How machine learning and geospatial big data disrupt branch networks

Digital transformation represents a huge challenge for banks and their branch networks. However, geospatial big data, machine learning and predictive analytics offer promising opportunities for banks; enabling to provide their services at the right time and at the right place. In his column for the magazine of the German mutual saving bank, ‘Betriebswirtschaftliche Blätter’, Geospin CEO Sebastian Wagner explains, how exactly these methods can be exploited and how banks can optimize their location planning.
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Mit Geo-Big-Data zum optimalen Filialnetz