Strong analytics projects rarely begin with a complicated algorithm. They begin with a familiar question: Why does a bakery waste ingredients? Which service calls should be handled first? How accurately can a contractor estimate cost before visiting a site? Each one gives the technical work…
Every company says they want to be data-driven. In practice, that responsibility falls to a small set of specialized roles. The confusion shows up when teams hire the wrong role for the problem, or when someone tries to move into “data” without knowing what the…
Data-driven, analytics-based health care is being quickly deployed and embedded. Chronic conditions, in particular, are types of diseases that can benefit with data-driven approaches, as disabling illnesses need long term follow up and tailored care and ongoing treatment response monitoring. A disease Chinese economy has favored some…
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