Our experience processing hundreds of billions of B2B transactions, has left us well placed to understand the complexity and inconsistency that exists between financial systems and across business records.
With the abundance of business data, basic questions like: “What is that company’s credit score?” or “Who should we speak to at that business?” are surprisingly difficult to answer…
You’d think these are simple lookups.
But in practice we found disparate systems, disconnected records, inconsistent naming—and poor search tools—turn basic questions into time-consuming detective work.
Third-party data companies like D&B, ZoomInfo and Moody’s don’t make it easy
All too often, you search for a business… and get five close-but-not-quite results.
Different domains. Slight spelling differences. Locations that look familiar—but aren’t a match.
Now your team is:
It’s slow.
It’s repetitive.
And it pulls your team away from more strategic work.
Why does this happen?
Most business systems were built to store data—not to connect it.
They aren’t designed to resolve corporate hierarchies, legal entities, brand aliases, and people relationships into a single, trusted view. And even third-party search tools often surface incomplete or conflicting records—resulting in duplicate entries, silos, or inaccurate insights.
These aren’t just operational annoyances. They undermine confidence in the data, they tie teams for days and prevent business decisions from being made.
It’s Time to Join the Dots
More teams are adopting entity resolution strategies that go beyond fuzzy matching and it’s why we built SmartMatch.
SmartMatch is an AI-powered engine that connects fragmented records across systems and third-party data sources like Dun & Bradstreet, ZoomInfo, and Moody’s with over 98% accuracy. Instead of relying on fuzzy search or manually reconciled records, it builds a clean, trusted “golden record”—linking companies and hierarchies automatically.
It’s delivering staggering results.
Compared to the data matching services of a leading provider, SmartMatch reduced manual review required to just 2% of records. With the provider’s search tool, every record had to be painstakingly checked due to the high volume of inaccurate and inconsistent results.
SmartMatch removes the detective work and a lot less time is wasted cleaning up the data in your systems.
We’d be happy to walk you through how SmartMatch works and how it could fit into your current data processes. Get in touch for a short demo or discovery chat.
