Andrew Banasiewicz

Professor Andrew BanasiewiczAssociate Professor of the Practice of Administrative Sciences

PhD, Louisiana State University
MBA, Louisiana Tech University
BS, Northwestern State University

A predictive analytics expert whose focus is in decision support solution development and statistical methodologies, Dr. Banasiewicz has over fifteen years of hands-on industry experience in quantitative risk assessment and marketing analytics, and more than a decade of experience managing and developing analytic teams in business organizations. He has been actively engaged in a number of industries, including consumer packaged goods, automotive, financial services and insurance, consumer products, energy, utilities, hospitality, gaming, and business services. His areas of expertise include multivariate predictive modeling; exploratory data—including text—mining; “big data” manipulation and analysis; and multisource analytics and data amalgamation, among others. Banasiewicz is the founder and principal of Erudite Analytics (, and was formerly senior VP of analytics at Beecher Carlson; VP of marketing strategy and analysis at Digitas; director of statistical services at Liberty Mutual Insurance; and senior consultant at Epsilon Data Management. He has taught and designed courses in the area of marketing research and database analytics, marketing strategy, and risk management and analytics. Among his many publications, Banasiewicz has authored three books: Marketing Database Analytics (Routledge, New York and London, 2013); Cracking the Code of Executive Risk (Erudite Analytics, 2013); and Risk Profiling of Organizations (Erudite Analytics, 2009). He is the coordinator for MET’s online Risk Management & Organizational Continuity graduate certificate and Business Continuity, Security & Risk Management master’s programs.

  • Risk estimation/quantification methods for professional liability
  • Consumer reviews-derived market structure mapping
  • Incorporating text mining into “traditional” risk estimation

  • MET AD 610 – Introduction to Risk and Continuity Management
  • MET AD 655 – International Business, Economics, and Culture
  • MET AD 856 – Marketing and Economic Research and Analysis
  • MET MG 473 – Quantitative and Qualitative Decision-Making


Marketing Database Analytics: Transforming Data for Competitive Advantage (New York and London: Routledge, 2013).

Cracking the Code of Executive Risk (Boston, Mass.: Erudite Analytics, 2013).

Risk Profiling of Organizations (Boston, Mass.: Erudite Analytics, 2009).


Refereed Journals

“Rethinking Buyer Loyalty Analytics.” Journal of Consumer Marketing vol. 25 (Fall–Winter 2005).

“Marketing Pitfalls of Statistical Significance Testing.” Marketing Intelligence and Planning 23, no.6 (2005).

“Acquiring High Value, Retainable Customers.” Journal of Database Marketing 12, no. 1 (September 2004).

“How to Identify High Value Consumers.” DM Review Direct (November 16, 2001).

“Selecting a Segmentation Approach.” DM Review Direct (February 2, 2001).

“Selecting Your Best Customers through Brand Loyalty.” DM Review (October 2000).


Conference Presentations

“A New Approach to Casualty Claims Management.” National Meeting of the Risk & Insurance Management Society, San Diego, 2008.

“Multivariate Modeling Applications for Casualty Claims Management.” Risk & Insurance Management Society, Denver, 2008.

“Predictive Analytics for Enterprise Risk Management.” Risk & Insurance Management Society, Texas Chapter, Dallas, 2008.

“Predicting Securities Class Action Litigation.” Risk & Insurance Management Society, Georgia Chapter, Atlanta, 2007.

“Estimating Company-Specific Likelihood and Severity of Securities Class Action Litigation.” Risk & Insurance Management Society, Massachusetts Chapter, Boston, 2006.

“The Moderating Effect of Combinations of Dissimilar Shoppers’ and Sellers’ Ethnicities on Shoppers’ Perceptions of Sellers’ Personality Traits.” Symposium on Patronage Behavior and Retail Strategic Planning, Baton Rouge, La., 1994.

“The Determinants of the Degree of Adaptive Selling: Replication and Extensions.” Southern Marketing Association, Dallas, 1994.

“The Intellectual Structure of ABSEL: A Bibliometric Study of Author Co-Citations over Time.” Association for Business Simulation and Experiential Learning, San Diego, 1994 (Award: Most Innovative Paper).

“Understanding the Frame of Reference of Retail Salespeople in Training and Evaluation.” Symposium on Patronage Behavior and Retail Strategic Planning, 1993, Lake Placid, N.Y.

“Focusing on Adaptive Selling Abilities: A Note of Higher Order Factors.” Southern Marketing Association, Atlanta, 1993.

“Globalizing the Thinking of Business Students: Making Students Aware of Their Culture-Mandated Perceptual Bias.” In Great Ideas for Teaching Marketing 2nd and 3rd editions, edited by Lamb, Hair, and McDaniel (Cincinnati: South-Western Publishing Co., 1996)

Marketing Research, Study Guide, Division of Continuing Education, Louisiana State University Press, 1993.

Consumer Behavior, Study Guide, Division of Continuing Education, Louisiana State University Press, 1993.


Industry White Papers

“Estimating the Impact of Downside Flows Volatility on Hydroelectric Supply”—risk analyses for energy industry.

“A New Approach to Predictive Modeling of Executive Risk in the Energy Sector”—risk analyses for energy industry.

“Looks Aren’t Everything: How does Your Brand Compare?”—risk assessment for hotels.

“Promotional Baseline and Simulator for Incrementality Measurement and Planning”—industry non-specific methodological paper.

“Differential Treatment: Segmentation & Investment Matrix Allocation”—a technical document; the automotive industry.

“Propensity-Based Consumer Targeting”—a technical document; the automotive industry.

“Behavioral Classification—Latent Trait Description Segmentation Schema”— industry non-specific methodological white paper.

“Measurement of Differential Marketing Programs in Packaged Goods Industry”—strategic marketing and methodological paper.

“Self-Reported Data Capture Strategy for Consumer Packaged Goods Industry”—general guide.

“Analytic Planning, Implementation and Measurement Processes”—planning guide; financial services.

“CRM-Oriented Analytic Infrastructure for the Gaming Industry”—requirements-specific analytic blueprint.

“Robust Consumer Lifetime Value Segmentation”—strategic and methodological outline; hotel & casino industry.

“Consumer Target Assessor for Direct Salesforce”—sales optimization methodology; pharmaceutical industry.

“Consumer Loyalty Measurement in Database Marketing”—technical/statistical guide; consumer packaged goods industry.

What advice do you have for new students?

Develop strong data analytical skills. Even the historically soft occupations/areas, such as marketing, are more and more focused on turning data into decision-guiding insights, so much so that the demand for skilled data analysts far exceeds supply, and it is projected that it will continue to be so for the foreseeable future. The once-esoteric positions of predictive analytics or data scientist are now commonplace as companies thatas recently as few years agodid not think twice about data are now making the systematic utilization of data the centerpiece of their strategy.