#IBM Cognos Analytics

[yuyunkumaladewi]

Apa Itu IBM Cognos Analytics?

Sebagai software, IBM Cognos Analytics adalah salah satu tool terdepan yang digunakan untuk mendukung proses Business Intelligence (BI). Dalam ranah bisnis yang terus berkembang, pemahaman mendalam terhadap data dan analisis merupakan hal yang krusial bagi kesuksesan perusahaan. IBM Cognos Analytics hadir sebagai solusi yang tidak hanya mempermudah pengelolaan data, tetapi juga memberikan wawasan…

[apacnewsnetwork0]

BI Market Explodes as India Inc. Analyzes Deeper

APAC News Network analyzes the Indian BI analytics market is poised for an explosive growth as Indian enterprises increasingly look at data driven insights to grow their businesses.

Rajneesh De, Consulting Editor, APAC News Network

The big data analytics market in India, just like globally, is marching at a fast pace. Enterprises today value information as a critical business asset. Big Data analytics has therefore emerged as an essential competency for enterprises today. Enterprises in India are today continuously striving to respond in constantly shifting business situations. This has led to creation of a modern enterprise data ecosystem so that data is up-to-date and the enterprise is ready to make informed decisions.

Adapting to major ongoing trends in analytics will enable enterprises to better react and pre-act. Data and analytics have become the key ingredients for this breakthrough. The direct corollary to this has been the growth of the analytics and BI market in India. These enterprises are currently employing big data and analytics as an advantageous practice to gain a competitive edge over their industry competitors by putting the data to the right use.

In India, CIOs, CDOs, and data and analytics leaders are increasingly focusing on business outcomes, exploring algorithmic business, and most importantly building trust with the business and external partners. In particular, they are experimenting and adopting smart data discovery, augmented analytics, in-memory computing and data virtualization to stay ahead of the curve.

Read More : - https://apacnewsnetwork.com/2023/11/bi-market-explodes-as-india-inc-analyzes-deeper/

[govindhtech]

IBM Cognos Analytics helped Macmillan Publishers achieve

One of the “Big Five” English-language publishers and a worldwide publishing house is Macmillan Publishers. There’s a strong possibility that if you read books, one of them was published by Macmillan. The Nightingale by Kristin Hannah, Brown Bear, Brown Bear, What Do You See? by Bill Martin, and some more contemporary hits like The Silent Patient by Alex Michaelides, Identity by Nora Roberts, and Razorblade Tears by S. A. Cosby were among the numerous classics they published. The requirement for advanced business intelligence (BI) and data analytics at Macmillan is thus not surprising.

The publishing sector is using data analytics

Macmillan Publishers has a long history of investing in technology that can gather in-depth analytical information on sales, inventory, and transportation of its titles in the market due to their extensive worldwide business. The publisher has been managing its internal and external operational reporting requirements using IBM Cognos Analytics for more than ten years.

This includes their departments for finance, sales, supply chain, inventory control, and manufacturing. Additionally, the team just discovered there was a chance to go beyond centralized operational reporting in order to support additional company development. Users are clamoring for faster access to reliable and accurate data and a method to do it without heavily relying on the Central Analytics Technology team’s hectic schedule.

The publishing sector makes extensive use of analytics and a wide range of metrics, from more specialized metrics like pricing and inventory status to more widely used metrics like shipments, orders, revenue, point-of-sale, and expenses. All organizational departments make use of this data, which is crucial to their business operations. Such information helps in making crucial price choices, a variety of other crucial commercial decisions, including judgments on how many books to print initially and in what format.

Data openness and visibility degraded as corporate processes became more complicated. Additionally, data wasn’t always housed in a manner that made it easy to generate the reports needed to make sensible business choices. This resulted in our users’ needing additional analytics. Additionally, as time went on, the consumers’ need for more and more analytics rose naturally, greatly outpacing our IT team’s capacity to handle it on their own.    

[cybersecurityict]

In-Store Analytics Market Size, Share, Analysis, Forecast, and Growth Trends to 2032: Driving Smarter Store Decisions

The In-Store Analytics Market Size was valued at USD 3.8 billion in 2023 and is expected to reach USD 25.9 billion by 2032, growing at a CAGR of 23.8% over the forecast period of 2024-2032.

In-Store Analytics Market is experiencing a dynamic transformation as retailers increasingly prioritize data-driven decision-making. With advancements in technologies such as AI, machine learning, and IoT, businesses are now empowered to gather, interpret, and act on in-store customer behavior like never before. These insights are fueling smarter merchandising, optimized store layouts, and enhanced shopper experiences.

In-Store Analytics Market continues to revolutionize physical retail by offering a deeper understanding of consumer interaction patterns. From tracking footfall and dwell time to identifying product engagement, the market is equipping retailers with the tools to bridge the gap between online and offline experiences while refining operations and boosting sales performance.

Get Sample Copy of This Report: https://www.snsinsider.com/sample-request/2622 

Market Keyplayers:

RetailNext Inc. (RetailNext Platform, ShopperTrak)

Microsoft Corporation (Azure Synapse Analytics, Power BI)

Oracle Corporation (Oracle Retail Analytics, Oracle BI)

SAP SE (SAP Analytics Cloud, SAP HANA)

IBM Corporation (IBM Cognos Analytics, Watson AI)

Happiest Minds Technologies (Smart Retail Solutions, Customer Analytics Services)

Capillary Technologies (InTouch CRM+, VisitorMetrix)

Scanalytics Inc. (Floor Sensor Systems, Foot Traffic Analytics)

Thinkin (Smart Shelf, Analytics Dashboard)

Stratacache (Walkbase Analytics, ActiVia Video Analytics)

Market Analysis

The global in-store analytics market is evolving rapidly, shaped by the need to improve customer experience and operational efficiency. Retailers are adopting in-store analytics to decode customer preferences and tailor experiences to meet rising expectations. Real-time insights from heat maps, customer journey tracking, and sales data are providing competitive advantages in an increasingly data-dependent environment. North America and Europe lead in adoption, while Asia-Pacific is emerging as a high-growth region due to rising digitization in retail sectors.

Market Trends

Integration of AI and machine learning to automate and enhance analytics

Surge in use of smart sensors and IoT devices in physical stores

Growing demand for real-time analytics for faster decision-making

Increasing importance of omnichannel strategies combining offline and digital data

Deployment of cloud-based analytics platforms for scalability and flexibility

Market Scope

The scope of the in-store analytics market is expanding as physical retailers shift toward data-first strategies to remain competitive.

Enhances customer retention through personalized engagement

Reduces operational inefficiencies via predictive insights

Offers measurable ROI by aligning marketing and merchandising strategies

Supports safer shopping environments through crowd and flow management

Boosts employee performance with behavior analytics

Market Forecast

The in-store analytics market is set to experience exponential momentum, fueled by innovations in data capture technologies and heightened consumer expectations. As retail undergoes a digital evolution, analytics tools will become integral to every touchpoint in the customer journey. Market players are expected to invest heavily in research and development, strategic partnerships, and global expansion to harness the full potential of in-store data. With physical and digital commerce merging, in-store analytics is not just a trend but a pivotal element shaping the future of retail.

Access Complete Report: https://www.snsinsider.com/reports/in-store-analytics-market-2622 

Conclusion

As brick-and-mortar stores embrace digital transformation, the in-store analytics market stands at the forefront of redefining retail success. It offers the intelligence that transforms customer behavior into actionable strategies. Businesses leveraging this capability will not only stay relevant but also thrive in an ever-evolving landscape. 

About Us:

SNS Insider is one of the leading market research and consulting agencies that dominates the market research industry globally. Our company's aim is to give clients the knowledge they require in order to function in changing circumstances. In order to give you current, accurate market data, consumer insights, and opinions so that you can make decisions with confidence, we employ a variety of techniques, including surveys, video talks, and focus groups around the world.

