Using Predictive Performance Management to Drive Strategy and Growth

Everyone’s looking for a way to improve performance, but how do you know whether your performance initiatives will effectively meet the changing requirements of today and tomorrow? How do you best determine the outcome of certain decisions? While many companies employ strategies to manage their performance, the most successful companies have learned to maximize—not just manage—their performance to increase profitability and achieve desired outcomes through predictive performance management.

Predictive performance management can help your business enhance its current performance management systems through the implementation of new analytic technology that allows for more informed decisions and insight into future outcomes that result from the actions and decisions of today.

During this webcast YOU WILL LEARN:

• Which analytics are most reliable for making more accurate decisions
• How to respond to business challenges quickly and efficiently
• Ways to proactively forecast, plan and analyze business performance
• Strategies for achieving new levels of foresight spanning business units and functions

Who should attend: CEOs, CFOs, Directors of Finance, Performance Measurement Analysts and Planners, Program Managers

About the Webinar Leader: Daniel Thorpe

Daniel Thorpe currently directs the Statistics and Modeling Group for Wachovia's Customer Analytics and Targeting Division (CART). CART is a recognized Center of Excellence that offers rigorous analytical and marketing research support to develop strategies to acquire, enhance, deepen and retain customer relationships.

Thorpe has a BS in chemical engineering and an MS and PhD in statistics, all from the University of Minnesota, where his research and focus were in industrial statistics (design of experiments) and inference in small sample sizes. Upon finishing his PhD, he took a job with W.L. Gore & Associates, where his areas of contribution varied across experimental design in product development, survey design and analysis in employee engagement and in the financial modeling and forecasting of product demand. During this time, he frequently gave presentations and papers on how the statistical community can more effectively partner and collaborate with business peers.

When he joined Wachovia, Thorpe’s focus turned entirely to generating customer insight from the huge amounts of data and information that Wachovia collects. He and his team partner with Wachovia’s line of business in modeling customer behavior from targeted marketing campaigns to understanding the value of customer loyalty. He leads Wachovia’s marketing ROI modeling efforts, where he partners with Wachovia’s corporate marketing team.