At its core, EY Nexus for Banking is a cloud-native, highly resilient platform comprising modular architectural building blocks. These building blocks work in harmony to absorb transactional data from banks, or third parties through open banking, to provide contextual and tailored insights. Using advanced machine learning models, it generates real-time, tailored insights and integrates domain-specific data services into banks’ channels in real-time, within context.
A modular approach to generating in-the-moment insights
The Nexus platform’s flexibility allowed us to employ enriched contextual and transaction data in response to streaming events, developing actionable insights for the right customers in the right channels, and at the right time.
Crucially, these customer journeys weren’t just hypothetical, but were based on a clear understanding of customers’ recent financial interactions and histories. The underpinning platform collated fit-for-purpose data from various sources, including real-time event streams, to address each customer’s unique set of needs, based on marketing preferences and consent.
This enduring, sustainable capability to identify priority customer journeys marked a defining moment for the bank and a direct departure from building campaigns around specific banking products.
Now, customers are nudged along their preferred banking journey via a highly sophisticated set of enabling components (i.e. building blocks) that are assembled to drive a unique approach for every customer. This customer-centric flexibility means the platform propels business prioritized journeys for today (e.g., home loans or cards) while supporting emerging use cases for tomorrow (e.g., fraud analytics or deposits) – among many other adaptive, personalized solutions.
