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Seven Steps to Success for Predictive Analytics in Financial Services

Birst BI

This may involve integrating different technologies, like cloud sources, on-premise databases, data warehouses and even spreadsheets. Add the predictive logic to the data model. With the source data now fully integrated into an analytic model, add and test different predictive algorithms.

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Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

You can use the same capabilities to serve financial reporting, measure operational performance, or even monetize data assets. Strategize based on how your teams explore data, run analyses, wrangle data for downstream requirements, and visualize data at different levels.

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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?

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

Andrew White

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. measuring value, prioritizing (where to start), and data literacy? Link Data to Business Outcomes. Great idea.

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What Is Embedded Analytics?

Jet Global

Decrease costs by improving inventory management of goods, monitoring processes to increase resource utilization, or simply making it faster and easier for users to access the analytics they need. Manage compliance through up-to-the-minute performance measures, workflow automation, and essential regulatory reports.