Contact Us:

Jagney Dave - Vice President of Client Engagement

Phone: +1-315 636 4242 (US) | +44- 20 3290 5010 (UK)

[ascendient-learning]

Lead with Intelligence: IBM Training That Powers the Future of Enterprise IT 

In an era dominated by emerging technologies, IBM continues to be the engine behind critical enterprise systems worldwide. From artificial intelligence to automation, cloud to cybersecurity, IBM’s platforms support business operations at every scale. However, as the complexity of technology increases, so does the need for skilled professionals who can manage, integrate, and innovate using IBM solutions. This is where IBM training becomes a strategic investment, not just for individuals but for entire organizations navigating digital transformation. 

Training That Covers Every IBM Domain 

IBM’s influence spans across industries and disciplines, and so does Ascendient’s training catalog. Data analytics professionals can dive into courses on Cognos, SPSS, and Planning Analytics. Those managing cloud infrastructures can gain deep expertise in IBM Cloud Pak solutions, including Cloud Pak for Data, Automation, Security, and Watson. 

Automation and integration specialists can train in Business Automation Workflow, Operational Decision Management, and App Connect, learning to streamline processes and increase productivity. For professionals focused on cybersecurity, Ascendient Learning offers in-depth instruction in QRadar, Guardium, and IBM Verify, covering everything from threat detection to access control. 

Infrastructure teams can sharpen their skills in IBM Power Systems, Spectrum Storage, and IBM Z. Software developers and engineering teams can benefit from tools like WebSphere, Rational DOORS, and Engineering Lifecycle Management. No matter your focus, Ascendient’s IBM training meets the demands of today’s enterprise IT environments. 

Real Credentials That Boost Career Value 

IBM certifications and digital badges are recognized around the world and serve as a strong validation of technical knowledge and job readiness. Ascendient Learning helps professionals prepare for and earn these credentials with targeted, exam-aligned training. Whether you are pursuing certifications in artificial intelligence, cloud architecture, security, or data science, each course is backed by IBM’s standards and led by instructors who understand both the technology and the exam landscape.    

Customized Enterprise Learning That Scales 

For organizations, IBM training is more than skill-building; it’s a strategic tool for achieving business outcomes. Ascendient Learning works closely with enterprise clients to assess current competencies, identify knowledge gaps, and build customized learning plans. Whether your team is deploying a new IBM platform or expanding existing capabilities, Ascendient Learning offers private team training, bootcamps, and modular courses tailored to your goals. Through the Customer Enrollment Portal, organizations can manage training activity, budgets, and performance data in one place.   

Ascendient Learning: Your Trusted IBM Training Partner 

Ascendient Learning stands at the forefront of IBM education, offering one of the most comprehensive portfolios of IBM-authorized training available in North America. As the Education Provider for TD SYNNEX and a recognized Global Training Provider of the Year, Ascendient Learning delivers award-winning instruction, certified courseware, and unmatched scheduling flexibility. 

With years of delivery experience, Ascendient offers training across the full spectrum of IBM technologies. Courses are led by IBM-certified instructors with real-world experience, ensuring that learners understand not just how IBM tools work, but how to apply them to solve real challenges. Whether you prefer in-person sessions, live virtual classrooms, or self-paced study, Ascendient Learning’s delivery options meet professionals where they are. 

Start Your IBM Journey with Ascendient 

IBM technologies remain essential to the backbone of global business, and mastering them opens the door to career growth, project leadership, and enterprise impact. Ascendient Learning is uniquely positioned to support that journey, combining certified instruction, flexible delivery, and deep IBM expertise in every course. 

Now is the time to upgrade your skills, validate your expertise, and shape the future of technology with confidence. Start your IBM training journey with Ascendient Learning, and move forward with clarity, credibility, and capability! 

For more information visit: https://www.ascendientlearning.com/it-training/ibm

[umarblog1]

Comparing Certification Options in a Data Analytics Course in Delhi

In today’s world, data is everywhere. From shopping websites to health apps and social media platforms, data is being collected every second. But collecting data is not enough — companies need professionals who can understand and analyze this data to make better decisions. That’s where Data Analytics comes in.

If you’re planning to build a career in data analytics, getting certified is a great first step. In Delhi, a growing hub for IT and data professionals, many institutes offer data analytics courses with certifications. But which certification should you choose? What are the options available? And what makes one better than the other?

In this article, we will explore and compare different certification options available in Data Analytics courses in Delhi, with a special focus on the offerings from Uncodemy. We’ll help you choose the right path for your career growth.

Why Certification in Data Analytics is Important

Before we dive into comparisons, let’s first understand why certification matters:

✅ Proof of Skills: A certificate proves that you have the knowledge and skills to work as a data analyst.

✅ Job Opportunities: Most companies look for certified professionals while hiring.

✅ Higher Salary: Certified professionals often get better salary packages.

✅ Confidence: Certification gives you confidence to apply your knowledge in real-world projects.

Popular Data Analytics Certifications in Delhi

There are many types of data analytics certifications. Let’s look at some of the most common ones that students and professionals go for in Delhi:

1. Uncodemy Data Analytics Certification

Uncodemy is one of the leading IT training institutes in Delhi. It offers a complete Data Analytics course that comes with a professional certification.

🔹 Key Features:

Live online and offline classes

Real-time projects and case studies

1-on-1 mentorship

Internship opportunities

100% placement assistance

Globally recognized certification

🔹 Topics Covered:

Excel for data analytics

SQL (Structured Query Language)

Python for data analysis

Data visualization with Power BI and Tableau

Machine learning basics

Data handling using Pandas and NumPy

🔹 Duration:

3 to 6 months (flexible timings available)

🔹 Certification:

You’ll receive a Data Analytics Certification from Uncodemy, which is recognized by many companies across India.

🔹 Who Should Choose This?

Beginners, college students, working professionals, and career switchers who want complete guidance and hands-on training.

2. Google Data Analytics Professional Certificate (Coursera)

Offered by Google on Coursera, this course is also popular among learners.

🔹 Key Features:

8 self-paced modules

Beginner-friendly

Google-recognized certificate

No prior experience needed

🔹 Duration:

Approx. 6 months (at 10 hours/week)

🔹 Topics Covered:

Data collection and cleaning

Data analysis

Data visualization using spreadsheets, SQL, R

🔹 Pros:

Taught by Google professionals

Affordable

🔹 Cons:

Fully online with no live mentoring

No personal feedback or placement support

3. Microsoft Certified: Data Analyst Associate (via Power BI)

This certification focuses on data analysis using Microsoft Power BI.

🔹 Key Features:

Focused on Power BI

Recognized globally

Requires passing one exam: PL-300

🔹 Pros:

Industry-focused

Good for BI-specific roles

🔹 Cons:

Only focuses on Power BI

Requires good self-study skills

No training included — you must prepare on your own or take a separate course

4. IBM Data Analyst Certificate (Coursera)

Offered by IBM on Coursera, this is another online certification.

🔹 Topics Covered:

Python, SQL, Excel

Data visualization with IBM Cognos

Data analysis using Pandas and NumPy

🔹 Duration:

6 months (at 4–6 hours/week)

🔹 Pros:

From IBM

Project-based learning

🔹 Cons:

No live support

No direct job placement assistance

Comparison Table: Top Certification Options

FeatureUncodemyGoogle CertificateMicrosoft Power BIIBM CertificateMode of TrainingLive (online/offline)Online (self-paced)Self-studyOnline (self-paced)Duration3–6 months6 monthsFlexible (exam-based)6 monthsHands-on Projects✅ Yes✅ Limited❌ No✅ YesPlacement Support✅ Yes❌ No❌ No❌ NoTools CoveredExcel, SQL, Python, Tableau, Power BISQL, R, ExcelPower BI onlyPython, SQL, CognosCertification AuthorityUncodemyGoogleMicrosoftIBMMentorship & Support✅ 1-on-1 Support❌ None❌ None❌ LimitedCostMedium (Affordable)LowMedium (Exam Fees)Low to MediumSuitable ForBeginners & professionalsBeginnersBI SpecialistsBeginners & intermediate

Why Choose Uncodemy?

