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Every bank would like to have a rich well of descriptive and predictive insight about customers, but big obstacles stand in the way. In most banks, customer information is scattered across disparate databases owned by different lines of business. The insights hidden in those databases should be revealed, shared and published across the institution, but at the same time, data must be kept strictly private and protected. Amid these realities, how do you get customer data under control? How do you transform it from information into insight? What do financial institutions gain from customer analytics, and how should it be implemented? These were the topics addressed by experts representing three different perspectives in a recent Webcast. This paper provides a summary of that Webcast.
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