When was the data mining process formalized by a group of companies?

• A. 1999
• B. 1990
• C. 2005
• D. 1989

Answer: (A)

Formalizing a repeatable data mining process with a standard lifecycle is what this item is testing. In 1999, a group of companies introduced CRISP-DM, the Cross-Industry Standard Process for Data Mining, to provide a vendor-neutral framework for data mining projects. This standard gave teams a concrete, end-to-end sequence to follow—from business understanding and data understanding to data preparation, modeling, evaluation, and deployment. By codifying these phases and emphasizing iteration and business alignment, CRISP-DM made the data mining process repeatable across different industries and toolsets. That year is the milestone because it marks the publication and initial adoption of this widely used methodology. The other years fall outside this pivotal moment in establishing a common process.