New Data Sources Mean New Insight: Leveraging Market Research Data For Better Forecasting
You will learn:
- Case study of how National Consumer Panel data improved forecasting when used for predictive modeling
- How to target customer segments using predictive analytics of panelist behavior
- How to use comparative evaluations to adapt changes in supplier inputs
- How to make critical business decisions using analytics to optimize quality and cost considerations
- Practical insight into using market research data you can use in your own forecasting/analytics
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Thomas Schleicher
Vice President, Measurement/Data Analytics
National Consumer Panel (a joint venture of Nielsen/IRI)
Thomas has led the Measurement/Data Science team at National Consumer Panel (NCP) for 9 years. Prior to his tenure at NCP, Thomas held a variety of positions with client-side manufacturers as well as smaller consulting companies. These included two stints at Bayer HealthCare where he focused on pharmaceutical market research and forecasting. He also worked at Ipsos-ASI and smaller consulting companies with an emphasis on marketing analytics and forecasting. He has also been a lecturer/adjunct professor, most recently having taught courses on social research methods, statistics and social behavior at Quinnipiac University. After earning his PhD in Experimental Social Psychology from the University of Wisconsin-Milwaukee, Thomas continued his life-long learning quest by earning a certificate in Predictive Analytics from the University of California-Irvine.
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