The success of any project depends on how well it is structured and executed, and how those working on it follow appropriate steps and logic. CRISP-DM is a flexible analytics production methodology, or ”process model”. The model provides a simple approach to bring analytics to production in a business-oriented and systematic way.
According to the founding team member of the CRISP initiative, Colin Shearer, the CRISP model was created to promote the use of data mining. The main goal was to create a clear and easy-to-understand process model that describes the work phases of a data mining project, emphasizing that data mining is not simply a technical task but also relates directly to business objectives, processes and outcomes.
Colin Shearer, Non-Executive Director, Houston Analytics