While all the above certifications have their own benefits, Uncodemy’s Data Analytics Course stands out for a few big reasons:

✅ 1. Mentorship and Support

At Uncodemy, you’re not just buying a course — you’re getting a mentor. You can ask questions anytime, get career advice, and even receive help with interviews.

✅ 2. Placement Assistance

Uncodemy offers 100% placement support. They help you build a strong resume, prepare for interviews, and connect you with top companies.

✅ 3. Real Projects

You’ll work on real-time industry projects, which will help you build a portfolio that impresses employers.

✅ 4. Flexible Timings

Whether you’re a student or a working professional, Uncodemy offers flexible batch timings so you can learn at your convenience.

✅ 5. Affordable and Value for Money

Compared to other certification providers, Uncodemy offers a complete training package at an affordable price.

How to Choose the Right Certification?

Here are a few simple tips to choose the best certification for your needs:

🎯 Know Your Goal: Do you want a job quickly? Are you switching careers? Choose a course that gives hands-on experience and job support.

📅 Time Commitment: Check how much time you can give weekly. Live classes may need regular attendance.

📊 Tool Focus: Different courses focus on different tools. Choose one that covers Python, SQL, Excel, and Tableau/Power BI — the top tools for data analytics.

🧑‍🏫 Mentorship: Learning alone can be hard. Choose a course that gives you 1-on-1 guidance.

💼 Job Support: If you’re looking for a job, pick a course that offers placement help.

Final Thoughts

Data Analytics is a growing field with amazing career opportunities. A good certification can help you start your journey with confidence. In Delhi, you have many options to choose from — online certificates, global providers like Google or IBM, or personalized training with institutes like Uncodemy.

If you want live classes, mentorship, real projects, and job support all in one place, Uncodemy’s Data Analytics Certification is one of the best options in the city. Whether you're a student, a fresher, or someone looking to switch careers, Uncodemy can guide you every step of the way.

Ready to Get Started?

Visit Uncodemy’s official website to explore more about the Data Analytics course in delhi, view the syllabus, and book a free demo session today.

[differenttimemachinecrusade]

Self-Service Analytics Market Share Analysis 2032: Size, Scope, Growth Trends & Forecast

The Self-Service Analytics Market was valued at USD 4.5 billion in 2023 and is expected to reach USD 19.75 billion by 2032, growing at a CAGR of 17.90% over the forecast period 2024-2032.

The self-service analytics market is witnessing accelerated growth as organizations across industries embrace data-driven decision-making. As the volume of data continues to rise, enterprises are increasingly shifting towards tools that empower non-technical users to analyze and interpret data without the need for specialized IT intervention. Self-service analytics enables business users to access, visualize, and explore data insights independently, which enhances productivity, speeds up decision-making, and fosters a culture of data democratization within organizations.

Self-Service Analytics Market Size, Share, Scope, Analysis, Forecast, Growth, and Industry Report 2032 highlights the increasing demand for intuitive analytical platforms that integrate seamlessly with existing business applications. With businesses becoming more agile, there is a growing need for real-time analytics, customizable dashboards, and interactive reporting tools. Enterprises are investing in platforms that offer ease of use, scalability, and strong data governance features to ensure security and compliance. This shift is contributing to substantial market expansion and innovation within the analytics industry.

Get Sample Copy of This Report: https://www.snsinsider.com/sample-request/5511  

Market Keyplayers:

Tableau (Tableau Desktop, Tableau Server)

Microsoft (Power BI, Azure Synapse Analytics)

Qlik (Qlik Sense, QlikView)

Sisense (Sisense for Cloud Data Teams, Sisense for Cloud Analytics)

TIBCO Software (Spotfire, TIBCO Data Science)

SAP (SAP BusinessObjects, SAP Analytics Cloud)

Domo (Domo Business Cloud, Domo Analytics)

IBM (IBM Cognos Analytics, IBM Watson Analytics)

Google (Looker, Google Data Studio)

Oracle (Oracle Analytics Cloud, Oracle Business Intelligence)

Zoho (Zoho Analytics, Zoho Reports)

MicroStrategy (MicroStrategy Analytics, MicroStrategy Desktop)

Alteryx (Alteryx Designer, Alteryx Server)

Sisense (Sisense for Cloud Data Teams, Sisense for Cloud Analytics)

Qlik (Qlik Sense, Qlik DataMarket)

ThoughtSpot (ThoughtSpot Analytics, ThoughtSpot Search)

TARGIT (TARGIT Decision Suite, TARGIT Analytics)

GoodData (GoodData Platform, GoodData Insights)

Yellowfin (Yellowfin Analytics, Yellowfin Signals)

Birst (Birst Analytics, Birst Cloud)

Market Trends

Several key trends are shaping the current and future landscape of the self-service analytics market:

Rise of Embedded Analytics: Organizations are integrating analytics directly into business applications, allowing users to access insights without switching platforms. Embedded analytics enhances user experience and increases adoption across departments.

Growth of Cloud-Based Analytics Solutions: The move towards cloud computing has significantly boosted the adoption of self-service analytics tools. Cloud-based platforms offer scalability, cost-efficiency, and remote accessibility, which align with the needs of modern, distributed workforces.

Natural Language Processing (NLP): NLP capabilities are transforming self-service analytics by allowing users to interact with data using conversational queries. This trend is reducing the entry barrier for users with limited technical expertise.

Focus on Data Governance and Security: As more employees gain access to analytics tools, organizations are prioritizing robust governance frameworks to manage data access, ensure quality, and comply with regulations like GDPR and HIPAA.

AI and ML Integration: Advanced self-service platforms are incorporating machine learning algorithms to uncover hidden trends, perform predictive analytics, and automate data analysis—empowering users to make smarter, faster decisions.

Enquiry of This Report: https://www.snsinsider.com/enquiry/5511 

Market Segmentation:

By Software

Tableau

Sas

Logi Analytics

Qlik

Others

By Service

Business User

Consultants

Corporate IT Professionals

Others

By Enterprise Type

Large Size Enterprises

Small and Medium Sized Enterprises (SMEs)

By Industry Vertical

BFSI

Consumer Goods & Retail

Healthcare

IT and Telecom

Manufacturing & Automotive

Market Analysis

This growth is fueled by a surge in demand from sectors like retail, BFSI, healthcare, and manufacturing, where quick access to insights can drive operational efficiency and competitive advantage.

North America currently dominates the market due to early technology adoption, a mature IT infrastructure, and a high concentration of analytics providers. However, Asia-Pacific is expected to witness the fastest growth during the forecast period, driven by digital transformation initiatives, expanding internet penetration, and increasing investments in business intelligence solutions.

The market is highly competitive, with leading players such as Microsoft, Tableau (Salesforce), IBM, Qlik, and SAP constantly innovating to offer enhanced functionalities. Startups and niche players are also entering the market with specialized offerings tailored for small and medium-sized enterprises (SMEs), contributing to a diverse and dynamic vendor landscape.

Future Prospects

The future of self-service analytics is expected to be driven by a deeper integration of artificial intelligence, automation, and mobile-first technologies. As analytics becomes more embedded into everyday business operations, we can expect platforms to offer more real-time collaboration features, voice-enabled insights, and customizable solutions based on industry-specific requirements.

With increasing focus on upskilling and data literacy among employees, organizations are likely to invest in training programs and user-friendly platforms that support self-learning. The demand for industry-specific solutions tailored to roles and functions—such as marketing analytics, financial performance dashboards, and operational intelligence—will also rise.

In addition, interoperability between different data sources and tools will be a key focus area. Vendors that can offer seamless integration with enterprise ecosystems—including ERP, CRM, and HRMS platforms—will hold a competitive edge. The continued evolution of low-code/no-code platforms will also broaden the user base, allowing even non-technical users to build custom reports and dashboards.

