporation - GF Machining Solutions Management SA - Haas Automation, Inc. - Hyundai WIA - Makino - JTEKT Corporation - Komatsu Ltd.

These key market players are focusing on innovation, technological advancements, strategic partnerships, and mergers and acquisitions to strengthen their market position and expand their product portfolio. The competitive landscape of the global machine tools market is highly fragmented with the presence of numerous players. The market is characterized by intense competition, rapid technological advancements, and changing consumer preferences.

The global machine tools market is witnessing significant growth propelled by the increasing demand for precision cutting, drilling, and grinding machines across various industries. The segmentation of the market by type into cutting machines, drilling machines, grinding machines, electrical discharge machines, and others reflects the diverse applications of machine tools in industrial settings. Cutting machines, in particular, are expected to dominate the market due to the need for precise cutting in sectors such as automotive, aerospace, and construction, where the quality of components is crucial for overall performance. This trend is driving innovation and technological advancements among market players to meet the evolving needs of customers.

When considering the segmentation of the market by application, industries such as automotive, aerospace, electronics, healthcare, and others stand out as key drivers of demand for machine tools. The automotive sector, in particular, is anticipated to hold a significant market share as machine tools play a critical role in the manufacturing of vehicle components and parts. As the automotive industry continues to evolve with advancements in electric vehicles and autonomous technologies, the demand for highly efficient and precise machine tools is expected to rise.

Geographically, Asia-Pacific is positioned as a leading region in the global machine tools market, driven by rapid industrialization and a growing manufacturing sector in countries like China and India. The region's robust industrial infrastructure, coupled with the increasing uptake of automation and CNC technologies, is fueling the demand for advanced machine tools. As key market players focus on expanding their presence in Asian markets through strategic partnerships and investments in research and development, the competitive landscape of the industry is intensifying.

Market players such as Trumpf, Amada Machine Tools Co., Ltd., DMG Mori Co., Ltd., and others are at the forefront of driving innovation and technological advancements in the machine tools market. These companies are leveraging their expertise in precision engineering and automation to develop cutting-edge solutions that cater to the evolving needs of industries like automotive, aerospace, and electronics. Strategic collaborations and mergers and acquisitions are also shaping the competitive dynamics of the market, as players seek to enhance their product portfolios and strengthen their market positions.

One of the significant trends shaping the machine tools market is the increasing demand for precision and efficiency in cutting, drilling, and grinding processes. This trend is driven by the requirements of industries like automotive, aerospace, and construction, where the quality of components directly impacts performance and safety standards. As a result, market players are focused on developing cutting-edge solutions that offer high precision, automation capabilities, and enhanced productivity to meet the stringent requirements of these industries. The emphasis on innovation and technological advancements is critical in enabling manufacturers to optimize production processes, reduce manufacturing costs, and improve overall product quality.

Furthermore, the market segmentation based on application highlights the diverse industries that rely on machine tools for their manufacturing processes. The automotive sector emerges as a key driver of market demand, given the crucial role of machine tools in producing vehicle parts and components. As the automotive industry experiences transformative changes with the rise of electric vehicles, autonomous technologies, and lightweight materials, the need for advanced machine tools continues to grow. This trend creates opportunities for market players to innovate and develop specialized solutions that cater to the specific needs of the automotive sector, reinforcing their competitive positioning in the market.

Geographically, Asia-Pacific stands out as a leading region in the global machine tools market, fueled by rapid industrialization and a thriving manufacturing sector in countries like China and India. The region's robust industrial infrastructure, coupled with investments in automation technologies, drives the adoption of advanced machine tools for increased efficiency and productivity. Market players are actively targeting the Asia-Pacific region to capitalize on the growing market opportunities and establish a strong presence in key industrial markets. This strategic focus on geographic expansion underscores the competitive dynamics of the market and the importance of catering to regional demands and preferences.

In conclusion, the global machine tools market continues to evolve, driven by technological innovation, changing industry requirements, and competitive strategies adopted by market players. The market's segmentation by type, application, and region provides valuable insights into the diverse dynamics shaping the industry landscape. As market players navigate these trends and challenges, the focus on innovation, collaboration, and customer-centric solutions will be instrumental in driving sustainable growth and differentiation in the competitive marketplace.

The Machine Tools Market is highly fragmented, featuring intense competition among both global and regional players striving for market share. To explore how global trends are shaping the future of the top 10 companies in the keyword market.

Learn More Now: https://www.databridgemarketresearch.com/reports/global-machine-tools-market/companies

DBMR Nucleus: Powering Insights, Strategy & Growth

DBMR Nucleus is a dynamic, AI-powered business intelligence platform designed to revolutionize the way organizations access and interpret market data. Developed by Data Bridge Market Research, Nucleus integrates cutting-edge analytics with intuitive dashboards to deliver real-time insights across industries. From tracking market trends and competitive landscapes to uncovering growth opportunities, the platform enables strategic decision-making backed by data-driven evidence. Whether you're a startup or an enterprise, DBMR Nucleus equips you with the tools to stay ahead of the curve and fuel long-term success.

Key questions answered in the report:

What will the market development pace of the Machine Tools Market?

What are the key factors driving the Global Machine Tools Market?

Who are the key manufacturers in the Machine Tools Marketspace?

What are the market openings, market hazard and market outline of the Machine Tools Market?

What are sales, revenue, and price analysis of top manufacturers of Machine Tools Market?

Who are the distributors, traders, and dealers of Machine Tools Market?

What are the Machine Tools Market opportunities and threats faced by the vendors in the Global Machine Tools Marketindustries?

What are deals, income, and value examination by types and utilizations of the Machine Tools Market?

What are deals, income, and value examination by areas of enterprises?

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About Data Bridge Market Research:

An absolute way to forecast what the future holds is to comprehend the trend today!

Data Bridge Market Research set forth itself as an unconventional and neoteric market research and consulting firm with an unparalleled level of resilience and integrated approaches. We are determined to unearth the best market opportunities and foster efficient information for your business to thrive in the market. Data Bridge endeavors to provide appropriate solutions to the complex business challenges and initiates an effortless decision-making process. Data Bridge is an aftermath of sheer wisdom and experience which was formulated and framed in the year 2015 in Pune.

