TDWI Best Practices Report: Data Management for Advanced Analytics

 2020/06/18

Modern enterprises are expanding their analytics programs to improve their ability to make fact-based decisions, plan for an uncertain future, compete on analytics, and grow customer accounts. These high-value business goals require advanced forms of analytics, which in turn demand use-case-appropriate data integration, data platforms, and other data management. Without the right data in the right format on the right platform, critical and expensive efforts in advanced analytics have little or no business value.

This report defines data management for advanced analytics (DM for AA), which tailors established and emerging data management best practices and techniques to specific forms of advanced analytics, thereby raising the precision, productivity, and business value of analytics.

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