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5 Data Management for Analytics Best Practices

About this paper

“Unpolluted” data is core to a successful business – particularly one
that relies on analytics to survive. But preparing data for analytics is
full of challenges. In fact, most data scientists spend 50 to 80
percent of their model development time simply preparing data.

SAS adheres to five data management best practices that provide access to all types of raw data and let you cleanse, transform and shape it for any analytic purpose. As a result, you can gain deeper insights, embed that knowledge into models, share new discoveries and automate decision-making processes across your business.

Find more information about DataManagement4Analytics here.

About SAS

SAS is the leader in business analytics software and services, and the largest independent vendor in the business intelligence market. Through innovative solutions, SAS helps customers at more than 83,000 sites improve performance and deliver value by making better decisions faster. Since 1976 SAS has been giving customers around the world The Power to Know® .

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