Cross-industry standard process for data mining

The first version of the methodology was presented at the 4th CRISP-DM SIG Workshop in Brussels in March 1999,[5] and published as a step-by-step data mining guide later that year.

[6] Based on current research, CRISP-DM is the most widely used form of data-mining model because of its various advantages which solved the existing problems in the data mining industries.

The success of CRISP-DM is largely attributable to the fact that it is industry, tool, and application neutral.

Polls conducted at the same website (KDNuggets) in 2002, 2004, 2007, and 2014 show that it was the leading methodology used by industry data miners who decided to respond to the survey.

[9] Efforts to update the methodology started in 2006, but have, as of June 2015, not led to a new version, and the "Special Interest Group" (SIG) responsible along with the website has long disappeared (see History of CRISP-DM).

In 2024, Harvard Business Review published an updated framework, bizML, that is designed for greater relevance to business personnel and to be specific for machine learning projects in particular, rather than for analytics, data science, or data mining projects in general.