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Seven Steps to Success for Predictive Analytics in Financial Services

Birst BI

The output of these algorithms, when used in financial services, can be anything from a customer behavior score to a prediction of future trading trends, to flagging a fraudulent insurance claim. Richard is a veteran of the BI industry, having worked with analytics and data warehousing solutions from Business Objects, SAS, Teradata and SAP.

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What Is Data Intelligence?

Alation

Augmented Analytics. DI empowers analysts to apply augmented analytics to applications, supporting predictive and prescriptive analytics use cases. Why does the business want to leverage data intelligence? Why reinvent the wheel? Transparency Supports Teamwork and Trust. What will success look like?