Access Complete Report: https://www.snsinsider.com/reports/self-service-analytics-market-5511  

Conclusion

The self-service analytics market is evolving rapidly, unlocking opportunities for businesses to make faster, smarter, and more inclusive decisions. As organizations prioritize agility, transparency, and data democratization, self-service tools are becoming indispensable across all sectors. The convergence of AI, cloud computing, and user-centric design is setting the stage for the next wave of innovation in analytics.

With growing investment in analytics infrastructure and an increasing emphasis on data-driven culture, the market is poised for robust and sustained growth through 2032. Organizations that embrace self-service analytics will be better equipped to respond to changing market dynamics, innovate faster, and achieve measurable business outcomes in an increasingly competitive digital landscape.

About Us:

SNS Insider is one of the leading market research and consulting agencies that dominates the market research industry globally. Our company's aim is to give clients the knowledge they require in order to function in changing circumstances. In order to give you current, accurate market data, consumer insights, and opinions so that you can make decisions with confidence, we employ a variety of techniques, including surveys, video talks, and focus groups around the world.

Contact Us:

Jagney Dave - Vice President of Client Engagement

Phone: +1-315 636 4242 (US) | +44- 20 3290 5010 (UK)

[dataterrain-inc]

IBM Cognos vs Tableau: A Comprehensive Comparison for Enterprise Analytics

In today's data-driven business landscape, choosing the right enterprise analytics platform is crucial for organizational success. This comprehensive analysis compares two industry leaders, IBM Cognos and Tableau, examining their features, capabilities, and enterprise readiness.

Understanding Enterprise Analytics Foundations: [IBM Cognos vs Tableau Before discussing the specific comparison of IBM Cognos vs Tableau, it's essential to understand what makes an enterprise analytics platform truly effective. Enterprise data integration capabilities form the backbone of any analytics solution and determine its ability to handle complex data environments.

Technical Architecture and Performance Scalability and Infrastructure Design When evaluating IBM Cognos vs Tableau, comparing scalability architecture reveals distinct approaches. IBM Cognos employs a multi-tier architecture optimized for enterprise-scale deployments, while Tableau offers a flexible architecture that can scale horizontally.

Query Optimization and Performance Both platforms handle query optimization methods differently. IBM Cognos vs Tableau performance metrics show that Cognos excels in complex query handling through its advanced query optimization engine, while Tableau leverages its VizQL technology for rapid data visualization.

Data Modeling and Integration Framework Enterprise Data Integration The comparison between IBM Cognos and Tableau in data modeling frameworks reveals Cognos's robust enterprise modeling capabilities and Tableau's more intuitive approach. Third-party integration options vary significantly between the platforms.

Real-time Analytics Capabilities Real-time analytics performance is crucial for modern enterprises. The IBM Cognos vs Tableau analysis shows that both platforms offer real-time capabilities, but their approaches differ in implementation and resource utilization.

User Experience and Visualization Self-service Analytics The IBM Cognos vs Tableau evaluation demonstrates Tableau's strength in self-service analytics comparison. While Tableau offers intuitive data visualization capabilities, Cognos provides a more structured approach to self-service analytics.

Mobile and Cross-platform Features Mobile analytics features have become increasingly important. The IBM Cognos vs Tableau assessment shows that both platforms offer robust mobile solutions but take different approaches to cross-platform compatibility.

Enterprise Security and Governance Security Framework Analysis The security framework comparison reveals comprehensive security features on both platforms when comparing IBM Cognos and Tableau. However, the role-based access control implementation differs, with Cognos offering more granular controls.

Governance and Compliance The IBM Cognos vs Tableau evaluation demonstrates strong governance capabilities in both platforms. Cognos has more extensively developed metadata management and audit trail features.

Cost Considerations and Implementation Total Cost of Ownership A crucial aspect of the IBM Cognos vs Tableau comparison is understanding the total cost of ownership. Implementation timeline and resource requirements vary significantly between platforms.

Support and Training The IBM Cognos vs Tableau analysis compares different approaches to training requirements and support services. Both platforms offer extensive training resources but with varying methodologies.

Integration Ecosystem API and Extension Capabilities API extensibility features differ in the IBM Cognos vs Tableau comparison. Both platforms offer robust API ecosystems, but their approaches to custom development options vary.

Data Source Connectivity The IBM Cognos vs Tableau evaluation reveals different strategies for ETL tool compatibility and data source connectivity. Both platforms support a wide range of data sources.

Performance and Scalability Metrics Query and Dashboard Performance In the IBM Cognos vs Tableau comparison, query response and dashboard loading times vary based on deployment scenarios and data complexity.

Concurrent User Handling Both platforms handle concurrent user capacity differently, with varying approaches to cache management and server resource utilization.

Making the Strategic Choice: Key Takeaways for Enterprise Decision Makers The comprehensive IBM Cognos vs Tableau analysis reveals that both platforms offer robust solutions for enterprise analytics, with different strengths aligned to specific use cases. Organizations must carefully evaluate their particular needs against these capabilities.

Why Choose DataTerrain for Your Analytics Implementation DataTerrain brings extensive expertise in both IBM Cognos and Tableau implementations. Our certified consultants help organizations make informed decisions and ensure successful deployments through:

Deep technical expertise in both platforms Proven implementation methodology Comprehensive training and support services Custom solution development capabilities Ongoing maintenance and optimization services Contact DataTerrain today to discuss your enterprise analytics needs and discover how we can help you maximize your investment in either IBM Cognos or Tableau.

[datamyte2022]

Choosing the Right Reporting Tool for Your Business

For any business striving for success, gathering data and generating reports are critical for assessing performance, understanding customer behavior, and making well-informed decisions. With an abundance of reporting tools available, finding the right one for your organization can be challenging.

This guide aims to simplify the process by helping you identify the best data reporting tool to meet your company’s specific needs. We’ll explore popular software options, highlighting their features, benefits, and potential limitations.

What Are Reporting Tools?

A reporting tool is a software solution designed to help organizations collect, analyze, and present data in a clear and organized format. These tools enable businesses to create various types of reports—such as financial, operational, sales, and marketing reports—which can inform strategic decisions and track progress.

Key features of reporting tools often include:

Data visualization capabilities

Customizable report templates

Automated report generation

Integration with diverse data sources

By leveraging these tools, businesses can uncover insights, monitor trends, and track key performance indicators (KPIs), ultimately driving growth and operational efficiency.

Types of Reporting Tools

Different reporting tools serve distinct purposes. Below are some common types of tools to consider:

1. Business Intelligence (BI) Tools

BI tools help analyze and visualize complex datasets, supporting better decision-making. Popular examples include Tableau, Microsoft Power BI, and QlikView. Many BI tools offer advanced capabilities such as predictive analytics, data mining, and machine learning.

2. Dashboard Reporting Tools

These tools specialize in creating interactive dashboards that display real-time KPIs and metrics. Examples include Sisense, Domo, and Klipfolio. They provide a visual overview of data, making it easier to monitor performance at a glance.

3. Spreadsheet-Based Tools

Spreadsheet tools like Microsoft Excel and Google Sheets are widely used for their simplicity and flexibility. Users can create charts, perform calculations, and organize data within a familiar interface.

4. Ad Hoc Reporting Tools

Designed for quick, custom report creation, these tools often feature drag-and-drop interfaces and pre-built templates. Examples include Zoho Analytics and Birst. They are ideal for users without technical expertise who need tailored reports.

5. Financial Reporting Tools

These tools focus on generating financial reports, such as balance sheets, income statements, and cash flow analyses. Examples include Oracle Hyperion, SAP Financial Statement Insights, and IBM Cognos. They are crucial for tracking financial health and ensuring compliance.

6. CRM Reporting Tools

Integrated into Customer Relationship Management systems, these tools provide insights into customer data, sales performance, and marketing campaigns. Examples include Salesforce, HubSpot, and Microsoft Dynamics 365.

