This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 615
Type: Topic Contributed
Date/Time: Thursday, August 5, 2010 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistics and Marketing
Abstract - #308167
Title: Data Augmentation by Updating Long-Term CRM Models with Day-Specific Meteorological Conditions
Author(s): Philippe Baecke* and Dirk Van den Poel+
Companies: Ghent University and Ghent University
Address: Department of Marketing, Gent, International, 9000, Belgium
Keywords: data augmentation ; CRM ; customer intelligence ; meteorological variables ; predictive performance
Abstract:

In the past decades CRM models have become important decision support systems for management. These models can help to predict future sales and rank customers based on their predicted profitability. During recent years, the rise in computational power makes it possible to update long-term CRM models on a daily basis. This enables researchers to include day-specific meteorological conditions, which is of relevance to predictions of consumption levels of products sensitive to climatic conditions. In this study, we present a methodology to include this kind of data in an efficient way and increase the predictive performance of CRM models.


The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.

Back to the full JSM 2010 program




2010 JSM Online Program Home

For information, contact jsm@amstat.org or phone (888) 231-3473.

If you have questions about the Continuing Education program, please contact the Education Department.