How are you determining the stakeholders related to your analytics deployment? What kinds of training needs should be addressed for these stakeholders?
How would you conduct the change management process for your analytics deployment? Why?
Resources to help answer Discussion Questions:
Review “CRISP-DM 1.0 Step-by-Step Data Mining Guide,” by Chapman, Clinton, Kerber, Khabaza, Reinartz, Shearer, and Wirth (2000), located on the SPSS website.
https://www.the-modeling-agency.com/crisp-dm.pdf
Review “Certified Analytics Professional (CAP) Examination Study Guide,” by the Institute for Operations Research and the Management Sciences (INFORMS) (2014), located on the Informs website.
https://capstudyguide.informs.org//docs/studyguide.pdf
Read “Making Analytics Work in a Production Environment,” by Bailey (2016), located on the Elder Research website.
http://www.elderresearch.com/company/blog/making-analytics-work-in-production
Read “Predictive Modeling and Production Deployment,” by Gutierrez (2014), located on the Inside BIG DATA website.
http://insidebigdata.com/2014/10/08/predictive-modeling-production-deployment/
Read “Successfully Operationalizing Analytics,” by Taylor, from Analytics (2012).
http://analytics-magazine.org/successfully-operationalizing-analytics/
Read “Three Steps to Put Predictive Analytics to Work,” by Taylor, from Decision Management Solutions(2014), located on the SAS website.
Read “Data Scientists Tackle the Analytic Lifecycle,” by Lorica (2013), located on the O’Reilly Media website.
https://www.oreilly.com/ideas/data-scientists-and-the-analytic-lifecycle
Read “Nine Steps to Effective Business Problem Solving,” by Zwilling (2011), located on the Business Insider website.
http://www.businessinsider.com/nine-steps-to-effective-business-problem-solving-2011-7