Case Study: DekaBank
- IBM SPSS Modeler
- IBM SPSS Statistics
“This is a clear result. It shows what can be achieved through an intelligent data analysis and customer approach. We’ve used IBM SPSS Statistics and IBM SPSS Modeler to run other campaigns since this one and they have all achieved good results.”
Dirk Meggert, Manager of CRM and Database Marketing, DekaBank
DekaBank improves individual customer contacts
Marketing mutual funds more effectively with predictive analytics
DekaBank is a central institution of the German Savings Banks Financial Group and operates in the wholesale banking and mutual fund segments. With a group balance sheet total of €115 billion ($144.2 billion) at the end of 2005, assets under management of more than €140 billion ($175.5 billion) and equity capital of €3.7 billion ($4.6 billion), it is one of Germany’s leading financial services providers.
DekaBank needed a data mining tool that could help savings banks within the German Sparkassen Group decide which customers would be most likely to purchase certain investment funds.
DekaBank selected IBM SPSS Statistics and IBM SPSS Modeler to differentiate between the range of services and products that can be offered to various banks’ target groups.
By using IBM SPSS Statistics Base and IBM SPSS Modeler, DekaBank has gained the ability to:
- Better determine the characteristics of typical purchasers
- Target the customers who are most interested in certain mutual funds
- Optimize marketing
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