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Forecasting Software in Practice: Use, Satisfaction, and Performance

Author

Listed:
  • Nada R. Sanders

    (Department of Management Science and Information Systems, Raj Soin College of Business, Wright State University, Dayton, Ohio 45435)

  • Karl B. Manrodt

    (Department of Information Systems and Logistics, College of Business Administration, Georgia Southern University, PO Box 8152, Statesboro, Georgia 30460)

Abstract

Using survey data from 240 US corporations, we evaluated practitioners' use and satisfaction with forecasting software and its performance. Despite the many commercial forecasting software packages, only 10.8 percent of the respondents reported using them. Forty-eight percent reported using spreadsheets to make forecasts. Sixty percent reported being dissatisfied with forecasting software. However, we found that those who used commercial forecasting software packages had the best forecast performance, as measured by mean absolute percentage error (MAPE). Those using commercially available packages had errors 6.7 percent lower than those using spreadsheets and 17.2 percent lower than those who used no program. Also, they were more satisfied with their software than those using spreadsheets. In fact, users of forecasting software programs reported a 12.2 percent reduction in forecast error. We found that 61 percent of respondents routinely adjusted forecasts produced by software based on their judgment. Roughly 85 percent of respondents considered ease of use and easily understandable results the most important software features.

Suggested Citation

  • Nada R. Sanders & Karl B. Manrodt, 2003. "Forecasting Software in Practice: Use, Satisfaction, and Performance," Interfaces, INFORMS, vol. 33(5), pages 90-93, October.
    • Handle: RePEc:inm:orinte:v:33:y:2003:i:5:p:90-93
    DOI: 10.1287/inte.33.5.90.19251
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    References listed on IDEAS

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    Cited by:

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    15. Yalta, A. Talha & Jenal, Olaf, 2009. "On the importance of verifying forecasting results," International Journal of Forecasting, Elsevier, vol. 25(1), pages 62-73.
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    17. Philip Hans Franses, 2004. "Do We Think We Make Better Forecasts Than in the Past? A Survey of Academics," Interfaces, INFORMS, vol. 34(6), pages 466-468, December.
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