7. Open-Source Reporting Tools

Open-source tools are free to use and highly customizable, making them a good option for businesses with tight budgets. Examples include BIRT (Business Intelligence and Reporting Tools), JasperReports, and Pentaho.

Top 5 Reporting Tools of 2023

Here are five top-rated reporting tools to consider for your business:

1. Tableau

Tableau is a leading BI and data visualization tool known for its intuitive interface, extensive customization options, and strong community support. It’s suitable for organizations of all sizes looking to create interactive dashboards and reports.

2. Domo

Domo is a cloud-based BI platform offering real-time data visualization, collaboration tools, and mobile access. Its user-friendly design and pre-built connectors make it ideal for businesses seeking to streamline reporting processes.

3. Looker

Looker provides advanced analytics and reporting capabilities, with a focus on data governance and integration with popular data warehouses. Acquired by Google in 2019, Looker’s customizable data models make it a strong choice for businesses prioritizing data accuracy.

4. Microsoft Power BI

Power BI integrates seamlessly with Microsoft products like Office 365 and Azure. Its robust data analysis, visualization features, and competitive pricing make it appealing for organizations leveraging Microsoft’s ecosystem.

5. Sisense

Sisense is renowned for its ease of use and scalability. Its In-Chip™ technology enables faster data processing, while its capability to handle large datasets and embed analytics into other applications makes it an excellent choice for complex reporting needs.

[bestaccountingsoftwares]

Cognos:The Power of Business Intelligence in Accounting

The phrase "Cognos – Best Accounting Software" might be a bit misleading, as IBM Cognos is not specifically designed as an accounting software. Instead, Cognos is a suite of business intelligence (BI) and performance management tools that offer advanced analytics, reporting, and decision-making features. While it can support accounting functions, it is not a dedicated accounting software like QuickBooks, Xero, or Sage. 

However, many organizations use Cognos for financial reporting, forecasting, and budgeting due to its analytics and data integration capabilities. Cognos can connect with various accounting and ERP systems to help streamline financial data management, but it’s not the primary choice for day-to-day accounting tasks such as invoicing, payroll, or tax filing. 

Here’s a clearer understanding of why Cognos may be mentioned in the context of accounting: 

Financial Reporting: 

Cognos can generate in-depth reports such as income statements, balance sheets, and cash flow statements, making it useful for accountants who need to produce detailed, accurate reports for stakeholders. 

Data Integration: 

It can pull in data from various accounting systems and other business tools, allowing accountants to have a consolidated view of financial data in one platform. 

Advanced Analytics: 

With Cognos, users can analyze financial data more effectively, using predictive models and advanced analytics to support budgeting, forecasting, and decision-making. 

Automation: 

Cognos allows for automated report generation and distribution, saving time for accounting teams and improving the accuracy of financial information. 

What is Cognos? 

Cognos is a suite of business intelligence (BI) and performance management software developed by IBM. It is primarily designed to help organizations make data-driven decisions by providing tools for reporting, analytics, data visualization, monitoring, and forecasting. Cognos allows businesses to gather, analyze, and report on data from various sources to gain insights that improve decision-making, operations, and performance. 

Here are the key features of Cognos: 

Reporting: 

Cognos provides powerful reporting tools to generate detailed and customizable reports, such as financial statements, operational reports, and ad-hoc reports. 

Reports can be generated in various formats, including PDF, Excel, and HTML. 

Data Visualization: 

Users can create dashboards and visual representations of data, such as charts, graphs, and tables, to easily analyze trends, performance, and key metrics. 

This is useful for decision-makers who need a visual understanding of data. 

Analytics: 

Cognos includes tools for descriptive, diagnostic, predictive, and prescriptive analytics, enabling users to analyze data patterns, forecast trends, and recommend actions. 

It supports both basic and advanced analytics, helping users make data-driven decisions. 

Performance Management: 

It helps organizations track key performance indicators (KPIs) and monitor business performance. 

Cognos provides tools for budgeting, planning, and forecasting, particularly in financial analysis. 

Data Integration: 

Cognos can integrate with various data sources, including relational databases, spreadsheets, and ERP systems, to provide a unified view of organizational data. 

Collaboration: 

Users can collaborate on reports, share insights, and interact with data across teams to align decisions with business goals. 

Cloud and On-Premises Deployment: 

Cognos offers both cloud-based and on-premises deployment options, providing flexibility in how organizations choose to deploy and access the software. 

Security: 

Cognos ensures that data is secure by providing user access controls and robust security features to protect sensitive business information. 

Key Uses of Cognos: 

Financial Reporting: Organizations use Cognos for generating financial reports, ensuring compliance, and tracking financial performance. 

Operational Reporting: It can be used for operational data analysis, such as inventory management, supply chain optimization, and customer service metrics. 

Executive Dashboards: Senior executives and managers use Cognos dashboards to monitor business performance at a glance, using visualized data to make informed decisions. 

How Cognos is best accounting software? 

Cognos is not specifically designed as accounting software but is a powerful business intelligence (BI) and performance management tool that complements accounting functions. It excels in financial reporting, budgeting, and forecasting, allowing accountants to generate detailed financial statements, track KPIs, and analyze data from various sources. Cognos enables automated report generation, saving time and improving accuracy. Its data visualization and advanced analytics provide valuable insights for decision-making. By integrating with other accounting systems and ERP tools, it allows businesses to consolidate financial data in one platform for better analysis. While not a traditional accounting software, Cognos supports financial operations by streamlining reporting, improving efficiency, and enhancing financial insights, making it an excellent choice for data-driven accounting and financial management. 

Top Features That Make Cognos the Best Accounting Software 

While Cognos is not specifically designed as traditional accounting software, it offers several features that make it highly beneficial for accounting and finance teams. Here are the top features that contribute to making Cognos an excellent tool for accounting and financial management: 

Advanced Financial Reporting 

Cognos excels in automated reporting for financial data. It can generate customized reports such as income statements, balance sheets, and cash flow reports. The ability to automate and customize reports saves time and ensures data accuracy, which is essential in accounting for compliance and decision-making. 

Scheduled Reports: Reports can be scheduled to run automatically, saving time for accounting teams who would otherwise need to generate them manually. 

Data Integration 

Cognos integrates seamlessly with various accounting systems, Enterprise Resource Planning (ERP) platforms, and data sources. It enables accountants to pull data from different systems, consolidating financial information in one unified dashboard or report. 

ETL Capabilities: It can extract, transform, and load data from multiple systems, making it easier to analyze financial data across the organization. 

Budgeting and Forecasting 

Cognos offers tools for budgeting, forecasting, and financial planning, which are key tasks in accounting. These tools help accountants predict future financial performance based on historical data and business trends, improving decision-making and resource allocation. 

It allows businesses to track budget vs. actual performance in real-time, providing insights into any discrepancies that may require attention. 

Advanced Analytics and Forecasting 

Predictive analytics tools in Cognos allow accountants to identify future financial trends, potential risks, and opportunities based on historical data. This helps improve financial forecasting and strategic planning. 

Financial analysts can use what-if analysis to simulate different scenarios, helping accountants make informed financial decisions. 

Data Visualization 

Cognos offers powerful data visualization capabilities, making it easier for accountants to present financial data in an intuitive and easily understandable format. Using charts, graphs, and dashboards, accountants can present complex financial data to stakeholders more effectively. 

This visualization is particularly useful for executives and managers who need quick insights into the company’s financial health. 

Security and Access Control 

Given the sensitive nature of financial data, Cognos offers robust security features, including user access controls and permission management, ensuring that only authorized personnel can view or modify financial information. 

The system supports granular access control, allowing accounting teams to limit access based on roles and responsibilities. 

Collaboration and Sharing 

Cognos enables collaboration between team members, making it easier to share reports and insights with stakeholders across the organization. It provides tools for commenting, discussion, and annotations within reports, which facilitates teamwork and decision-making. 

