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Competitive pressures have made it imperative for organizations to master analytics. But many analytics teams are tied up in managing production analytic processes, so they lack a framework for ensuring process quality and efficiency. How can such teams quickly identify, prioritize and fix problem areas – and free up critical analytics capacity? The answer is Lean Six Sigma, which is the marriage of two improvement methodologies, Lean and Six Sigma. As this paper illustrates, many analytics teams have gone "lean" to effectively and efficiently manage all the people, processes, data and technology involved in taking their insights from conception to deployment.
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