Category Archives: Predictive analytics

Understanding past and current data allows one to understand the limitations of any forecasts made.

Process mining vs. data mining

In this post, I will try to highlight key differences between process mining and data mining, and explain why we should be paying greater attention than we currently are to the former.

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“The number” vs. outcomes of varying likelihood: gaining perspective

How many times have we heard a manager or executive say “Just give me the number!”? This request smacks of frustration and conveys an unrealistic expectation.  While this is slowly changing, single-point estimates are still the goal when making managerial projections at many healthcare providers today. In this post, I want to discuss an alternative approach.

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