Accountants can easily share financial reports and dashboards with senior management, ensuring that everyone has access to the latest financial data. 

Real-Time Reporting 

With Cognos, accountants have access to real-time data and reports, which is crucial for up-to-date financial monitoring. This feature helps finance teams identify issues as they arise and respond quickly to changes in financial performance. 

The real-time analytics support quick decision-making and improve the ability to adapt to financial changes and challenges. 

Scalability and Flexibility 

Cognos is highly scalable, making it suitable for businesses of all sizes, from small companies to large enterprises. It can handle large volumes of data, making it an ideal solution for growing businesses that need more complex financial reporting and analysis. 

It is also flexible in deployment options, supporting both cloud and on-premise installations, allowing businesses to choose the best option for their needs. 

Audit Trails and Compliance 

Cognos supports auditing capabilities, which are essential for ensuring compliance with financial regulations and internal policies. The system provides detailed audit trails, making it easier to track financial transactions and ensure transparency and accountability in financial reporting. 

This is particularly useful during audits and when ensuring adherence to standards like SOX (Sarbanes-Oxley) for corporate governance. 

Why Choose Cognos Over Other Accounting Software? 

Cognos stands out for its unique combination of business intelligence (BI) and accounting features. Unlike traditional accounting software that primarily handles transactional processes, Cognos focuses on providing data-driven insights and strategic financial management. Its robust integration capabilities, scalability, and intuitive interface make it a preferred choice for businesses seeking to not only manage finances but also gain actionable insights to drive better decision-making and growth. Cognos allows organizations to analyze and visualize data from multiple sources, making it ideal for companies that require advanced financial analysis and reporting. 

How Cognos does make working so easy? 

Cognos simplifies work processes in organizations, especially for accounting, finance, and data-driven teams, through a combination of automation, integration, user-friendly features, and advanced analytics. Here’s a detailed breakdown of how Cognos makes working easier: 

Automation of Reporting and Data Generation 

Cognos automates the generation of financial reports, dashboards, and ad-hoc queries, saving significant time for employees who would otherwise have to compile data manually. Reports are automatically generated and can be scheduled to run at specific times (daily, weekly, or monthly), ensuring data is always up-to-date. 

Automated Data Updates: Once set up, Cognos pulls data from integrated sources, automatically updating reports, which eliminates the need for manual data entry or the risk of outdated information. 

Data Integration Across Multiple Systems 

Cognos integrates seamlessly with various data sources, such as accounting systems, ERP platforms, CRM tools, and databases. It can pull data from multiple departments and systems (finance, operations, sales, HR, etc.), providing a single source of truth. 

This eliminates the need to switch between different applications, helping users work with consolidated data in one place, improving efficiency and reducing errors due to data inconsistencies. 

User-Friendly Interface and Dashboards 

Cognos provides intuitive dashboards and easy-to-use tools that make it accessible for users with various levels of technical expertise. Accountants, financial analysts, and managers can quickly create customized dashboards that display key metrics, trends, and real-time data. 

Self-Service Reporting: Non-technical users can create and modify reports or dashboards without relying on IT, empowering business users to explore data and insights independently. 

Advanced Analytics for Quick Insights 

Cognos simplifies decision-making by providing advanced analytics capabilities such as predictive analytics, trend analysis, and what-if scenarios. This allows users to uncover trends, identify issues early, and make more accurate forecasts. 

It offers interactive features like drill-down analysis, which lets users click into reports or visualizations to view more detailed data without needing complex queries or technical knowledge. 

Real-Time Access to Data and Insights 

With Cognos, users have access to real-time data. This is crucial in today’s fast-paced business environment, especially for financial and operational decision-making. 

Real-time data access allows teams to quickly adjust their strategies based on the latest financial or performance information, avoiding delays in decision-making that can occur when relying on outdated reports. 

Collaboration and Sharing 

Cognos promotes team collaboration by enabling users to share reports, dashboards, and insights across the organization. Commenting and annotations within reports allow users to interact with the data, discuss findings, and suggest improvements, all within the platform. 

This eliminates the need for emails or separate meetings to discuss data, as everyone can access the latest version of reports in one centralized location. 

Mobile Access for On-the-Go Work 

Cognos offers mobile apps for accessing reports and dashboards on-the-go. Whether you're in the office, traveling, or working remotely, users can easily view financial data, KPIs, and performance metrics from their smartphones or tablets. 

This flexibility ensures that decision-makers have constant access to the information they need, increasing responsiveness and efficiency across the organization. 

Security and Access Control 

Cognos makes working easier by managing user access with detailed security controls, ensuring that only authorized users have access to sensitive financial data. 

Role-based access and permissions ensure that employees can only view or edit data that is relevant to their responsibilities, which helps streamline workflows by limiting unnecessary information overload. 

Scalable and Customizable to Meet Needs 

Cognos is scalable and customizable, making it adaptable to businesses of different sizes and industries. As your business grows, Cognos can handle increasing data volumes and more complex reporting needs. 

Users can personalize their workspaces and dashboards according to specific preferences and tasks, making the tool even more efficient and tailored to the team’s needs. 

Simplified Compliance and Audit Trails 

For businesses that need to stay compliant with financial regulations (like SOX or GDPR), Cognos simplifies the process by maintaining detailed audit trails of all actions, changes, and reports. This helps accountants and auditors track data movements and ensures compliance with industry standards. 

Automated compliance reporting ensures that teams can quickly provide the required documentation during audits, saving time and reducing the risk of human error. 

Conclusion: 

Cognos is not traditional accounting software but offers powerful business intelligence tools that complement accounting functions. It excels in financial reporting, budgeting, forecasting, and data integration, enabling organizations to make data-driven decisions. While not designed for day-to-day accounting tasks, its advanced analytics, automated reporting, and scalability make it a valuable tool for financial management and strategic decision-making. 

FAQs: 

What is Cognos used for in accounting? 

Cognos helps with financial reporting, budgeting, forecasting, and data integration, supporting accounting teams in generating accurate financial insights. 

Is Cognos better than traditional accounting software? 

Cognos is not designed as accounting software but offers advanced analytics and reporting that complement accounting functions. 

Can Cognos integrate with other accounting systems? 

Yes, Cognos integrates with various ERP and accounting systems to consolidate financial data for better analysis.��

[seoicon]

EPM WITH IBM

Integration is the key for streamlining planning, budgeting, forecasting and financial consolidation processes. In order to adapt to ever dynamic business conditions, enterprises need a solution that creates a single source of truth through visibility into their data. And it’s not just for finance — the same robust planning and consolidation solution can be a powerful EPM solution across the entire organization.

IBM Planning Analytics with Watson and IBM Cognos Controller help to unify and streamline planning and financial consolidation across the enterprise. Icon is one of the leading implementation partners of IBM in Asia, with many successful implementations across leading industry verticals like hospitality, healthcare, manufacturing and education.

FOR MORE INFO- https://www.iconresources.com/

[technoedu]

Top 10 Features of Cognos You Will Master Through Cognos Training

In todays data driven world, organizations need robust tools to make informed decisions. IBM Cognos Analytics stands out as a comprehensive business intelligence solution that empowers users to turn data into actionable insights. 

For anyone looking to harness the full potential of this powerful tool, Cognos training is essential. This training not only introduces you to the fundamentals but also dives deep into the advanced features that make Cognos a favorite among data professionals. 

Top Benefits of Cognos Training 

Here are the top 10 features of Cognos you will master through Cognos training:

Interactive Dashboards

Cognos offers dynamic, interactive dashboards that are designed to provide real time insights & facilitate data driven decision making. Through Cognos online course , you will learn how to create & customize dashboards that present key metrics & visualizations in a user friendly format. You will understand how to integrate different data sources, use widgets effectively & apply filters to create a personalized data experience.

2. Ad Hoc Reporting

One of Cognos standout features is its ad hoc reporting capabilities. This feature allows users to generate reports on the fly without needing extensive technical knowledge. This course will teach you how to leverage drag & drop functionalities, create custom queries & utilize advanced reporting options to answer specific business questions quickly & efficiently.

