Title: Estimating the added value of data mining: a study for the Dutch Internal Revenue Service

Authors: Pieter W.G. Bots, Fred A.B. Lohman

Addresses: Delft University of Technology, Faculty of Technology, Policy and Management, PO Box 5015, 2600 GA Delft, The Netherlands. ' Faculty of Technology, Policy and Management, Delft University of Technology, PO Box 5015, NL-2600 GA Delft, The Netherlands

Abstract: This paper addresses the question of how the added value of data mining for an organisation can be defined and measured before major investments in data warehousing systems are made. It is shown how an organisation can develop a ||data mining template|| to assess whether data mining results are actionable, and subsequently estimate the added value of these results by evaluating policies based on them with the help of bootstrapping techniques. The ||data mining template|| and supporting tool that have been developed and tested in a case study within the Dutch Internal Revenue Service are generic for the class of ||rule-enforcing organisations||.

Keywords: actionability; added value; bootstrapping; case study; data mining; Internal Revenue Service; template; Netherlands.

DOI: 10.1504/IJTPM.2003.003989

International Journal of Technology, Policy and Management, 2003 Vol.3 No.3/4, pp.380 - 395

Published online: 10 May 2004 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article