Remove Data Warehouse Remove Insurance Remove Measurement Remove Prescriptive Analytics
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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. This may involve integrating different technologies, like cloud sources, on-premise databases, data warehouses and even spreadsheets.

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The Gartner 2021 Leadership Vision for Data & Analytics Leaders Webinar Q&A

Andrew White

As such banking, finance, insurance and media are good examples of information-based industries compared to manufacturing, retail, and so on. See Roadmap for Data Literacy and Data-Driven Business Transformation: A Gartner Trend Insight Report and also The Future of Data and Analytics: Reengineering the Decision, 2025.

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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. Today, regulated industries seek to play both offense and defense, and leverage customer data more proactively. Does it govern the data as it migrates?