Meet the data demands of personalized banking

Personalization in digital banking can be a powerful driver of customer satisfaction and retention, but actually delivering personalized banking services requires the ability to process and analyze very large datasets at high speed. Payment and basic account functions must be combined with data from investment portfolios, mortgages, and insurance for a complete picture of the customer profile.

Download this paper to learn:

• How digital banking has progressed over the last decade, including key research findings
• What institutions need to consider in their data architecture in order to successfully deliver the personalization that today’s customers expect
• How Redis Enterprise meets performance, scalability, and security requirements for the future of digital banking