Data Processing: KontoSensor as an Application of Predictive Analytics

Abstract

This chapter introduces the KontoSensor, a digital service offered by Deutsche Bank since September 2018, as an example of data processing using predictive analytics. We present the motivation behind this digital service, the use cases and methods currently implemented, the way they have been created, and measures to increase the usage of the KontoSensor. With KontoSensor, Deutsche Bank offers a digital service to its clients to analyze their transactions on their current accounts using methods from predictive analytics and to inform them when irregularities are found. Twelve months after the start, 90,000 clients are already using this service and experiencing the results of data science firsthand.

Citation

Blache, R., Fetzer, L., Michel, R. and von Martens, T. (2021), "Data Processing: KontoSensor as an Application of Predictive Analytics", Einhorn, M., Löffler, M., de Bellis, E., Herrmann, A. and Burghartz, P. (Ed.) The Machine Age of Customer Insight, Emerald Publishing Limited, Leeds, pp. 199-210. https://doi.org/10.1108/978-1-83909-694-520211018