|When:||Wednesday Mar. 18, 2015 Noon - 2 PM|
|Place:||The Penn Club, 30 West 44th Street, New York, NY|
Call (212) 362-0302 or email
|Cost:||$60 for non-members, $50 for
$5 surcharge for walk-in without reservation.
New members: Membership fee + $20 lunch
|Topic:||Predictive Analytics + Constrained Optimization = Efficient Marketing|
Predictive modeling has become more mainstream in the last 5 years as companies add more advanced capabilities to their analytic toolsets. There has also been more talk about incorporating concepts related to optimization (constrained or unconstrained) into business decision making. There is no argument that each can be quite powerful in their own right.
In this presentation, I'll take it to the next level: combining predictive models and constrained optimization techniques to provide tools that allow marketers to make optimal decisions and dramatically improve efficiency.
Paul has nearly 25 years of experience designing and delivering strategic analytic solutions such as BI, predictive modeling, and marketing optimization to businesses of all sizes. His experience includes nearly seven years at PricewaterhouseCoopers (PwC) where he started and led the firm's customer data mining practice and was a member of the firm's global data warehousing management team. He has also given numerous presentations in the U.S. and abroad on the value of advanced analytics. Over the years, he has provided analytic services, solutions, and training for dozens of clients including AARP, Pinnacle Entertainment, Bank of America, GMAC Commercial Mortgage, New York Life, American Express, PNT, Kennedy Center, McDonald's, Acxiom, State Farm, Jockey International, Radio Shack, P&G, JC Penney, Sumitomo Corporation, and many others. Paul earned a Ph.D. in Statistics from North Carolina State University.