Vintage Analytics and Data Warehouse Design

Ido Millet, Syed S. Andaleeb and John L. Fizel
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Ido Millet: Department of Management Information Systems, Pennsylvania State University, Erie, PA, USA
Syed S. Andaleeb: Department of Marketing, Pennsylvania State University, Erie, PA, USA
John L. Fizel: Department of Economics, Pennsylvania State University, Erie, PA, USA

International Journal of Business Intelligence Research (IJBIR), 2014, vol. 5, issue 2, 62-81

Abstract: Vintage Analytics is a useful technique for a variety of domains where performance depends on experience or age. However, this technique might be underutilized due to lack of awareness and due to difficulties in data preparation. This paper provides examples of Vintage Analytics, including one detailed scenario demonstrating benefits and typical challenges in the context of a sales database. It then proposes data warehouse design guidelines to address these difficulties.

Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jbir00:v:5:y:2014:i:2:p:62-81

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