Case studies

Master data, proven in production

Representative deployments across regulated South African and multinational industries — banking, insurance and distribution. Each one below is anonymised and illustrative: a composite of the kinds of programmes MDM Studio supports, framed to show the challenge, the approach and the outcomes teams track.

Every scenario on this page is a representative deployment, not a named customer. Company descriptions are generic by design; metrics are indicative of the patterns the product enables, not audited figures from a specific installation.

MDM Studio Design Map Govern Trust
Banking Representative deployment · a South African retail bank

One golden customer across core banking, CRM and cards — with POPIA-grade masking

Challenge

The same customer existed three or four times over — separately in core banking, the CRM and the cards platform — with no reliable link between them. Stewards could not tell which record was authoritative, and sensitive identity fields were visible to teams that had no need to see them.

Approach

A single party model mastered across six source systems, scored match rulesets with human review, and per-attribute survivorship for the golden record. Sensitive-data governance classified identity attributes so restricted fields are hidden — not just masked — from users without clearance.

Outcome

A single, explainable golden customer with full cross-reference lineage back to every source, and serve-time masking that keeps regulated fields inside the right hands under a POPIA-aligned posture.

-63%
duplicate customer records after first master run
6 → 1
source systems consolidated into one golden customer
4×
faster steward triage with scored, explained matches
Insurance Representative deployment · a national insurer

Governed party and policy mastering with write-back and approval workflows

Challenge

Party and policy data drifted between administration, claims and broker systems. Corrections were made directly in downstream systems with no audit trail, so the same fix had to be repeated and nobody could prove who changed what, or why.

Approach

Party and policy domains mastered centrally, with change requests routed through review and approval before anything moves. Governed write-back pushes mastered values back to source systems under eligibility rules, approval gates and post-apply verification — every event captured in a tamper-evident audit trail.

Outcome

Corrections happen once, at the hub, and flow outward under governance. Approvers work from a clear queue, and every published change carries a complete, reviewable history.

-71%
manual re-keying of the same correction across systems
100%
of published changes carry an approval and audit record
2.5×
faster change-request turnaround through the workflow queue
Retail & Distribution Representative deployment · a multinational distributor

Product and supplier mastering with reference-data crosswalks and real-time serving

Challenge

Every region described the same products and suppliers with its own codes and category vocabularies. Consolidated reporting meant weeks of manual reconciliation, and no downstream system could ask the hub for a trusted value on demand.

Approach

Product and supplier domains mastered centrally, with governed reference-data crosswalks mapping each region's source vocabulary to a canonical code set held in immutable releases. A read-only serving API with revocable service tokens exposes mastered values and code lookups to downstream systems in real time.

Outcome

Regional codes reconcile automatically against one governed vocabulary, and applications consume trusted product, supplier and reference values live — instead of nightly extracts and hand-built mapping spreadsheets.

-80%
time to reconcile regional product and supplier codes
Real-time
serving of golden values via the read-only API
5×
more source vocabularies aligned through crosswalks
Industries we fit

Built for regulated, multi-source estates

Banking

Single customer and counterparty across core banking, CRM and cards, with sensitive-data governance for a POPIA-aligned posture.

Insurance

Party, policy and broker mastering with governed write-back and approval workflows over every change.

Retail & distribution

Product and supplier golden records with reference-data crosswalks and real-time serving to downstream apps.

Healthcare

Patient and provider mastering with strict clearance-based visibility and full lineage for every merged record.

Public sector

Citizen, entity and location mastering on self-hosted infrastructure you control, with tamper-evident audit trails.

Telco

Subscriber, account and product mastering across high-volume sources with scored matching and delta-load pipelines.

How we measure success

Outcomes you can see in the product

The numbers above aren't marketing figures pulled from a slide — they mirror the analytics MDM Studio surfaces in-product. Every deployment tracks its own progress against the same instrumentation, so success is measured, not asserted.

Match quality

Scored match rulesets with confidence evidence and cross-reference lineage show how duplicates fall and how much of the golden record is auto-resolved versus human-reviewed.

Data-quality scorecards

Rule-level scorecards and snapshots track quality over time by domain, entity and hierarchy tier — so improvement is visible where it actually matters in your structure.

Remediation MTTR

The closed remediation loop measures mean time to resolve exceptions, rework rates and campaign progress — honest tracking of how fast issues move from raised to resolved.

Weighing MDM Studio against your current stack?

See where a self-hosted, multi-engine, transparently-licensed hub fits — and where it honestly doesn't — before you commit.

Request a demo How it compares →