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Home / News & Events / Practical Solutions to Marketing Optimization Problems

Practical Solutions to Marketing Optimization Problems

Presented: Tuesday, May 15th, 2007

Speaker: Paul Maiste, Lityx

View the on-demand web cast. Download instructions on how to view the web cast.

Download the web cast presentation.

In this web cast, we will continue to explore complex optimization problems marketers face on a daily basis. In Part 1 of this series, the focus was on defining the problem. In Part 2, we will discuss practical techniques for solving marketing optimization problems. We will discuss key analytic methodologies and algorithms that can be used, as well as the data models necessary to support them.  Real data and real results will be shown and analyzed.

Paul Maiste, Lityx

Paul Maiste has over 15 years experience providing analytic, statistical modeling, and data mining consulting services to a wide-range of companies, focusing primarily in the areas of marketing analytics and customer relationship management.  He is a recognized expert in data mining and predictive modeling, and its applications to marketing, and has been an invited speaker at numerous conferences and symposiums on these topics both in the U.S. and abroad.

During nearly seven years at PricewaterhouseCoopers (PwC), he led a data mining practice focused on marketing and customer management solutions, and helped build a strong linkage between analytics, data mining, and data warehousing within the firm and for clients.  In addition, he was PwC’s global alliance manager for the relationship marketing practice.

Currently, Paul is founder and president of Lityx, a consulting firm that provides services and training in marketing analytics and strategy, predictive modeling, and data mining.  His past clients have included many Fortune 500 companies as well as small and mid-size companies, and span many industries.

Paul holds a B.S. degree in Mathematics from Loyola College in Maryland and a Ph.D. in Statistics from North Carolina State University.