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Data visualizations get more advanced -- and more complicated
This article is part of the BI Trends + Strategies issue of Nov. 2012, Volume 1, Issue 11
Data visualization isn't just about static bar and pie charts anymore. The available tools have evolved into advanced technologies that support the creation of complex, interactive visualizations with dynamic data, visual querying capabilities and other attributes identified by Forrester Research analysts Boris Evelson and Noel Yuhanna in a report released in July. The Forrester Wave report says that technology is no longer a barrier to advanced data visualization applications. What holds companies back now are implementation and design mistakes. In the lead story in the November issue of our BI Trends + Strategies e-zine, SearchBusinessAnalytics.com contributor Christine Parizo catalogs advice from Evelson and other BI analysts on how to properly manage data visualization projects. Good visual design is crucial in developing effective data visualizations, they say -- but don't get so caught up in the visuals that you forget the business reasons for creating them in the first place. Next, SearchDataManagement.com contributor ...
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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.