Lack of good, consistent quality data is cited as the number one challenge organizations face to realizing the full potential from analytics (A.T. Kearney’s “2015 LEAP Study - Leadership Excellence in Analytic Practice”). Excessive time and resources are needed to manipulate and “roll-up” data before business analysts can start to use it for reports, analytics and insights.

Often these challenges are compounded when analysts create work-arounds that drive “shadow” data bases and ad hoc data management processes that undermine confidence in the data. Strong business intelligence can become the data syndication traffic cop and data clearing house for enterprises that need to make better, faster decisions using good quality data and insightful analytics.

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