Contact Us: Data Bridge Market Research US: +1 614 591 3140 UK: +44 845 154 9652 APAC : +653 1251 975 Email:- corporatesales@databridgemarketresearch.com

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Future of Banking and Finance Careers in Tech

Introduction: How Tech is Redefining Finance Careers

In the last decade, the finance industry has witnessed a digital revolution. Fintech, AI, and cloud technologies have opened up a whole new horizon of possibilities for the industry. Nowadays, finance jobs in tech are not just in demand—they're shaping the future of investment banking.

From data scientist positions in banking to AI-powered trading systems, technology is reshaping conventional job roles. In this article, we discuss the magnitude of new-age tech jobs, preparing for them, and why a solid foundation via a banking and finance course is needed for upcoming professionals.

Fintech Jobs: Revolutionising the Landscape

Fintech has blurred the lines between finance and technology. The emergence of startups and digital-first banks is driving the demand for tech-savvy professionals who understand both domains. 

These fintech careers span across payments, blockchain, lending platforms, wealth technology, and insurance technology.

Key areas include:

Front-end and back-end development for financial apps

API development and third-party integrations

Payment gateway infrastructure

Blockchain and smart contracts

Fintech experts must adapt rapidly to emerging regulatory landscapes and changing client needs, making these roles both challenging and thrilling. 

Data Science Jobs in Banking

Data is the new oil, and banks have enormous reservoirs of it. Data science jobs in banking are becoming even more crucial for data-driven decision-making, customer segmentation, fraud detection, and customised services. 

Hot jobs include:

Quantitative Analyst (Quant)

Credit Risk Model Developer

Data Engineer

Business Intelligence Analyst

They utilise Python, R, SQL, and tools such as Tableau and SAS to glean useful insights and inform product strategies.

Investment Banking IT Careers: Merging Tech and Strategy

Classical investment banking now has a dedicated department that handles IT infrastructure, security, cloud environments, and algorithmic trading. Investment banking IT careers are ideal for candidates who wish to combine their technical expertise with strategic financial processes.

These careers involve:

DevOps Engineers for trading platforms

IT Security Analysts safeguarding financial information

Cloud Architects storing real-time trading data

Algorithm Developers for high-frequency trading

These positions offer a dynamic environment that requires innovative thinking on a daily basis.

AI Job Roles in Finance: Advanced Applications

AI is no longer merely automation—it's creating intelligent systems that can learn, predict, and improve. AI job roles in finance span from chatbots and robo-advisors to sophisticated portfolio management tools.

In-demand jobs:

Machine Learning Engineer

AI Research Scientist

NLP Engineer (Natural Language Processing)

Fraud Detection Systems Analyst

FinTech AI improves decision-making, improves compliance, and reduces operational expenses. 

Cloud Engineer Banking Jobs: Real-Time Data Management

The shift to the cloud in banking expands the demand for cloud experts. Cloud engineer banking positions play a vital role in maintaining scalability, data security, and high availability for financial institutions.

Typical tasks:

Migrating on-premise infrastructure to cloud platforms

Designing cloud-compatible storage and computing architecture

Maintaining regulatory compliance in cloud deployments

Managing real-time data streams

These experts are often associated with technologies such as AWS, Azure, and Google Cloud.

Natural Integration: Reskilling for the Technology-Inclined Finance Industry

Surviving in this dynamic environment involves more than mastering technicalities—it demands financial literacy and a comprehensive understanding of regulatory models. People who want to enter technology-focused positions in investment banking must establish a strong foundation that integrates finance concepts with applied technology.

That is where formal learning comes in. Courses that provide both knowledge in the domain and actual application give the competitive edge one needs to succeed in these demanding positions.

The Role of a Banking and Finance Course in Career Growth

With technology upending the banking landscape, becoming armed with the appropriate skills is more crucial than ever. A course in banking and finance not only aids in learning the very basics of financial markets and banking operations, but also incorporates exposure to tech tools now a necessity in the sector.

Imarticus Learning's Banking and Finance Program is one such that blends financial literacy with live industry skills. From learning risk management and trade finance to experiential learning with digital tools and soft skills, the program is crafted for those who wish to join or reskill in this vibrant industry.

Next Steps: Building a Future-Ready Career

Looking to the future, it's apparent that finance professionals need to grow with the profession. As an up-and-coming analyst, developer, or manager, adopting technology is no longer a matter of choice—it's fundamental. The way forward is constant learning, hands-on practice, and maintaining a lead on trends.

Seeking out organized upskilling in a banking and finance course can be an excellent step towards bringing your career into harmony with future possibilities in this rapidly evolving field.

FAQs

1. What are the most sought-after tech careers in finance? 

They are AI engineers, data scientists, cloud architects, DevOps engineers, and fintech product developers.

2. Is the demand for data science positions in banking high? 

Yes, fraud detection, customer insights, and portfolio optimisation require data science.

3. How is AI transforming the investment banking industry? 

AI makes decisions automatically, improves compliance, and enhances trading precision.

4. What abilities are required for fintech careers? 

Programming technical skills, business finance acumen, and knowledge of regulatory environments.

5. Is a banking and finance course beneficial for tech jobs? 

Yes. It provides a solid grounding in financial concepts while incorporating live tech exposure.

6. What are investment banking IT jobs like? 

They are highly dynamic, innovation-led roles concentrating on cloud infrastructure, trading systems, and security.

7. Do I have to code for AI finance jobs? 

Yes, familiarity with Python, R, or similar languages is typically required.

8. What do I do if I want to pursue a career in fintech after graduation? 

Begin with internships, then skill up by taking a certified banking and finance course.

9. Are cloud engineering jobs increasing in banking? 

Yes, because of digital transformation and the need for scalable infrastructure.

10. What does the future of technology hold for finance? More automation, improved personalisation, real-time analytics, and greater calls for hybrid skill sets.

