Why Hasn't Entity Resolution Been Solved Yet?

We’ve spoken to hundreds of companies across many different industries: financial services, healthcare, and retail - all of which faced the same struggle integrating their data.

There are existing data matching or entity resolution tools out there but they too often fall short and are costly to implement. The challenge always boils down to dealing with the nuances of data. These platforms simply can’t take all potential business-specific nuances into account. Then users hit a wall in their chosen entity resolution tool and turn to hand-crafting custom solutions that are too specialized and don't extend to other problems.

Home-grown solutions require significant up front investment before they reach production. Even when these solutions do succeed, they then lead to scalability issues, auditing challenges, and lack maintainability.

We started ADI to solve these challenges.

A Platform Approach:

“ADI is doing to data matching what Airflow did to ETL” – Anonymous Influencer in the Data Community.

While it is tempting to create the world’s best algorithm for data matching, we believe that a monolithic algorithm will never be the optimal solution. Our core thesis is that specialized algorithms designed to solve very specific matching use cases will outperform monolithic approaches. For these reasons, we foresee the number and variety of algorithms exploding as companies go beyond fuzzy matching, for example, and target high fidelity matching with algorithms that are customized to the use case.

This is why we are taking the platform approach to matching. Whether you are matching company names, organizational hierarchies, securities, brands or other data attributes, our platform allows users to flexibly compose matching solutions to address any unique challenge. Pipelines that scale, can be customized and still retain auditability are coupled with pre-built workflows for common operational tasks, such as override management and clustering. ADI is the single platform for building, orchestrating and operating your data matching pipelines.

As the demand for data continues to grow at an unprecedented rate, we believe integrating data is the first step toward realizing value. Resolving data matching challenges is central to the problem, and leveraging a platform that allows you to match data at scale is becoming a prerequisite.

Don’t let poor data integration be a drag on your business, one mis-match at a time.