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Visualizing data forces BI teams to take a deep look at corporate info
This article is part of the Nov. 2012, Volume 1, Issue 11 issue of BI Trends + Strategies
Ever since the first pie chart appeared in a presentation, organizations have used data visualization techniques to make colorless numbers more engaging and easier to grasp. And with the burgeoning amounts of data being captured, processed and analyzed by companies in the big data era, sophisticated visualization tools are being deployed to help parse everything from budgetary projections to customer feedback for business users. But installing the software is just the tip of the iceberg when it comes to using the technology to make data more understandable. According to a report on advanced data visualization software published by Cambridge, Mass., analyst group Forrester Research Inc. in July, visualization technology has become a critical element of business intelligence (BI) and analytics programs. "There is too much data out there for [business users] to understand what the patterns are just by looking at numbers," said Boris Evelson, a Forrester analyst who co-authored the Forrester Wave report. Done effectively, ...
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Features in this issue
With data visualization tools offering more and more functionality, managing projects to visualize data is becoming a bigger challenge for BI teams.
Data visualizations have become key components of BI applications. But there's more than meets the eye to enabling end users to 'see' information.
Stewarding data can be a tough nut to crack: lots of effort for a reward that isn't always apparent. To succeed, strong project management is needed.
Columns in this issue
Big data analytics applications require high-speed data availability. But one key part of many IT infrastructures isn't prepared for that challenge.