The Life Cycle of the Analytical Data Mining Process
Aug 4, 2016 12:49 PM
Sam Edgemon, Principal Technical Consultant, SAS
Tony Cooper, PhD, Analytical Consultant, SAS
Too often, the technical aspects of building models overshadow vital and foundational aspects of the process. This presentation focuses on important but often overlooked aspects of analytics: discovery, data quality, the presentation of analytical findings to management, deployment, the evaluation of models in the field, and the concept of challenger models. JMP has excellent support for aggressive, dynamic experimentation and observational studies; however, JMP also supports other aspects of analytics, namely the data mining of stored data. We will use JMP Pro to analyze data and build models to truly demonstrate the life cycle of the analytical data mining process.