A Data Mining Support Environment and its Application on Insurance Data

M. Staudt, J.-U. Kietz and U. Reimer

Huge masses of digital data about products, customers and competitors have become available for companies in the services sector. In order to exploit its inherent (and often hidden) knowledge for improving business processes the application of data mining technology is the only way for reaching good and efficient results, as opposed to purely manual and interactive data exploration. This paper reports on a project initiated at Swiss Life for mining its data resources from the life insurance business. Based on the Data Warehouse MASY collecting all relevant data from the OLTP systems for the processing of private life insurance contracts, a Data Mining environment is set up which integrates a palette of tools for automatic data analysis, in particular machine learning approaches. Special emphasis lies on establishing comfortable data preprocessing support for normalised relational databases and on the management of meta data.

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