Analytic process methodologies

There are several analytic process methodologies which are currently practiced; however, I will be discussing only two longstanding methodologies that have been in existence for a while, CRISP-DM and SEMMA, which can help you organize your journey from problem definition to insight.

CRISP-DM and SEMMA

Cross-Industry Standard process for Data Mining (CRISP-DM) and Sample, Explore, Modify, Model, and Assess (SEMMA) are two standard data mining methodologies that have been utilized for many years and describe a general methodology for implementing analytical projects. There is a good deal of overlap between the methodologies, even though the names for each step are different. All of the listed steps are important to the success of a predictive analytics project. However, it is not necessary that these steps be followed exactly in order. The concepts outlined are more or less an outline of best practices. It helps to be aware of the importance of each of these steps...