Emerging banking strategies — next-best offer, next-best-action, predicting and preventing churn, maximizing customer value — require real-time or near real-time data hubs as a foundation. So how do you efficiently aggregate assorted customer data in an effective manner?
Read this use case to learn about challenges in rethinking data management mechanisms, and learn how to employ data analytics to glean insights from often disparate customer data sources, such as data hubs to:
Provide a holistic, real-time view of customer profiles and preferences
Work across all products, systems, devices and interaction channels
Deliver a consistent, personalized, context-specific and relevant experience.