3. Advanced Data Visualization

Effective data visualization is crucial for interpreting complex data. Cognos excels in this area with its wide range of visualization options, including charts, graphs & heat maps. Through online training, you will gain the skills to select the appropriate visualizations for different data sets, customize them to enhance readability & apply best practices for presenting data insights clearly & concisely.

4. Automated Report Distribution

Cognos automates the distribution of reports, ensuring that stakeholders receive timely updates without manual intervention. Cognos online training will guide you through setting up automated report schedules, configuring email notifications & managing distribution lists. This feature ensures that critical information reaches the right people at the right time, improving overall efficiency & communication within the organization.

5. Data Modeling

A strong data model is the foundation of accurate & insightful reporting. Cognos allows users to create & manage complex data models that integrate various data sources into a unified view. This course will cover data modeling best practices, including how to build & maintain data models, define relationships & ensure data accuracy & consistency across reports & dashboards.

6. Query Studio

Query Studio is an intuitive tool within Cognos that enables users to create & run queries against their data. With this training, you will learn how to utilize Query Studio to perform in depth data analysis, build custom queries & explore data without needing a deep understanding of SQL. This feature is particularly useful for users who need to perform quick, self service analysis on their data.

7. Data Integration & ETL

Effective data integration & extraction, transformation & loading (ETL) processes are critical for ensuring that your data is accurate & accessible. Cognos provides robust tools for integrating data from multiple sources & preparing it for analysis. Cognos course will teach you how to use these tools to connect to different databases, clean & transform data & ensure seamless integration with your reporting environment.

8. Performance Management

Cognos excels in performance management by offering features that help organizations track & manage their key performance indicators (KPIs). Through training, youll learn how to set up & monitor KPIs, create performance dashboards & use predictive analytics to forecast future trends. This capability helps organizations align their strategic objectives with operational performance, driving better business outcomes.

9. Security & Permissions

Managing user access & securing sensitive data are crucial aspects of any business intelligence solution. Cognos provides comprehensive security features that allow administrators to set granular permissions & control access to data & reports. Training will cover how to configure security settings, manage user roles & implement data protection measures to ensure that only authorized users have access to specific information.

10. Collaboration & Sharing

Effective collaboration & information sharing are essential for maximizing the value of your business intelligence tools. Cognos facilitates these processes with features that allow users to share reports, dashboards & insights with colleagues. This course will teach you how to utilize collaboration tools, set up sharing permissions & integrate with other communication platforms to enhance teamwork & decision making.

Final Words

Mastering Cognos through comprehensive training can significantly enhance your ability to leverage its full potential. From interactive dashboards & ad hoc reporting to advanced data visualization & automated report distribution, Cognos offers a suite of features designed to empower users with actionable insights.

By gaining expertise in these top 10 features, you will be well equipped to transform your data into valuable business intelligence, drive informed decision making & contribute to your organizations success. Whether you are a data analyst, report developer, or business leader, Cognos online course provides the skills & knowledge needed to make the most of this powerful tool.

[researchers-me]

Our primary focus is on market research and data analytics. We offer a range of Market Research Services, such as surveys, mystery shopping, benchmarking, and feasibility studies. Additionally, our analytics services include data analysis, reporting, and dashboard creation, which enables management to make informed decisions. We also assist companies in implementing analytics tools such as IBM Cognos and Power BI.

[ascendient-learning]

Advance Your Career with Ascendient Learning's IBM Certification Courses 

Businesses prioritize professionals with specialized, certified skills, and among the most influential credentials are IBM certifications, known globally for their rigor, innovation, and relevance. According to a recent IT Skills and Salary report, professionals holding IBM certifications often earn salaries approximately 20% higher than their non-certified peers. Moreover, organizations leveraging certified professionals achieve faster innovation cycles, improved efficiency, and stronger competitive advantages. 

Ascendient Learning stands out as a trusted IBM education provider, recognized as TD SYNNEX – IBM's Training Provider of the Year (2019-2020). With unmatched quality, diverse course offerings, and flexible learning formats, Ascendient empowers learners to become IBM-certified experts, driving success for both individuals and businesses. 

Unrivaled Portfolio of IBM Certification Courses 

Ascendient Learning offers the largest selection of IBM-certified training courses in North America. Courses cover eighteen specialized IBM technology categories, ensuring comprehensive skill development that aligns directly with industry demands. 

IBM Analytics: Courses such as Cognos Analytics, SPSS Modeler, and Planning Analytics empower professionals with sophisticated data-driven decision-making capabilities. 

Artificial Intelligence: Training in IBM Watson and WatsonX equips learners to leverage AI-driven solutions, optimizing operations across industries from healthcare to finance. 

Cloud & Automation: Courses in Cloud Pak, WebSphere, and Business Automation Workflow prepare participants to build and manage secure, agile, cloud-based infrastructures efficiently. 

Security Solutions: QRadar, Guardium, and Verify training ensures that professionals can proactively identify, manage, and respond to cybersecurity threats. 

Sustainability & Asset Management: Certifications in Maximo, TRIRIGA, and Sterling enhance skills in asset lifecycle management, helping organizations significantly reduce operational costs and improve sustainability practices. 

Flexible Learning Formats to Fit Every Professional’s Schedule 

Instructor-Led Virtual Sessions: Engage directly with expert trainers from anywhere in the world, from anywhere in the world, in real-time.  

Guaranteed-to-Run Virtual Courses: Providing certainty and reliability, allowing you to plan training with confidence.  

Self-Paced Online Learning: Ideal for professionals needing maximum flexibility to learn at their own pace.   

In-Person Classroom Training: For those preferring immersive, face-to-face interactions with instructors and peers. 

Ascendient offers custom curriculum design and flexible FlexCredit pricing, allowing enterprises and individuals to tailor learning precisely to their needs and budgets. 

Proven Excellence and Exceptional Outcomes 

Ascendient Learning’s quality of instruction has been recognized by IBM. In 2020, Ascendient earned IBM’s Global Training Provider Excellence Award, highlighting exceptional standards in quality, student satisfaction, and training availability.  

Organizations report tangible benefits from Ascendient-certified IBM training. For example, a leading healthcare provider streamlined patient data management using skills gained from IBM Cloud Pak for Data certification, reducing operational complexities by over 30%. Similarly, financial services companies deploying IBM’s QRadar security certifications significantly improved their cybersecurity posture, enhancing threat detection and response time by approximately 40%. 

Enhance Your Professional Profile with IBM Digital Badges 

Ascendient Learning is also a leading issuer of IBM Digital Badge courses. IBM badges offer official recognition of your achievements and provide verifiable proof of your skills across professional platforms like LinkedIn. Digital badges increase your professional visibility, credibility, and appeal to employers. 

Why Choose Ascendient Learning for IBM Certifications? 

Ascendient Learning delivers unmatched advantages:  

Award-winning, expert-led training programs with highly rated instructors.  

The largest Guaranteed-to-Run IBM schedule eliminates uncertainty from training planning.  

Dedicated IBM education team, collectively bringing over 50 years of training experience.  

Comprehensive learning subscriptions and flexible pricing models to maximize value and convenience. 

Conclusion 

Your career trajectory is directly linked to your skills and certifications. By choosing IBM certification courses through Ascendient Learning, you invest strategically in your professional future and position yourself at the forefront of technology innovation.  

Don’t miss this opportunity to master vital IBM technologies and advance your career with credibility and confidence. 

Visit: https://www.ascendientlearning.com/it-training/ibm

[erpsoftwaredubaiuae]

Comparative Analysis of BI Software Providers in the UAE Market

Business Intelligence (BI) software has become integral to the decision-making processes of organizations across the UAE. With a plethora of BI software providers offering diverse solutions, choosing the right one can be challenging. This blog aims to provide a comparative analysis of leading BI software providers in the UAE market, helping businesses make informed decisions tailored to their needs.

