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Data Digest: Spatial Analytics, Predictive Analytics Pitfalls, and Simplifying Visualizations

Articles of interest today focus on data visualization (including spatial analytics) and the five common pitfalls of predictive analytics.

Visualizing BI with Spatial Analytics
(Source: Information Age)

Data can come from anywhere. Nowadays, figuring out where that data comes from can be crucial for best exploiting what your enterprise collected. This article reviews spatial analytics, looks at a few case studies, and then extrapolates what spatial analytics might be good for in any enterprise.


Avoiding Five Common Pitfalls of Predictive Analytics
(Source: I Crunch Data News)

Predictive analytics is seen as the future of BI, and for that reason there are many misconceptions about the implementation and use of predictive analytics. This article blows five common misbeliefs out of the water.


Simplify Visualization Projects for Best Effect
(Source: Tech Target)

As collecting and analyzing big data gets easier, the presentation of the findings through data visualization is growing more important. Good data visualization presentations can communicate plenty of valuable information in an understandable manner. The key to making a good presentation, this article argues, is making the visualizations as simple as possible.

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Quint Turner is an editorial intern at TDWI and an undergraduate English student at Skidmore College. Follow his blog at   

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