[business-market-insight]

North America Self-Service Kiosks Market Trends, Size, Segment and Growth by Forecast to 2030

Market Overview and Dynamics

The self-service kiosks market in North America is expected to grow from US$ 4,999.74 million in 2019 to US$ 8,568.29 million by 2027; it is estimated to grow at a CAGR of 7.2% from 2020 to 2027.  Businesses in various sectors are focusing on automating their operations—especially sales process—by installing smart kiosks, which demands a large amount of investments. The deployment of self-service kiosks also includes high processing costs, purchasing costs, and costs associated with the repair and maintenance of the facilities. Additionally, due to the COVID-19 outbreak, businesses are facing difficulties in managing and responding to varying demands of customers. Thus, the businesses are already witnessing a serious cash shortage. Hence, they are forced to adopt different solutions for contactless payment and laid off some of their workers. Therefore, has impacted and is projected to affect the businesses in the coming years, owing to the hindering unparalleled economic growth and recession. 📚Download Full PDF Sample Copy of Market Report @ https://www.businessmarketinsights.com/sample/TIPRE00021065

Key Market Segments

In terms of component, hardware segment accounted for the largest share of the North America self-service kiosks market in 2019. Based on type, information segment accounted for the largest share of the North America self-service kiosks market in 2019. Further, based on application, retail segment held a substantial share in the North America self-service kiosks market in 2019.

Major Sources and Companies Listed

A few major primary and secondary sources referred to for preparing this report on the self-service kiosks market in North America are company websites, annual reports, financial reports, national government documents, and statistical database, among others. Major companies listed in the report are Acrelec SAS; Diebold Nixdorf, Inc., Embross, Gemalto NV (part of Thales Group), KIOSK Information Systems, Inc., Meridian Kiosks, NCR Corporation, Olea Kiosks Inc.., Posiflex Technology, Inc. and VeriFone, Inc.

Reasons to buy report

To understand the North America self-service kiosks market landscape and identify market segments that are most likely to guarantee a strong return

Stay ahead of the race by comprehending the ever-changing competitive landscape for North America self-service kiosks market

Efficiently plan M&A and partnership deals in North America self-service kiosks market by identifying market segments with the most promising probable sales

Helps to take knowledgeable business decisions from perceptive and comprehensive analysis of market performance of various segment form North America self-service kiosks market

Obtain market revenue forecast for market by various segments from 2020-2027 in North America region.

Market Introduction

The self-service kiosk is a computer device specifically designed to leverage the user in performing specific tasks and services such as buying tickets, paying bills, bank transactions and many others. They are extensively being used across retail industry, healthcare, entertainment, transportation, BFSI, and government among others. It is deployed to enhance the user experience by offering several hassle-free services by paramounting the importance to the consumers comfort level. The key feature of the self-service kiosks is data security which is driving the demand of self-service kiosk market in North America. The self-service kiosks offer several benefits to service providers such as optimization of the overall cost of businesses by reducing the infrastructure set-up and labor cost. The self-service technologies permit the user to manage a various service independently, without the participation of any representatives. It offers a higher level of customer satisfaction by offering control over their purchase decisions. Thus, the major factors have led to the widespread adoption of self-service interactive kiosk in the urban areas. Also, growth in technological advancements providing aid in adoption of self-service kiosks in the coming years, which is further anticipated to drive the North America self-service kiosks market.

North America is hindered by the COVID-19 pandemic. Retail stores were affected severely in 2020 due to the outbreak. According to the real estate firm, CoStar Group, as many as 12,000 stores were temporarily shut in the US in 2020. J.C Penney and GameStop were among the key retail brands that closed their stores in 2020. Similar trend was visible in the hospitality industry. However, the healthcare industry has been resilient in these times of pandemic. Enterprises that were likely to implement kiosks system in 2020 had to either delay the implementation plan or scrap it completely, thereby positively impacting the demand for self-service kiosks. However, as the lockdown appears to be easing and operations are resuming, the demand for self-service kiosks is expected to pick pace in the coming years.  

North America Self-Service Kiosks Strategic Insights

Strategic insights for the North America Self-Service Kiosks provides data-driven analysis of the industry landscape, including current trends, key players, and regional nuances. These insights offer actionable recommendations, enabling readers to differentiate themselves from competitors by identifying untapped segments or developing unique value propositions. Leveraging data analytics, these insights help industry players anticipate the market shifts, whether investors, manufacturers, or other stakeholders. A future-oriented perspective is essential, helping stakeholders anticipate market shifts and position themselves for long-term success in this dynamic region. Ultimately, effective strategic insights empower readers to make informed decisions that drive profitability and achieve their business objectives within the market.

key company profiles   Acrelec SAS

  Diebold Nixdorf, Inc.

  Embross

  Gemalto NV (Part of Thales Group)

  KIOSK Information Systems, Inc.

  Meridian Kiosks

  NCR Corporation

  Olea Kiosks Inc

  Posiflex Technology, Inc.

  VeriFone, Inc. North America Self-Service Kiosks Regional Insights

The geographic scope of the North America Self-Service Kiosks refers to the specific areas in which a business operates and competes. Understanding local distinctions, such as diverse consumer preferences (e.g., demand for specific plug types or battery backup durations), varying economic conditions, and regulatory environments, is crucial for tailoring strategies to specific markets. Businesses can expand their reach by identifying underserved areas or adapting their offerings to meet local demands. A clear market focus allows for more effective resource allocation, targeted marketing campaigns, and better positioning against local competitors, ultimately driving growth in those targeted areas. About Us: Business Market Insights is a market research platform that provides subscription service for industry and company reports. Our research team has extensive professional expertise in domains such as Electronics & Semiconductor; Aerospace & Défense; Automotive & Transportation; Energy & Power; Healthcare; Manufacturing & Construction; Food & Beverages; Chemicals & Materials; and Technology, Media, & Telecommunications Author’s Bio Akshay Senior Market Research Expert at Business Market Insights

[slacourses]

Data Analyst Certifications in 2025: Which Ones Matter & How to Get Them, 100% Placement in MNC, Data Analyst Training Course in Delhi, 110058 - " Free Data Science Course" by SLA Consultants India,

In 2025, obtaining relevant certifications is one of the most effective ways for aspiring data analysts to stand out in a competitive job market. With businesses increasingly relying on data for decision-making, the demand for qualified data analysts continues to rise. To gain a competitive edge, professionals need to be proficient in key data analysis tools and techniques.

