Domain modelling
Agree what a customer, product, supplier, or employee actually is across departments, and model it — usually the hardest part, and the part that decides whether the rest works.
Solutions · Data & Analytics
Master Data Management
The same customer appears in four systems spelled four ways, product codes don't match between sales and finance, and every report starts with a clean-up. Symetriz builds one trusted version of your customers, products, suppliers, and employees on Azure — without replacing the systems that create the data.
The problem
Which record is the real one?
Duplicates everywhere
The same customer or supplier exists several times across CRM, ERP, and billing, each slightly different.
How we fix it: Matching and de-duplication tuned against your real data.
No single source of truth
When systems disagree, nobody can say which record is right, or why.
How we fix it: Golden records with survivorship rules you can inspect and change.
Clean-ups that don't last
One-off data cleansing projects decay back to the same mess within months.
How we fix it: Stewardship workflows that keep quality from drifting.
The solution
One trusted record for every customer and product
- Golden records built from the systems you already run — no rip-and-replace
- Matching, survivorship, and hierarchy rules you can inspect and change
- Stewardship workflows, so quality holds after go-live
One version of the entities that matter
The same customer in four systems, spelled four ways, is the problem MDM exists to solve.
Matching & deduplication
Deterministic and fuzzy matching tuned against your real data, so genuine duplicates merge and distinct records stay apart.
Survivorship & golden records
Explicit rules for which source wins per field, producing a golden record you can defend when someone asks why it says what it says.
Keeping it clean after go-live
An MDM project that ends at go-live decays back to the state that justified it.
Stewardship workflows
A queue and a review path for the matches no rule should decide automatically, so data owners resolve exceptions instead of filing tickets.
Syndication back to consuming systems
Mastered records published back out to the CRM, ERP, warehouse, and reporting layer, so the clean version is the one people actually work in.
Reference data & hierarchies
Shared code lists, org structures, and product hierarchies managed in one place and versioned, rather than maintained per spreadsheet.
Ready when you are
Same customer, four systems, four spellings?
Tell us which entities hurt most and which systems create them, and we will scope a mastering approach against your real data before any platform decision.