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Data and its use to surface insights has become a principal priority for the life sciences industry. Yet using analytics to drive efficiency has been problematic for many companies as they struggle with how to improve their processes for managing their data. Life sciences organizations have to rethink the way they currently manage information, and what types of analytics they can use. Prepared by PharmaVOICE with support from SAS, this paper addresses these questions by outlining the analytical journey and the five steps to achieve analytical maturity, including a useful Analytic Maturity Scorecard.
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