A comprehensive Data Analyst Course in Delhi, offered by SLA Consultants India, provides the foundational knowledge and skills necessary to earn certifications that are highly valued by employers. Some of the most sought-after certifications in 2025 include those in tools like SQL, Python, Tableau, and Power BI, as well as industry-recognized credentials such as the Microsoft Certified Data Analyst Associate and Certified Analytics Professional (CAP). These certifications demonstrate a candidate's proficiency in both the technical and analytical aspects of the data analysis field, which is essential for roles in business intelligence, financial analysis, and data-driven decision-making. SLA Consultants India’s course equips students with the skills required to excel in these certifications, making them job-ready and attractive to top MNCs.

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SLA Consultants India’s Data Analyst Training Course in Delhi also prepares students for more specialized certifications, such as Google Data Analytics Professional Certificate and SAS Certified Data Scientist. These certifications focus on advanced data science techniques and big data analytics, expanding career opportunities for data analysts who want to move into higher-level roles. By including a free Data Science module, SLA Consultants India helps students understand these advanced topics and prepares them to pursue further certifications in the evolving data science field, providing greater career advancement potential.

One of the key benefits of studying Data Analyst Certification Course in Delhi at SLA Consultants India is the 100% job placement assistance, which supports students in securing positions at top MNCs. The course not only teaches technical skills but also includes career services such as resume building, interview preparation, and job referrals. This practical support ensures that graduates are fully prepared to earn industry-recognized certifications and step confidently into their careers as data analysts. With certifications in hand and a strong portfolio of practical experience, students of SLA Consultants India are well-positioned for success in 2025 and beyond. For the more details Call: +91-8700575874 or Email: hr@slaconsultantsindia.com

[greatonlinetrainingsposts]

How Clinical SAS Training Prepares You for the Real Demands of the Pharmaceutical Industry

In today's data-driven healthcare ecosystem, pharmaceutical companies are constantly under pressure to deliver safe and effective drugs at record speed. Behind every approved medication lies an ocean of clinical trial data—data that needs to be cleaned, analyzed, and reported with precision. That’s where clinical SAS professionals come in.

If you're exploring the world of clinical research, clinical sas training can be the foundation of a career that is both stable and impactful. But the real question is: what exactly does this training offer, and how does it prepare you for real-life challenges in the pharmaceutical industry?

Let’s explore how clinical SAS training shapes job-ready professionals who are equipped to contribute meaningfully from day one.

Understanding the Role of SAS in Pharma

SAS (Statistical Analysis System) is more than just another data tool—it’s the gold standard in the clinical research industry. Pharmaceutical and biotech companies use SAS software to manage, analyze, and report clinical trial data. The FDA and other regulatory agencies often require data submissions in SAS formats, especially in CDISC-compliant datasets like SDTM (Study Data Tabulation Model) and ADaM (Analysis Data Model).

This means that when you're trained in clinical SAS, you're learning the exact tools and practices that are used on the job.

What Clinical SAS Training Actually Covers

Let’s be honest—this isn’t your average programming course. A proper clinical SAS training program doesn’t just teach you how to write code; it teaches you how to think like a clinical data analyst.

You’ll learn:

Basics of Base and Advanced SAS

Importing and cleaning raw clinical data

CDISC standards: SDTM and ADaM

Clinical data mapping

Writing logic for tables, listings, and figures (TLFs)

Validating programs and outputs for regulatory submission

Each topic connects directly with day-to-day tasks in a clinical project, which helps you apply what you learn quickly in real work environments.

Real-World Application: What You’ll Actually Do at Work

After completing sas clinical training, many students go on to work in roles like Clinical SAS Programmer or Clinical Data Analyst. Here’s what that work typically looks like:

Managing clinical trial data: Before analysis begins, someone must ensure that the data is clean, consistent, and organized. That someone is usually you.

Creating standard datasets: Using SDTM and ADaM principles, you’ll transform raw clinical data into structured datasets ready for regulatory review.

Generating regulatory outputs: Clinical studies require detailed tables and summaries for patients, safety, and efficacy. SAS is used to automate and validate these outputs.

Collaborating with statisticians and medical writers: SAS programmers work closely with cross-functional teams to ensure every number and report is accurate.

Why Clinical SAS Training Matters More Today

With the rapid expansion of clinical trials globally, pharmaceutical companies are managing more data than ever before. At the same time, regulatory scrutiny has increased. Every dataset and report must meet strict standards to avoid delays in drug approval.

This has increased demand for skilled professionals who understand both programming and the clinical domain. When you go through solid clinical SAS training, you stand out as someone who’s ready to hit the ground running.

Top Benefits of Clinical SAS Training

Job-oriented: Most training programs are built with direct industry input, making them practical and relevant.

High employability: There’s a strong demand for SAS-trained professionals in pharma, CROs, and clinical trial units.

Attractive salaries: Even entry-level roles offer competitive packages, with clear growth paths.

Global opportunities: SAS is used worldwide, which means your skills are portable.

How to Choose the Right Training Program

Not all training is equal. Here’s what to look for:

Hands-on projects: You learn best by doing.

CDISC modules: Must-have if you’re serious about clinical SAS roles.

Resume and interview support: Soft skills matter too.

Job referrals or placement support: Many reputed institutes help you land interviews.

Final Thoughts

The pharmaceutical industry needs more than just data analysts—it needs specialists who understand how to handle sensitive medical data in a regulatory-compliant way. That’s what clinical SAS training delivers. It builds both technical knowledge and domain expertise, ensuring that you're not just job-ready—you’re industry-ready.

If you're looking for a career that combines technical skill with purpose, this could be the perfect path for you.

[nerdycreationdetective]

North America Predictive Analytics Market Growth, Analysis, Share, Trends, Segmentation and Forecast to 2028

The predictive analytics market in North America is expected to grow from US$ 4,943.46 million in 2022 to US$ 15,219.34 million by 2028. It is estimated to grow at a CAGR of 20.6% from 2022 to 2028.

Rise in Adoption of Big Data Technologies

 Big Data is a technology-driven movement. Its strategic importance requires careful consideration when it comes to adoption. While the 3 Vs, i.e., volume, velocity, and variety, are frequently used to define Big Data, the use of big data-enabled technologies is not limited to how the 3 Vs are defined. Their use has a much broader scope when properly analyzed from an organizational perspective.