Understanding the BI Landscape in the UAE

The UAE's business landscape is characterized by diverse industries, including finance, real estate, healthcare, and government services. Each sector has unique requirements for data analytics and business insights, driving the demand for specialized BI solutions. As such, BI software providers in the UAE offer a range of features tailored to these specific industry needs.

Comparative Analysis of Leading BI Software Providers

Microsoft Power BI

Key Features: Integration with Microsoft ecosystem, intuitive data visualization, AI-powered analytics.

Strengths: User-friendly interface, scalability, robust security features.

Use Cases: Widely adopted across various industries for its seamless integration capabilities and powerful analytical tools.

Tableau

Key Features: Interactive dashboards, extensive data connectivity options, advanced analytics.

Strengths: Data visualization excellence, strong community support, easy-to-use interface for non-technical users.

Use Cases: Ideal for organizations needing powerful visual analytics and data storytelling capabilities.

Qlik Sense

Key Features: Associative data model, augmented intelligence, mobile-first design.

Strengths: Powerful data integration capabilities, real-time data analysis, scalability.

Use Cases: Suited for enterprises requiring complex data analysis and predictive modeling.

SAP BusinessObjects

Key Features: Enterprise-wide BI, ad-hoc reporting, predictive analytics.

Strengths: Integration with SAP ERP systems, comprehensive BI suite, governance and compliance features.

Use Cases: Preferred by large enterprises needing unified BI solutions integrated with their existing SAP infrastructure.

IBM Cognos Analytics

Key Features: AI-powered analytics, reporting, dashboarding.

Strengths: Scalability, enterprise-grade security, robust performance management capabilities.

Use Cases: Suitable for organizations looking for advanced analytics and AI-driven insights.

Factors to Consider When Choosing BI Software

Scalability and Flexibility: Ensure the BI software can grow with your business and adapt to future needs.

Ease of Use: Consider the learning curve for end-users and the availability of training and support.

Integration Capabilities: Assess how well the BI software integrates with existing IT infrastructure and data sources.

Cost and Licensing: Compare pricing models, including upfront costs, licensing fees, and ongoing maintenance expenses.

Conclusion

Choosing the right BI Software UAE involves assessing specific business requirements, industry challenges, and long-term strategic goals. Each provider offers unique strengths and capabilities tailored to different organizational needs, from small businesses to large enterprises. By conducting a comparative analysis based on features, strengths, and use cases, businesses can make informed decisions that drive efficiency, innovation, and competitive advantage in the dynamic UAE market. Embracing BI software is not just about data analytics; it's about empowering organizations to make smarter decisions and achieve sustainable growth in a rapidly evolving business environment.

[differenttimemachinecrusade]

Education and Learning Analytics Market Size, Share, Scope, Analysis, Forecast, Growth and Industry Report 2032 – Policy and Reg

The Education And Learning Analytics Market Size was valued at USD 6.94 Billion in 2023 and is expected to reach USD 42.72 Billion by 2032, growing at a CAGR of 22.4% over the forecast period 2024-2032.

Education And Learning Analytics Market is undergoing rapid transformation, driven by digital innovation and the demand for data-informed decisions. Educational institutions are embracing analytics to improve learning outcomes, retention, and curriculum effectiveness.

Education And Learning Analytics Market continues to evolve as schools, universities, and corporate training programs increasingly adopt data-driven tools to track student progress, personalize content, and improve institutional performance. With the rise of online learning and blended education models, analytics has become essential for real-time feedback and long-term planning.

Get Sample Copy of This Report: https://www.snsinsider.com/sample-request/4674 

Market Keyplayers:

IBM Corporation (Watson Education, IBM Cognos Analytics)

Microsoft Corporation (Azure Machine Learning, Microsoft Power BI)

SAP SE (SAP Analytics Cloud, SAP SuccessFactors)

Oracle Corporation (Oracle Learning Management, Oracle BI)

Google LLC (Google Classroom, Google Analytics for Education)

SAS Institute Inc. (SAS Visual Analytics, SAS Enterprise Guide)

Tableau Software (Tableau Desktop, Tableau Prep)

Blackboard Inc. (Blackboard Analytics for Learn, Blackboard Predict)

D2L Corporation (Brightspace Insights, Brightspace Performance+)

Cornerstone OnDemand, Inc. (Cornerstone Learning, Cornerstone Analytics)

Trends Driving Market Growth

Personalized Learning Paths Learning analytics tools are enabling personalized education by identifying individual strengths, weaknesses, and preferences. Institutions are using this data to customize learning paths, ensuring better student engagement and performance.

AI and Predictive Analytics Integration The use of artificial intelligence and predictive analytics is helping educators identify at-risk students, forecast outcomes, and intervene early. These tools provide actionable insights for improving student success rates.

Real-Time Dashboards for Decision-Making Modern analytics platforms offer real-time dashboards and reporting tools that help educators and administrators monitor student behavior, attendance, and academic performance instantly.

Increased Adoption in Corporate Learning Learning analytics is not limited to academic institutions. Corporations are leveraging it to optimize employee training programs, track skill development, and align learning with business outcomes.

Enquiry of This Report: https://www.snsinsider.com/enquiry/4674 

Market Segmentation:

By Component

Software

Services

By Deployment

On-premises

Cloud

By End Use

Academics

K-12

Higher Education

Enterprises

By Type

Descriptive

Predictive

Prescriptive

By Application

Curriculum Development & Intervention Management

Performance Management

Student Engagement

Budget & Finance Management

Operations Management

People Acquisition & Retention

Market Analysis

High Demand for Digital Learning Solutions The global shift to e-learning, especially post-pandemic, has increased demand for platforms with integrated analytics. Schools and enterprises alike are investing in smart learning systems.

Government Initiatives and Policy Support Governments in many countries are promoting digital education infrastructure, with policies encouraging data-driven decision-making in schools and universities.

EdTech Startups Fueling Innovation A surge in education technology startups is driving innovation in analytics platforms. These companies are introducing user-friendly, AI-powered tools to make data accessible to educators of all levels.

Privacy and Data Security Challenges While growth is promising, concerns around student data privacy and compliance with regulations like GDPR and FERPA are critical challenges for market players.

Future Prospects

Education And Learning Analytics Market is expected to grow at a substantial CAGR over the next five years, with expansion across K–12, higher education, and corporate training sectors. Future developments are likely to focus on the following:

Greater Use of Learning Experience Platforms (LXPs) These platforms will combine analytics, AI, and content to deliver hyper-personalized learning experiences at scale.

Integration with Augmented and Virtual Reality (AR/VR) Analytics will play a key role in measuring the effectiveness of immersive learning technologies and optimizing their use in classrooms and corporate training.

Global Expansion in Developing Regions Emerging economies are rapidly investing in EdTech infrastructure, opening new markets for analytics providers.

Hybrid Learning Optimization As hybrid learning becomes the norm, analytics will help institutions balance in-person and digital learning formats for maximum impact.

Access Complete Report: https://www.snsinsider.com/reports/education-and-learning-analytics-market-4674 

Conclusion

The Education And Learning Analytics Market is set to play a pivotal role in the future of global education. By enabling smarter, data-informed decisions, analytics platforms are empowering educators, improving student outcomes, and transforming how institutions deliver knowledge. As technological advancements continue and adoption deepens, stakeholders must also focus on ethical use, data protection, and accessibility to ensure inclusive and impactful growth in the years to come.

About Us:

SNS Insider is one of the leading market research and consulting agencies that dominates the market research industry globally. Our company's aim is to give clients the knowledge they require in order to function in changing circumstances. In order to give you current, accurate market data, consumer insights, and opinions so that you can make decisions with confidence, we employ a variety of techniques, including surveys, video talks, and focus groups around the world.

Contact Us:

Jagney Dave - Vice President of Client Engagement

Phone: +1-315 636 4242 (US) | +44- 20 3290 5010 (UK)