Tag Archives: granularity

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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Forecasting models: fundamentals

Forecasting methods and models can be qualitative or quantitative.  In this post, I discuss some of their characteristics and differences.

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Elements of a good estimate

The concurrent management of a multitude of projects competing for scarce resources in a changing regulatory and economic environment poses a serious challenge to many healthcare organizations. Clearly, doing a proper job of managing requirements, including their development and tracing from ideas to specifications, to conceptual designs, and then to “as built” designs, is important.

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