📚 𝐃𝐨𝐰𝐧𝐥𝐨𝐚𝐝 𝐒𝐚𝐦𝐩𝐥𝐞 𝐏𝐃𝐅 𝐂𝐨𝐩𝐲@ https://www.businessmarketinsights.com/sample/BMIRE00027139

Using big data effectively requires changing mindsets about how it is used. While other technologies help solve problems, such as streamlining the inventory management processes or providing online systems to track order shipments in real-time, big data helps find issues that need special attention. A key factor in the success of any new program is how it is approached since its inception phase. Any big data program that requires data integration into strategic planning will be critical and will be heavily penalized in case of failure. The appropriate framework to implement predictive analytics within the organization must be adopted. Data flow, governance, and data need to be further integrated into big data platforms to find a more comprehensive solution to manage compliance tasks and upgrade existing legacy systems to newer and faster software-based services. For instance, Hexanika is a FinTech Big Data software company that has developed an end-to-end solution for financial institutions to address regulatory compliance reporting and data sourcing. Hexanika’s innovative solutions improve data quality, keep regulatory reporting in line with the dynamic regulatory requirements, and keep pace with the new developments and latest regulatory updates. This is leading to the high growth of the predictive analytics market.

📚𝐅𝐮𝐥𝐥 𝐑𝐞𝐩𝐨𝐫𝐭 𝐋𝐢𝐧𝐤 @ https://www.businessmarketinsights.com/reports/north-america-predictive-analytics-market

𝐓𝐡𝐞 𝐋𝐢𝐬𝐭 𝐨𝐟 𝐂𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬

IBM Corporation

Microsoft Corporation

Oracle Corporation

SAP SE

Google LLC

SAS Institute Inc.

Amazon Web Services

Hewlett Packard Enterprise

Development LP (HPE)

Key Trends

Several key trends are shaping the future of the predictive analytics market:

AI-Powered Predictive Analytics: The integration of AI and ML is becoming increasingly prevalent, enabling more sophisticated and automated predictive modeling.

Real-Time Predictive Analytics: The ability to analyze data and generate predictions in real-time is becoming critical for applications like fraud detection and customer personalization.

Explainable AI (XAI): As predictive models become more complex, there is a growing need for transparency and explainability, allowing users to understand how the models arrive at their predictions.

Edge Computing: Processing data closer to the source, at the edge of the network, enables faster and more efficient predictive analytics for IoT applications.

Augmented Analytics: This trend blends AI and machine learning into business intelligence platforms, automating data preparation, analysis, and insight generation.

Democratization of Predictive Analytics: User-friendly platforms and tools are making predictive analytics more accessible to a wider range of users, including business analysts and non-technical professionals.

Emphasis on Data Governance and Security: As organizations collect and analyze more data, ensuring data privacy and security is becoming increasingly important.

Increased Industry Specific Solutions: More solutions are being tailored to the needs of specific industries, recognizing that different industries have different needs.

𝐀𝐛𝐨𝐮𝐭 𝐔𝐬: Business Market Insights is a market research platform that provides subscription service for industry and company reports. Our research team has extensive professional expertise in domains such as Electronics & Semiconductor; Aerospace & Defense; Automotive & Transportation; Energy & Power; Healthcare; Manufacturing & Construction; Food & Beverages; Chemicals & Materials; and Technology, Media, & Telecommunications

𝐀𝐮𝐭𝐡𝐨𝐫’𝐬 𝐁𝐢𝐨: 𝐀𝐤𝐚𝐬𝐡𝐚 𝐆𝐡𝐚𝐫𝐠𝐞 𝐒𝐞𝐧𝐢𝐨𝐫 𝐌𝐚𝐫𝐤𝐞𝐭 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐄𝐱𝐩𝐞𝐫𝐭

[navitsap]

Optimizing the Inbound Process Flow with SAP TM and SAP BN4L

Efficient supply chain management is a key factor in the success of any business. In today's globalized economy, it’s not enough to simply ensure timely deliveries. The processes behind managing inbound logistics — from coordinating suppliers to handling goods receipt — must be optimized for cost efficiency, speed, and accuracy. This is where SAP Transportation Management (TM) and SAP Business Network for Logistics (BN4L) come into play. Together, these solutions provide businesses with the tools to streamline their inbound logistics processes and gain greater control over their supply chains.

In this blog, we’ll walk you through the inbound process flow with SAP TM and SAP BN4L, explaining their roles, benefits, and how they work together to optimize your inbound logistics.

1. What are SAP TM and SAP BN4L?

To understand the inbound process flow, it's important to know the key systems involved:

SAP Transportation Management (TM): This software solution focuses on optimizing and automating transportation planning, execution, and monitoring. It helps businesses reduce transportation costs, improve delivery performance, and enhance overall efficiency.

SAP Business Network for Logistics (BN4L): A collaborative platform that connects businesses with their logistics partners. BN4L ensures better visibility and communication across the supply chain, allowing for real-time updates on shipments and enhancing collaboration with suppliers, transporters, and other stakeholders.

These two solutions work hand-in-hand, allowing businesses to seamlessly manage the entire inbound process from supplier coordination to goods receipt and payment processing.

2. The Importance of Inbound Logistics

Inbound logistics refers to the management of goods that come into a company. This includes the coordination of shipments from suppliers, the transportation of goods to warehouses, and the management of inventory once the goods have been received. The efficiency of inbound logistics directly impacts a company’s overall supply chain performance.

With SAP TM and SAP BN4L, businesses can optimize this process by automating key tasks, improving communication with suppliers, and gaining better visibility into transportation performance.

3. Breaking Down the Inbound Process Flow with SAP TM and SAP BN4L

The inbound process flow can be broken down into several stages. Here’s how SAP TM and SAP BN4L contribute to each:

3.1 Supplier Order Management

The process begins when the supplier places an order for the products. With SAP BN4L, suppliers and companies can share order data in real time. This shared platform improves the accuracy of information and minimizes the risk of miscommunication.

