Stefan Boedeker specializes in the application of economic, statistical, and financial models to areas such as solutions to business issues, economic impact studies, and complex litigation cases.
With over twenty years of experience, Mr. Boedeker has provided economic, financial, and statistical consulting and expert services to clients across a wide range of industries, including healthcare, high technology, entertainment, manufacturing, retail, real estate, insurance, and financial services, and federal, state, and local governments. He has issued expert reports and given deposition and trial testimony in state and federal courts.
Mr. Boedeker has extensive experience applying economic and statistical theories to class action-related matters, including class certification issues, liability assessment, and calculation of economic damages.
Mr. Boedeker also has extensive experience applying economic and statistical theories and methodologies to employment-related matters such as discrimination, wrongful termination, and wage and hour cases. His work in such cases to date has included designing and conducting surveys, time and motion studies, and observational studies; statistically analyzing the results of such surveys and studies; applying statistical sampling methodologies to extrapolate results from a subset to a universe of individuals; developing statistical models and tests to answer liability questions; applying economic theory to develop damages scenarios; and analyzing large employment-related databases.
Before joining BRG, Mr. Boedeker worked for both privately held and publicly traded litigation consulting firms, as well as national accounting firms. He started his career as an economic and statistical research assistant for the German government.
University of California, San Diego
PhD requirements except dissertation, Economics
University of Dortmund/Germany
BA, Business Administration
2008 - 2010
Alvarez and Marsal
2007 - 2008
2005 - 2007
2004 - 2005
2003 - 2004
2002 - 2003
1992 - 2002
BRG experts were retained first to do an economic analysis of the competitive landscape and identify key drivers for cost and revenue in a specialized software market. The next step was an econometric numbers-based analysis.
Every business needs to acquire more customers than it loses. While market research can generally sum up reasons for customer (dis)loyalty, careful econometric analysis of data around customer departures and arrivals can help identify what customers really value.
- Grocery Store Chain: Customer Segmentation, Loyalty Program Design, High-Value Markets, Dynamic Pricing
While developing a new business plan, a grocery store chain realized it was not utilizing data gathered from its new loyalty card program and at store terminals. It approached BRG experts to turn raw data into predictive insights to improve the loyalty program.
A casino and gambling boat operator's loyalty program suffered from incomplete information about the spending patterns and spending potential of its customers.
A multinational food and beverage company wanted to optimize product pricing after a series of new brand acquisitions had taken place.
A global entertainment firm needed to market more efficiently hundreds to thousands of titles per year across 50 to 60 countries worldwide, with integrated marketing planning and execution.
BRG has been retained in several cases relating to payments made by health insurers to providers that are not in their provider networks (out-of-network reimbursement).
News & Insights
- BRG Review 3:1Spring 2013
Seminars & Speaking Engagements
- May 19, 2016
- December 8, 2015
News & Commentary
- Seyfarth Shaw Wage & Hour Litigation BlogMay 9, 2017