Ontology-Based Single Customer View
The same customer exists as slightly different records in core banking, CRM and the mortgage system, so building one accurate view of a relationship means manually reconciling accounts that don't obviously belong together.
What stands in the way
The same customer exists as slightly different records in core banking, CRM and the mortgage system, so building one accurate view of a relationship means manually reconciling accounts that don't obviously belong together.
How Scrydon solves it
An ontology resolves customer, account and product records from every system into one entity graph, so a single customer means the same thing across the whole bank.
How this plays out
Core banking knows a customer by one account number, the CRM by a different contact ID, and the mortgage system by yet another reference — so producing one accurate view of a customer relationship today means someone manually matching records that were never designed to point at each other.
The ontology based data platform resolves customer, account and product records from every source system into a single entity graph, so a relationship manager or an agent preparing a recommendation starts from one accurate, current view of the customer instead of reassembling it from scratch each time.
Relationship managers and agents work from one accurate customer view instead of stitching records together by hand.
See how this works for your organisation
Let's map this financial services use case onto your environment, your data and your sovereignty requirements.