3.2 Transportation Planning

Once the order is confirmed, SAP TM steps in to plan the transportation. Businesses can choose the most cost-effective routes and reliable carriers based on delivery timelines and geographical constraints. With this level of automation, SAP TM helps businesses avoid manual errors and delays, ensuring a smoother shipping process.

3.3 Shipment Execution

After transportation planning is completed, the next phase is shipment execution. This involves dispatching the goods and ensuring that they are shipped according to the pre-defined plan. SAP TM helps track the entire shipment process, from dispatch to arrival, offering real-time status updates along the way.

SAP BN4L enhances this phase by providing further transparency and real-time information on shipment progress, allowing businesses to track shipments and resolve issues promptly.

3.4 Goods Receipt and Warehouse Management

When goods arrive at the warehouse, SAP TM integrates with SAP Warehouse Management (WM) to update the company’s inventory in real time. This integration ensures that inventory records are always accurate, and that warehouses are prepared for the incoming goods.

The warehouse team can receive and scan the goods, with SAP BN4L ensuring real-time updates, eliminating the risk of errors, and keeping the inventory process seamless.

3.5 Invoice and Payment Processing

Once the goods are received, invoicing and payment processing can begin. SAP TM works with financial systems to facilitate accurate invoicing. In some cases, SAP BN4L can also automate payment transactions, ensuring quicker settlements and reducing the chances of errors or payment delays.

4. How SAP TM and SAP BN4L Work Together

SAP TM and SAP BN4L complement each other by combining powerful transportation management capabilities with collaborative logistics management. Here’s a closer look at how these two solutions integrate:

SAP TM handles internal logistics operations, including route optimization, carrier selection, and transportation monitoring.

SAP BN4L provides the external, collaborative aspect of the process. It connects businesses with their logistics service providers, offering a shared platform for communication, status tracking, and real-time updates on shipments.

Together, these systems allow for a fully optimized inbound logistics flow, providing visibility, reducing inefficiencies, and fostering better collaboration among all parties involved.

5. Key Benefits of SAP TM and SAP BN4L for Inbound Logistics

By using SAP TM and SAP BN4L, businesses can unlock numerous benefits:

5.1 Cost Savings

Both solutions help reduce costs. SAP TM enables businesses to select the most cost-efficient transportation routes and carriers, while SAP BN4L fosters smoother collaboration between businesses and suppliers, reducing delays and avoiding costly mistakes.

5.2 Real-Time Visibility

With SAP TM and SAP BN4L, businesses gain end-to-end visibility over the inbound logistics process. This allows companies to monitor shipments in real time, track any delays, and make adjustments as needed.

5.3 Improved Supplier Relationships

Using SAP BN4L to facilitate collaboration improves communication and strengthens relationships with suppliers. By sharing real-time data, businesses and suppliers can work together more effectively, minimizing delays and misunderstandings.

5.4 Streamlined Warehouse Operations

The integration of SAP TM and SAP BN4L with SAP Warehouse Management (WM) helps streamline warehouse operations. With accurate, up-to-date inventory data, businesses can ensure that goods are received and stored properly, minimizing the chances of stock discrepancies.

6. Challenges in Inbound Logistics and How SAP TM and SAP BN4L Help Address Them

Even with the best systems in place, there are challenges businesses face in managing inbound logistics. Here’s how SAP solutions help address them:

6.1 Complex Supplier Networks

For companies with suppliers across different regions, managing the flow of goods can be complicated. SAP BN4L simplifies this by providing a single collaborative platform for all logistics partners, making it easier to track shipments and manage relationships.

6.2 Lack of Visibility and Communication

Without visibility into shipment progress, businesses may encounter delays or inefficiencies. SAP TM and SAP BN4L provide real-time visibility into the status of shipments, ensuring that businesses are always up to date.

6.3 High Costs and Inefficiency

Transportation costs can be a major concern for businesses. SAP TM helps optimize route planning and carrier selection, while SAP BN4L promotes better collaboration between all parties, ultimately reducing inefficiencies and lowering costs.

7. Conclusion

Optimizing the inbound process flow is essential for businesses looking to enhance their supply chain efficiency. With SAP TM and SAP BN4L, organizations can improve their inbound logistics by automating key processes, improving communication with suppliers, and gaining real-time visibility over their shipments. By leveraging these systems, businesses can reduce costs, improve delivery performance, and enhance overall supply chain management.

In a world where supply chains are increasingly complex, utilizing integrated solutions like SAP TM and SAP BN4L can provide businesses with a competitive advantage, ensuring that their inbound logistics operations run smoothly and efficiently.

[gimbook-blogs]

How AI & Automation Are Revolutionizing Online GST Billing Software

In today's digital era, businesses are rapidly adopting technology to simplify their operations. One such game-changing advancement is the integration of Artificial Intelligence (AI) and Automation in GST Billing Software. This technology is transforming how businesses manage their tax calculations, invoicing, and compliance.

If you are a business owner or accountant, understanding how AI in GST billing software can improve efficiency and accuracy is essential. In this blog, we will explore how Online GST Billing Software powered by AI is reshaping the future of taxation.

The Role of AI in GST Billing Software

Artificial Intelligence (AI) helps businesses automate repetitive tasks, reducing manual effort and errors. Here’s how GST software with AI is improving the billing process:

Real-Time Tax Computation: Traditional billing software requires manual input for tax calculations. With AI, tax rates are automatically applied based on business type, location, and category of goods/services. This ensures real-time tax computation, minimizing errors and saving time.

Automated Invoice Generation: AI can automatically generate GST-compliant invoices based on past transaction history. E-invoicing automation ensures that invoices follow GST rules, reducing compliance risks.

GST Compliance Automation: Keeping up with frequent GST updates can be difficult. AI-powered GST compliance automation ensures that your business follows the latest tax regulations. It alerts you to any compliance issues before they become major problems.

Fraud Detection & Error Prevention: AI can detect unusual billing patterns that might indicate tax fraud or data entry errors. Businesses can use AI-powered analytics to identify mistakes in invoices and fix them before submission.

Why Online GST Billing Software Is the Future

With the rise of cloud technology, businesses are moving from traditional desktop-based software to cloud-based GST software. Let’s look at why this shift is happening:

Accessibility Anytime, Anywhere: Unlike GST Billing Software for PC, which requires installation on a single device, Online GST Billing Software allows users to access data from any device with an internet connection.

