Cross Industry Standard Process for Data Mining (CRISP-DM) was created between 1996 and 2000 as a result of a consortium including SPSS, Teradata, Daimler AG, NCR Corporation, and OHRA. It divides the process of data mining into six major phases, as shown in the CRISP-DM reference model. This model provides a bird's-eye view of a data mining project life cycle. The sequence of the phases are not rigid; jumping back and forth from phase to phase is allowed and expected. Data mining does not cease upon the completion of a particular project. Instead, it exists as long as the business exists, and should be constantly revisited to answer new questions as they arise.
In the next section, we will consider each of the six phases that comprise CRISP-DM and explore how Tableau can be used effectively throughout the life cycle. We will particularly focus on the data...
