As an Identity Intelligence provider, our objective was to identify an entity resolution solution that offered explainability without the necessity for complex rule configurations within our cloud environment. Senzing’s entity resolution effectively meets these requirements through its sophisticated and developer-centric APIs. They have proven to be exceptional partners, assisting us in addressing complex inquiries, facilitating the ingestion of millions of records, and delivering comprehensive Identity Intelligence and explainability for all our organization’s use cases.

Ultimately, it’s the flexibility that stands out: we can embed the Senzing engine into any solution and within virtually any architecture or cloud platform. Entity Resolution is a crucial foundational capability for solutions that range from traditional master data management and data quality to fraud and financial crime, customer 360 and others - so flexibility of deployment is key. The fact that Senzing is very well documented SDK, we can also easily leverage it using AI Agents, deploy it on any cloud platform, have full control over how to scale it and at a very low market price point.. Finally, from an accuracy point of view, Senzing works virtually right out of the box - we've rarely had to reconfigure any of the inbuilt features and principles.

We have used Senzing as the entity resolution engine for a large-scale public sector data programme. Our client has citizen datasets scattered across more than 15 departments, and Senzing has helped us link records across those departments. Some of the challenges we have faced include name variations, date-of-birth typos, and incorrect identifiers, and Senzing has helped us overcome these challenges to build a 360 view of the citizens along with identifying possible data quality issues.