Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
    cybersecurity efforts
    How Behavioral Analytics and AI Are Redefining Cybersecurity for Boca Raton Businesses
    14 Min Read
    data driven risk management in heatlhcare
    How Data Analytics Is Changing Healthcare Risk Management
    17 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: The Vast Majority of Analytics is Still Reporting (And That’s Not So Bad)
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Analytics > The Vast Majority of Analytics is Still Reporting (And That’s Not So Bad)
Analytics

The Vast Majority of Analytics is Still Reporting (And That’s Not So Bad)

Timo Elliott
Timo Elliott
4 Min Read
SHARE

Despite the surge in interest and sales of modern data discovery tools like SAP BusinessObjects Lumira and SAP BusinessObjects Cloud, corporations are still really, really interested in reporting.

At the recent Gartner Data & Analytics event in Texas, Cindi Howson showed that descriptive analytics remains by far the most common type of analysis that companies do in the real world.

Last year, Gartner redefined the BI and Analytics Platforms Magic Quadrant, relegating traditional self-service and interactive reporting tools that do the bulk of today’s descriptive analytics, like WebIntelligence, to a separate Enterprise-Reporting Based Platforms report — even though the newer tools made up only 25% of the overall market for analytics software.

Demand for the new tools is increasing rapidly, for good reasons. In particular, they are more agile and so can more easily keep up with ever-changing analytic needs. But in most organizations, there are still plenty of business benefits that can be achieved with traditional enterprise reporting tools.

More Read

Some thoughts on advanced analytics in 2010
Every Business Needs an Analytics-Driven Content Marketing Strategy
Trading System Description
How Does Predictive Analytics Work?
Open Data: What’s It Hiding?

For example, fresh-food supplier Pret a Manger used WebIntelligence to deliver real-time, actionable information on mobile devices to front-line workers.

The insights made a huge difference to the way the company was run, even though this investment is no longer considered “analytics” according to Gartner’s latest criteria.

As Donald MacCormick has often pointed out in his blog posts, the reality is that many (most?) people just want easy access to the information they need to do their job.

For example, some of the most powerful computers in the world are used to calculate weather predictions, but most of us are happy to consume all that complexity as a simple symbol that tells us whether to bring an umbrella or not.

Even if newer solutions can provide the same information in more flexible ways, many organizations have made big investments in traditional interactive reporting and IT-created dashboards over the years and see no big incentive to recreate them all from scratch in newer tools.

This helps explain the remarkable robustness of the market share held by traditional analytics vendors. For example, I stumbled across this old chart of IDC market share data (3D charts alert!). It shows the market-leading share of SAP BusinessObjects in 1997.

Analytics has been at or near the top of CIO priority lists ever since. Every year, organizations carefully compare the dozens of different analytics products available to them, and invest in the ones that are the best fit for their real-world needs.

IDC eventually renamed the category “Worldwide Query, Reporting, and Analysis” revenue, but SAP / BusinessObjects has now been the number one analytics vendor for over two decades.

For organizations that already have a lot of reports, it makes a lot of sense to continue to invest in vendors that can support their existing infrastructure as well as help them with the transition to compatible modern data discovery and visualization tools.

At next week’s Gartner Data & Analytics event, I’m sure we’ll hear a lot more about the future of BI — but in the meantime, it’s clear that the reporting past is far from dead.

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Evaluating Construction Scheduling Software for Better Data Visualization and Project Decisions -- AI-generated illustration
Evaluating Construction Scheduling Software for Better Data Visualization and Project Decisions
Big Data Data Visualization Exclusive Software
Comparing 5 Top Compliance Training Providers for Large Businesses -- AI-generated illustration
Comparing 5 Top Compliance Training Providers for Large Businesses
Business Intelligence Exclusive
11 Best AI Tools for Critical Thinking in Research -- AI-generated illustration
11 Best AI Tools for Critical Thinking in Research
Artificial Intelligence Exclusive
Top 7 GTM Intelligence Tools with MCP Integration in 2026 -- AI-generated illustration
Top 7 GTM Intelligence Tools with MCP Integration in 2026
Artificial Intelligence Exclusive News

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Successful Sales Forecasting Requires Dedicated Technology

9 Min Read
predictive analytics limitations
AnalyticsBusiness IntelligenceData ManagementPolicy and GovernancePredictive AnalyticsRisk Management

Predictive Analytics Limitations with Small Business Risk Assessments

6 Min Read
Motorsports
AnalyticsBig Data

Big Data in Motorsports: How F1 And NASCAR Compete on Analytics

7 Min Read

History of BI Month

1 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

AI and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive
ai in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?