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Banks rely on data for driving efficient promotional campaigns—but the challenge lies in how to identify the right time for a given product promotion and how to target customers with that specific need.

To do this, banks need a data system that responds in a real-time manner to customer interactions, and the use of stream processing is a great way to do so.

But this presents another issue—how can you add stream processing to your existing infrastructure to create an event-driven architecture, all in a cost-effective way?

Take this brief questionnaire on in-memory data platforms to find out via a case study that highlights how one bank used an event-driven architecture to increase revenue opportunities.