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What predictive analytics pros don't do
Issues come from ineffective or nonexistent business intelligence (BI) and data management processes. Read this e-zine to discover the issues, as well as practices many are neglecting. Topics include five overlooked practices of predictive analytics, four myths of the newest BI tools, and the importance of data governance.
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Features in this issue
When projects fail to deliver the expected results, the culprit is often inadequate preparation. Program managers and data analysts need to first understand what it is they are getting into.
A variety of wrong notions are holding back business intelligence efforts in companies, putting the onus on BI teams to puncture the misconceptions.
News in this issue
In this information-driven age, analyzing data is more important than ever, but ensuring that it can be trusted should come first.