Features

Why Update CRISP-DM?

CRISP-DM is a methodology that makes data mining and predictive analytics projects more efficient, better organized, more reproducible, more manageable, and more likely to yield business success.

Many changes have occurred in the business application of data mining since CRISP-DM 1.0 was published. Emerging issues and requirements include:

• The availability of new types of data�text, Web, and attitudinal data, for example�along with new techniques for pre-processing, analyzing, and combining them with related case data
• Integration and deployment of results with operational systems such as call centers and Web sites
• Far more demanding requirements for scalability and for deployment into real-time environments
• The need to package analytical tasks for non-analytical end users and integrate these tasks in business workflows
• The need to seamlessly integrate the deployment of results and closed-loop feedback with existing business processes
• The need to mine large-scale databases in situ, rather than exporting an analytical dataset
• Organizations� increasing reliance on teams, making it important to educate greater numbers of people on the processes and best practices associated with data mining and predictive analytics

You can help address these and other issues by joining the CRISP-DM 2.0 Special Interest Group (SIG). Signing up for the SIG does not commit you any cost or specific activity, but being a member gives you the opportunity to participate in the CRISP-DM Update at a level that matches your expertise and commitment to data mining.

For more information and to sign up, see

www.crisp-dm.org/new.htm