Master Data You Can Trust — Duplicates Found, Golden Records Built
Duplicate and inconsistent master data inflates stock, splits spend, and corrupts reporting. deKorvai detects near-duplicates that exact matching misses, merges them into governed golden records, and keeps every system in sync — for customers, vendors, and materials.
every run monitored · every record audit-logged, source to target
Master data management (MDM) is the practice of keeping an organization's core records — customers, vendors, materials, products — accurate, consistent, and de-duplicated across every system. The hardest part is duplicates that don't look identical.
deKorvai finds those near-duplicates with AI fuzzy matching (Levenshtein, Jaro-Winkler, and phonetic encoding), merges them into a single golden record, and after approval updates the downstream transactions — blocking the duplicate, updating BOMs, and recreating open orders.
Duplicate master data is expensive — and hard to see
The same customer, vendor, or material entered three slightly different ways looks like three records to every system that reads it. Exact-match tools never catch it; the business pays for it every day.
Duplicates hide behind small differences
"Hex Bolt M10x50" and "Hexagonal Bolt M10 x 50mm" are the same part. Character-for-character matching treats them as two, so they multiply unchecked.
The business pays in real money
Duplicate materials inflate inventory and split purchasing; duplicate customers fragment spend and skew reporting. The cost is quiet but constant.
Manual dedup doesn't scale
Reviewing hundreds of thousands of records by hand is slow, error-prone, and never finishes — new duplicates arrive faster than they're cleared.
Merging blindly breaks transactions
Delete the wrong record and its open POs, sales orders, and BOMs break. Safe merging has to preserve and re-point every link.
From messy master data to governed golden records
AI fuzzy matching
Uses Levenshtein, Jaro-Winkler, and phonetic encoding to detect near-duplicate records that exact matching misses.
Duplicate clustering
Groups likely-duplicate records with a match-confidence score for review.
Golden records
Generate a golden record for each confirmed set of duplicates, retained as the surviving record.
Downstream updates
Blocks the duplicate material, updates BOMs, and recreates open POs, sales orders, PRs, and planned orders on the golden record.
Standardization
Standardize master data on the way to a golden record, so the surviving version is clean and consistent.
Impact analysis
See the downstream impact of a merge before it happens, with a report for review and sign-off.
Approval workflow
Golden data and SAP updates are confirmed through approval steps — nothing merges or writes back without sign-off.
Impact analysis report
Generates a report on the impact of the changes for review before SAP is updated.
Stock transfer
Handles stock transfer as part of consolidating duplicates onto the golden record.
Duplicates become governed golden records
Before — fuzzy duplicates
| Material | Description | Plant |
|---|---|---|
| 100001 | Hexagonal Bolt M10x50 SS304 | 1000 |
| 100247 | Hex Bolt M10 x 50mm Stainless Steel 304 | 1000 |
| 100512 | Hex. Bolt M10*50 SS-304 | 2000 |
| 100089 | Bearing Ball 6205-2RS SKF | 1000 |
| 100634 | SKF Ball Bearing 6205 2RS | 2000 |
After — golden record
| Golden ID | Description | Merged from | Match |
|---|---|---|---|
| 100001 | Hexagonal Bolt M10x50 SS304 | 100247, 100512 | 94.2% |
| 100089 | Bearing Ball 6205-2RS SKF | 100634 | 91.7% |
Duplicates merged, golden record retained. After approval, linked open orders are recreated on the surviving record.
Standardize → Detect → Merge → Approve → Re-point
Standardize
Extract and standardize master data for comparison.
Detect
Fuzzy matching clusters near-duplicates with confidence scores.
Golden record
Generate golden records from the confirmed duplicates.
Approve
Impact analysis & approval before any write-back.
Re-point
Update linked POs, SOs, PRs & BOMs; block duplicates.
What clean master data is worth
Lower inventory & spend leakage
Collapsing duplicate materials and vendors cuts inflated stock and fragmented purchasing.
Reporting you can trust
One record per real entity means analytics and spend reporting reflect reality, not duplication.
Cleansing that scales
AI matching clears hundreds of thousands of records far faster than manual review — 4x faster in practice.
Safe, governed merges
Impact analysis, approvals, and transaction re-pointing mean merging doesn't break open documents.
Migration & consolidation ready
De-duplicated master data is the foundation for a clean migration or system merge.
Confirmed before write-back
An impact-analysis report and approval steps gate every SAP update, so nothing changes without sign-off.
Built for the records that matter
MDM runs on deKorvai's capabilities
This solution is delivered by the deKorvai platform — explore the capabilities behind it.
120,000+ material records cleansed with AI fuzzy matching
Near-duplicate material master data across plants and storage locations — scanned with AI fuzzy matching, clustered, and merged into golden records.
Master data management, answered
See your duplicates found in one demo
Bring a sample of your master data and watch deKorvai cluster the near-duplicates and build the golden records — live.
Book a DemoA working session on your master data