CRISP-DM
The Cross Industry Standard Process for Data Mining (CRISP-DM) model 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 following CRISP-DM reference model. This model provides a bird's-eye view of a data-mining project lifecycle. Although the sequence of the phases shown in the diagram is typical, it is not rigid; that is, jumping back and forth from phase to phase is allowed and expected. Note that the outer circle communicates the ongoing data-mining lifecycle. 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:
We will consider each of the six phases that comprise CRISP-DM and explore how Tableau can be used effectively throughout the lifecycle. We will particularly focus on the...
