Our Master Data Engine resolves the records that describe the same real-world customer, supplier, or part across every source you own, using rules your stewards can read, review, and change without waiting on a developer.
Every organization past a certain size has the same company sitting in four systems under four slightly different names. MDE™ decides which records are the same thing, shows its reasoning, and leaves a trail you can audit.
Every system describes a customer differently. MDE™ conforms each source onto a single agreed structure first, so records are compared like for like instead of guessed at across mismatched fields.
Finds the records that describe the same real-world entity, whether they sit in separate systems or duplicate each other inside one, and records which rule found each pair.
Pairs that look plausible but are not certain go to a person instead of being silently merged or silently dropped. Ambiguity becomes a decision somebody owns.
Each record carries its origin: the system it came from, the object, and the key. Any answer the engine gives can be traced back to the source that produced it.
Matching rules live in reviewable configuration, not buried in code. They can be compared, approved, and promoted from development to production without being rewritten on the way.
All processing happens in your warehouse. Rules and metadata are the only things that move, so MDE™ adds no new place for your business data to sit.
Our proprietary IP is built to work together. Each engine answers a question the others cannot, and none of them requires you to adopt the other two.
The Data Quality Engine scans the estate against rules across every quality dimension, logs each violation in detail, and drives the open count down.
The Master Data Engine resolves records that refer to one real-world entity across systems, so counting your customers stops being an interpretation.
The Governance Operating System puts councils, stewardship, and certification around both, so the answers have owners and the decisions have a record.
Master data management is the practice of deciding which records across your systems describe the same real-world thing, a customer, a supplier, a part, and then keeping that decision consistent everywhere it matters. MDE™ is our proprietary engine for the resolution step. It conforms each source onto one agreed structure, then identifies the records that refer to the same entity, whether they sit in different systems or duplicate each other inside a single one.
A warehouse faithfully stores what each system told it. It does not decide that the customer in your ERP and the customer in your CRM are the same company. MDE™ makes that decision explicitly, with rules your team can read, a review queue for the cases that are genuinely ambiguous, and lineage on every record so any match can be traced back to the source that produced it.
Nowhere. Every comparison runs inside your own platform, as work your warehouse performs on data that never leaves it. Only rules and metadata cross the boundary, which means MDE™ adds no new place for your business data to sit and no new copy to secure.
Yes, and that is the point. Rules live in reviewable configuration rather than buried in code, so they can be read, compared, and approved like any other controlled change. Stewards author them through a guided interface with AI-assisted drafting that proposes a starting point from a table you already have, and a person reviews and approves every rule before it takes effect.
Most organizations cannot answer that without a manual reconciliation that takes weeks and is stale the day it lands. MDE™ answers it with rules your team can read and evidence you can trace. Tell us which systems disagree and we will show you what resolution looks like.
