Satiscan™Satiscan™ is an enhancement over traditional regression analysis in that it allows for the automatic modeling of inter-relationships between predictor variables in a key driver analysis. In many datasets there tend to be strong relationships between predictor variables that are usually ignored. Modeling them one at a time can be a tedious process. Satiscan™ has the ability to automatically search the dataset for the best set of relationships that can then serve to enhance the understanding of the dependant variable of interest. For more information about Satiscan™, see this white paper article in our White Paper Library.
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Register for TRC's latest research seminar - Tuesday, Oct 5th in the Yale Club of New York. Research 2.0: Innovative choice and Social Networks Methods. This one-day event will feature speakers from Columbia and Rice Universities, in addition to our very own Rajan Sambandam and Pankaj Kumar. The event will highlight new and interesting developments in choice techniques, text mining, and "Research 2.0". To learn more and register, click here. |
| TRC's White Paper Library offers, among others, various choice-related articles. Featured Choice-Related White Papers: How to improve your segmentation with Max-Diff Conjoint Analysis vs. Self-explicated Understanding choice in banking: Use of Discrete choice analysis Sign Up to receive TRC e-Newsletters |
