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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. By some reports, most data scientists spend 50 to 80 percent of their model development time on data preparation tasks. SAS adheres to five data management best practices that help you access, cleanse, transform and shape your raw data for any analytic purpose. With a trusted data quality foundation and analytics-ready data, you can gain deeper insights, embed that knowledge into models, share new discoveries and automate decision-making processes to build a data-driven business.

About SAS

SAS is the leader in analytics. Through innovative software and services, SAS empowers and inspires customers around the world to transform data into intelligence. SAS gives you THE POWER TO KNOW®.

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  Igen, szeretnék alkalmi emaileket kapni a SAS Institute Inc.-től és leányvállalataitól a SAS termékeiről és szolgáltatásairól. Tudomásul veszem, hogy beleegyezésemet bármikor visszavonhatom az emailek Leiratkozás linkjére kattintva.

A személyes adatokat a SAS Adatvédelmi Nyilatkozatának megfelelően kezelünk.

 
 

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