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 Banking POV: Framework for Building a Modern Data Foundation

Leading financial services companies are embracing sweeping digital transformation strategies, including next best experience, personalization, omni-channel consistency, and compliance with customer-centric regulations such as FACTA, KYC, GDPR and CCPA. The common denominator underpinning all of those initiatives is a solid data foundation and a Customer 360. Most financial institutions have tons of client information residing across many systems and silos, but customer profiles tend to be less than 20% complete and lack insights from unstructured data, such as web chats, phone notes, and emails. Getting to 100% doesn’t happen with conventional matching capabilities or from raw data in a data lake. To take full advantage of all data, it requires modern capabilities including Machine Learning, Natural Language Processing, graph visualization and more.

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David Corrigan, VP Products, Customer Insights at Informatica and Peter Ku, VP & Chief Industry Strategist, Financial Industry, informatica will share a framework for how to build an intelligent Customer 360 and give examples of how enterprises are acting on complete 360 views of their customers.