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.
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.
