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As industries embrace analytics, organizations are now being asked to adopt more sophisticated analytic solutions than in the past. These include machine learning and prescriptive analytics because of their potential to directly increase business value and leapfrog competitors. Gartner estimates that the market for prescriptive analytics will grow to $1.88 billion by 2022.1 In addition, predictive and prescriptive analytics will attract 40% of enterprises’ new investment in business intelligence and analytics by 2020.2 Despite high levels of investment, more than 50% of data science projects are never fully deployed, leaving many organizations questioning what approach they should take to make these projects successful.