Data Security & Backup: Cloud storage ensures that your data is safe and backed up regularly. Even if a system crashes, your invoices and tax records remain secure.

Seamless Integration with Other Tools: Online GST billing software can integrate with accounting software, payment gateways, and ERP systems, ensuring a smooth workflow.

How AI is Transforming GST Billing Software for Businesses

Businesses, whether small or large, benefit greatly from AI-powered GST billing software for businesses. Here’s how:

Faster Return Filing: AI-driven software can automatically prepare tax returns, making it easy for businesses to file GST on time.

Predictive Analytics: AI can analyze past transactions and suggest ways to optimize tax savings. Businesses can use predictive analytics to forecast future tax liabilities.

Reduced Operational Costs: Automation reduces the need for additional manpower, saving businesses money in the long run.

The Future of AI in Billing Software

The Future of AI in billing software is exciting. Here are some trends we can expect:

AI-powered Chatbots: Businesses will be able to interact with AI assistants to generate invoices, answer GST-related queries, and resolve compliance issues instantly.

Voice-Based Commands: Users will soon be able to generate invoices using voice commands.

Blockchain Integration: Secure and tamper-proof transactions will be possible with AI and blockchain working together.

Data & Statistics on AI Adoption in GST Billing

Here are some facts to highlight the impact of AI in GST billing:

According to a report by PwC, AI-powered accounting software can reduce tax compliance costs by 30-50%.

A survey by Deloitte found that 82% of businesses using AI in taxation saw a significant reduction in tax-related errors.

India's GST Network (GSTN) has been working on AI-driven analytics to identify fraud cases, saving thousands of crores in tax evasion.

GimBook: Your AI-Powered GST Billing Solution

GimBook is a cutting-edge GST Billing Software designed to simplify tax compliance with AI-driven automation. It offers real-time tax computation, e-invoicing automation, and cloud-based accessibility, making it the perfect choice for businesses of all sizes. With AI in GST billing software, GimBook ensures error-free invoicing, seamless GST compliance automation, and effortless tax filing. Whether you need a GST Billing Software for PC or an Online GST Billing Software, GimBook provides a user-friendly and efficient solution to manage your finances with ease.

Experience the future of billing—switch to GimBook today, https://gimbooks.com/

AI and automation are transforming the way businesses handle GST billing. With AI in GST billing software, companies can enjoy real-time tax computation, E-invoicing automation, and GST compliance automation.

As businesses continue to embrace Online GST billing software and cloud-based GST software, the future of AI in billing software looks promising. Now is the perfect time to switch to an AI-powered billing system and make your GST compliance smoother and error-free.

Are you ready to take your business to the next level with AI-driven GST billing software? Start today and experience the future of automated taxation!

[nanforiberica]

AZ-104: Microsoft Azure Administrator Certification – Your Gateway to Azure Expertise

The AZ-104: Microsoft Azure Administrator certification is one of the most sought-after credentials for IT professionals aiming to validate their skills in managing and monitoring Azure environments. Designed for individuals who manage cloud services spanning storage, networking, security, and compute capabilities within the Microsoft Azure platform, this certification sets a strong foundation for a successful career in cloud computing.

Who Should Pursue the AZ-104 Certification?

The AZ-104 certification is ideal for IT professionals who:

Have prior experience working with Azure and seek to formalize their expertise.

Are responsible for implementing, managing, and monitoring Azure resources in an organization.

Aspire to advance their careers in roles such as Azure Administrator, Cloud Engineer, or Systems Administrator.

While prior knowledge of Azure is beneficial, candidates should also be familiar with basic networking, security, and system management concepts before attempting the certification.

Skills Measured in the AZ-104 Exam

The AZ-104 exam evaluates a wide range of skills critical for Azure administrators. These include:

Managing Azure Identities and Governance

Configuring Azure Active Directory (Azure AD).

Managing role-based access control (RBAC) and user accounts.

Implementing identity protection and governance strategies.

Implementing and Managing Storage

Configuring Azure storage accounts and managing data access.

Implementing shared access signatures (SAS) for secure data sharing.

Monitoring and troubleshooting storage issues.

Deploying and Managing Azure Compute Resources

Managing virtual machines, containers, and app services.

Configuring virtual machine scalability and backups.

Automating resource deployment using templates.

Configuring and Managing Virtual Networks

Setting up virtual networks and securing them using Network Security Groups (NSGs).

Managing DNS settings, VPN connections, and load balancers.

Monitoring and Maintaining Azure Resources

Utilizing Azure Monitor for resource performance and health checks.

Setting up alerts and analyzing logs using Azure Log Analytics.

Optimizing resources for cost and performance efficiency.

How to Prepare for the AZ-104 Exam

Microsoft Learning Resources Microsoft offers free learning paths and modules on its website, designed specifically for AZ-104 preparation. These modules provide hands-on labs and real-world scenarios to deepen your understanding.

Third-Party Courses and Practice Tests Platforms like Udemy, Pluralsight, and Whizlabs offer comprehensive training courses, practice tests, and study guides tailored for AZ-104 aspirants.

Hands-On Experience Practical experience with Azure is crucial. Use the Azure free tier to create, manage, and monitor various resources to familiarize yourself with the platform.

Exam Details and Certification Benefits

Exam Code: AZ-104

Duration: 120 minutes

Format: Multiple-choice, drag-and-drop, and scenario-based questions.

Cost: $165 (subject to location-based pricing).

Passing Score: 700/1000

Achieving the AZ-104 certification demonstrates your ability to manage Azure resources effectively, making you a valuable asset to any organization leveraging Microsoft Azure.

Conclusion

The AZ-104: Microsoft Azure Administrator certification is a stepping stone for IT professionals aiming to master Azure administration. With its practical emphasis and comprehensive skill coverage, this certification not only boosts your credibility but also opens doors to advanced certifications like the AZ-305 (Azure Solutions Architect). By preparing diligently and gaining hands-on experience, you can confidently pass the AZ-104 exam and propel your career in the ever-evolving field of cloud computing.

