RESEARCH & RESOURCES

SAS Managing the Analytical WP cover

Managing the Analytical Life Cycle for Decisions at Scale: How to Go from Data to Decisions as Quickly as Possible

January 1, 2017

Analytical models are at the heart of critical business decisions. They can identify new opportunities, help you forge new or better relationships with customers, and enable you to manage uncertainty and risks. They should be created and treated as high-value organizational assets, but how do you do that?

You need powerful, easy-to-use software to wrangle your data into shape and quickly create many accurate predictive models. Then it takes powerful, integrated processes to manage your analytical models for optimal performance throughout their entire life cycle. Most important, the key to analytical success is quickly turning data into insights into actions, which means you must efficiently integrate accurate predictive models into the production systems that drive your automated decisions.

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