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Master Data Management

Consolidate records through accountable review

Matching policies identify candidates. Stewards inspect sources and decide whether to merge or keep records separate.

How it works

Inspect records before a decision

Select a source to inspect its values and review context.

MERGE REVIEW

ERP source

Supplier
Calder & Rowe
Source identifier
S-204

Inspect alongside the candidate source before deciding.

The capability

Evidence before consolidation

Records from multiple sources may describe the same entity.

Autonera supports matching configurations, a merge review worklist and a side-by-side golden-record inspector. Merge, keep-separate and unmerge actions include downstream-write safeguards.

Problems it solves

Where this work usually breaks down

01

Duplicate records

Sources describe the same entity differently.

02

Unexplained decisions

Consolidation needs a recorded basis.

Functional capabilities

What Match & Merge includes

Matching policies
Configure matching per entity type.
Review worklist
Inspect candidates before deciding.
Source comparison
Review contributing values side by side.
Reversible merges
Merge, keep separate or unmerge with safeguards.

In industrial operations

A steward reviews supplier duplicates

Two systems contain similar supplier records.

  1. Review the candidate.
  2. Inspect sources.
  3. Decide merge or keep separate.
  4. Retain the disposition.

Result: The decision is attributable and reviewable.

Autonomous operations

How autonomous execution changes match & merge

Matching supports candidate discovery while stewards decide dispositions.

Agents carry out

  • Identify candidates
  • Present evidence

People decide

  • Decide dispositions
  • Review unmerges

Evidence recorded

  • Source values
  • Audit history

Buyer FAQs

Questions evaluators ask

Who decides candidate dispositions?

Stewards decide through the merge review worklist.

Can records be kept separate?

Yes. Keep-separate is a supported action.

Can merges be reversed?

Unmerge is supported with downstream-write safeguards.

Are specific scoring algorithms promised?

No. This guide covers matching configurations and review, not named algorithms or automatic score thresholds.

How are values chosen?

Versioned, testable survivorship rules govern competing source values.

Your next step

See Match & Merge on data like yours.

Bring a real file, catalog or record set. We will walk through how Autonera would handle it and where your team keeps the final say.

Book a Demo