Ivan Salgo, MD, MS, is senior director of Global Cardiology at Philips in Boston and a member of the MIT Sloan EMBA class of 2012.
Analytics can turn cryptic data into insightful, effective decision-making. In general, it involves two broad approaches: clustering existing data to “see useful patterns” and applying machine learning on past data to “predict the future”. While “Big Data” has been the cornerstone of many sophisticated business models at firms such as Google and FedEx, the “New World” is generating data faster than managers can process it and presenting new opportunities and new challenges for decision-makers.
Following are two cases of using analytics to drive business decision-making. One uses a simple histogram analysis...

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