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Vintage Analytics and Data Warehouse Design

Author

Listed:
  • 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)

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.

Suggested Citation

  • Ido Millet & Syed S. Andaleeb & John L. Fizel, 2014. "Vintage Analytics and Data Warehouse Design," International Journal of Business Intelligence Research (IJBIR), IGI Global, vol. 5(2), pages 62-81, April.
    • Handle: RePEc:igg:jbir00:v:5:y:2014:i:2:p:62-81
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