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Financial Services · Customer Data

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.

The challenge

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.
The solution

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.
In practice

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.

Explore Ontology Based Data Platform
The result
  • Relationship managers and agents work from one accurate customer view instead of stitching records together by hand.

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