Estimating the added value of data mining: a study for the Dutch Internal Revenue Service
Pieter W. G. Bots, Fred A.B. Lohman · International Journal of Technology Policy and Management · 2003
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".