For more info visit here:- MD-102: Microsoft 365 Endpoint Administrator

[slacourses]

What are the Updated and #1 Institute for Jobs available Business Analyst? Updated and #1 Institute for Business Analyst Course in Delhi, 110031. by SLA Consultants India

The role of a Business Analyst (BA) has become increasingly vital in today's data-driven business environment. BAs bridge the gap between IT and business operations, ensuring that organizational processes align with strategic goals. In Delhi, particularly in the 110031 area, there is a growing demand for skilled Business Analysts across various industries. This surge in demand has led to numerous job openings in the region. For instance, platforms like Naukri.com list over 4,400 Business Analyst positions in the Delhi NCR area, with significant opportunities in Gurgaon and Noida.

Naukri Similarly, Indeed.com features multiple BA vacancies in Delhi, including roles such as Senior Business Analyst at Rightsline and Business Analyst at Net Creative Mind. These listings indicate a robust job market for Business Analysts in the region.

To capitalize on these opportunities, acquiring the right skills and certifications is crucial. SLA Consultants India, offers a comprehensive Business Analyst Course in Delhi tailored to meet industry requirements. This program encompasses essential aspects of business analysis, including advanced Excel reporting, VBA/Macros, SAS, data analysis, and digital marketing. The curriculum is designed to provide practical knowledge and hands-on experience, ensuring that participants are well-prepared for real-world challenges.

Moreover, SLA Consultants India emphasizes 100% job placement assistance, reflecting their commitment to student success.

The Business Analyst Training Course in Delhi methodology at SLA Consultants India is both modern and industry-focused. They offer instructor-led classroom sessions, presentations, demonstrations, and practical exercises to ensure a holistic learning experience. Participants also benefit from assignments and real-time exposure to client projects, which enhances their problem-solving and analytical skills. This approach ensures that learners are not only theoretically proficient but also capable of applying their knowledge in practical scenarios.

In conclusion, Business Analyst Certification Course in Delhi, especially in the 110031 area, is on the rise, offering numerous job opportunities. To effectively tap into this market, obtaining relevant skills and certifications is essential. SLA Consultants India's Business Analyst Course provides a comprehensive pathway for aspiring professionals to acquire the necessary competencies and secure promising positions in the field.

Business Analyst Training Course Modules Module 1 - Basic and Advanced Excel With Dashboard and Excel Analytics Module 2 - VBA / Macros - Automation Reporting, User Form and Dashboard Module 3 - SQL and MS Access - Data Manipulation, Queries, Scripts and Server Connection - MIS and Data Analytics Module 4 - Tableau | MS Power BI ▷ BI & Data Visualization Module 5 - Python | R Programing ▷ BI & Data Visualization Module 6 - Python Data Science and Machine Learning - 100% Free in Offer - by IIT/NIT Alumni Trainer

Contact Us:

SLA Consultants India

82-83, 3rd Floor, Vijay Block,

Above Titan Eye Shop,

Metro Pillar No. 52,

Laxmi Nagar,New Delhi,110092

Call +91- 8700575874

E-Mail: hr@slaconsultantsindia.com

Website: https://www.slaconsultantsindia.com/

[greatonlinetrainingsposts]

Master SAS Programming in 2025: A Complete Guide for Beginners in India

In today’s fast-growing data-driven world, SAS programming has become one of the most in-demand skills across industries like healthcare, finance, retail, and clinical research. Whether you're a student, IT professional, or someone planning a career switch, learning SAS Programming can open up many career opportunities in India and globally.

In this blog, you’ll learn what SAS Programming is, why it’s important, and how you can learn it step-by-step in an easy and effective way.

What is SAS Programming?

India has become a hub for data analytics, clinical trials, and pharmaceutical outsourcing. Many Indian companies and MNCs rely on SAS for its reliability, accuracy, and regulatory compliance, especially in the clinical research and banking sectors.

Moreover, Clinical SAS Programming jobs are in high demand in cities like Bangalore, Hyderabad, Pune, and Chennai, where top pharma and CROs are based. Having skills in SAS makes you eligible for job roles such as:

SAS Programmer

Clinical SAS Analyst

Data Manager

Statistical Programmer

SAS Developer

SAS is also preferred for projects involving the U.S. FDA, as it aligns with global compliance standards.

How to Learn SAS Programming Easily in India?

For Indian learners, especially beginners, it's important to follow a structured and practical learning path. Here’s how you can get started:

Understand the Basics: Learn about the SAS environment, syntax, and how data steps and procedures work.

Practice Data Handling: Learn to import/export data, clean it, and prepare it for analysis.

Explore PROC Steps: Use built-in procedures for sorting, summarizing, and analyzing data.

Learn Macros & Functions: Automate tasks and simplify repetitive coding.

Work with Real Projects: Apply your knowledge using case studies or industry-related examples.

Choosing a course that is beginner-friendly and taught in simple English or regional languages can help you understand the concepts better.

Best SAS Programming Training Platform

If you’re looking for a platform that provides easy-to-understand, practical, and industry-focused SAS content, Great Online Training is a perfect choice. With detailed videos and full-length SAS Programming courses, it is tailored for Indian learners—whether you're preparing for SAS certification training, looking to switch to Clinical SAS Training, or starting from scratch.

You get access to:

Step-by-step SAS Programming lessons

Career guidance and real-world use cases

Concepts explained clearly without jargon

Focus on Indian job market needs and expectations

Thousands of learners have benefited from Great Online Training, making it one of the trusted sources for SAS learning.

Career Scope of SAS Programming

The scope of SAS Programming in India is vast. Domains like clinical research, healthcare analytics, finance, insurance, and government rely on SAS. In fact, SAS-certified professionals often get hired faster, especially by global companies that prioritize data security and compliance.

With the rise in data-focused careers and increasing adoption of SAS in regulated industries, the demand for skilled SAS programmers will continue to grow in the coming years.

Final Thoughts

Learning SAS Programming can truly transform your career, especially if you're in India and aiming for roles in analytics, pharma, or finance. The key is to start with the right course, build your foundation, and stay consistent.

If you're ready to begin, explore the SAS Programming Full Course offered by Great Online Training. It's designed to take you from beginner to expert with clarity and confidence.