Data mining at a major bank: Lessons from a large marketing application

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Abstract

This paper summarizes experiences and results of productively using knowledge discovery and data mining technology in a large retail bank. We present data mining as part of a greater effort to develop and deploy an integrated IT-infrastructure for loyalty based customer management, combining data warehousing, and campaign management together with data mining technology. We have completed a first campaign where potential customers were selected using the new built data warehouse together with data mining. Because of the better insight we have used a decision tree as selection method.

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Hunziker, P., Maier, A., Nippe, A., Tresch, M., Weers, D., & Zemp, P. (1998). Data mining at a major bank: Lessons from a large marketing application. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1510, pp. 345–351). Springer Verlag. https://doi.org/10.1007/bfb0094837

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