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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. Once an accurate predictor of future behavior is identified, integrate the scoring measures directly into the data model.

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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? Once you’ve got the software, it’s time to test it out, assigning key roles and measuring progress.