What predictive analytics pros don't do

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What predictive analytics pros don't do

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BI Trends + Strategies - Issue 9, September 2012

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. Access >>>

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Features

- Top five things business intelligence and analytics pros overlook by Eric King
  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.
- Business intelligence manager bears burden as myths curb BI success by Roger du Mars, Contributor
  A variety of wrong notions are holding back business intelligence efforts in companies, putting the onus on BI teams to puncture the misconceptions.

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- Why execs should heed need for data governance by Kelle O’Neal
  In this information-driven age, analyzing data is more important than ever, but ensuring that it can be trusted should come first.

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