Business Intelligence Best Practices -

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Predictive Analytics




HandsOn-Business Analytics™
This course starts by defining the promise of business intelligence and the gap that exists between what is promised and what is often implemented.

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2007 Best Practices Award Winner: Corporate Express US Inc.
Leveraging predictive analytics allowed Corporate Express to innovate past intuition and judgment to base pairing decisions on solid math.

Predictive Analytics: Extending the Value of Your Data Warehousing Investment
by Wayne Eckerson
Predictive analytics can help companies optimize existing processes, better understand customer behavior, identify unexpected opportunities, and anticipate problems before they happen.

Drowning in Data, Thirsty for Answers: Filling the Information Gap
by Duncan Robertson
Even with the great technological advances of recent times, the gaps between business intelligence (BI) data, warehouse user requirements, and IT delivery capability is not narrowing.

Maximizing the Return on OLAP and Data Mining Analysts
by Hugh Watson, M. Kathryn Brohman
As companies increasingly use data mining to discover relationships in data, it is important to employ analysts effectively by assigning them to tasks that are consistent with their skills, work preferences, and career aspirations.

A Tipping Point Prediction: More Predictive Analytics
by Michael Schiff
Data mining, and its application as predictive analytics, has often been characterized as a technology that could only be utilized by highly skilled technical practitioners with strong statistical backgrounds.

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