Mike is a leader in the field of Marketing Data Science & Operational Strategy with 20+ years leading global Data Science, AI/ML, and Marketing Analytics teams at Dell Technologies, Cisco, Pure Storage, Hitachi Vantara and Hearst Media. He is also an Accredited Professional StatisticianTM with the American Statistical Association.
He builds data science teams using his years of GTM domain experience in strategic planning, sales and marketing. Mike has a hands-on data science approach and collaborates with GTM functions to recommend courses of action based on the insights and capabilities delivered by machine learning and statistical models, datamining, and data strategy.
This website is focused on the practice of marketing data science, which is a craft that employs data-mining, statistical and machine learning, and other analytical techniques for targeting, segmentation, forecasting, recommendation and optimization.
Data scientists are trained to following the CRISP-DM methodology for working cross-functionally to solve business problems. Information on this process is widely available.
Years ago Todd Forsythe asked me to explain the Marketing Data Science in a way that showed marketing application, and while I have carried this slide with me it is fundamentally the same as it was when marketing data science was a new idea:
Another cool Python chart using synthetic data (Beta distribution random data) … open-source and looking as good as any of my Tableau visualizations!
