The same customer appears three times in your CRM, twice in billing, and once in support — each with a slightly different name, email, or address. Products have different codes in your e-commerce store, warehouse system, and ERP. Supplier details are copied between systems and drift apart. Every report, integration, and AI project has to fight through the mess.
Master data management (MDM) fixes this by creating one trusted version — a "golden record" — of your most important business entities, and keeping it consistent across every system that uses it.
Our master data management services help you design and implement MDM at the right scale: from a focused customer or product master for a growing company to a multi-domain MDM program across several systems.
What are master data management services? Master data management (MDM) services create and maintain a single, trusted version of core business data — such as customers, products, suppliers, locations, and employees — across all systems. MDM providers profile and clean the data, design matching and merging rules, define survivorship rules that build a golden record, set up governance and stewardship workflows, and synchronize the mastered data back to CRM, ERP, e-commerce, and analytics systems.
Master Data Management at a Glance
Question | Answer |
|---|---|
What it is | One trusted golden record for customers, products, suppliers, and other core entities across all systems |
Core deliverables | Data profiling, data model, match and merge rules, survivorship rules, golden records, stewardship workflows, system synchronization |
Common domains | Customer, product, supplier, location, employee, asset |
MDM styles | Registry, consolidation, coexistence, centralized |
Tools | Informatica MDM, Reltio, Profisee, Semarchy, Microsoft-based and warehouse-native approaches, custom MDM built on your data platform |
Engagement models | MDM assessment, single-domain MDM implementation, multi-domain program, ongoing stewardship support |
Signs You Need Master Data Management
Duplicate customers everywhere. Marketing emails the same person twice; sales and support see different histories.
Product data doesn't match. Prices, descriptions, and codes differ between your store, warehouse, and finance systems.
Reports can't be reconciled. Customer counts and revenue by customer never match between systems.
Integrations keep breaking. Systems disagree about IDs, so data can't be joined reliably.
Onboarding data is slow and manual. New suppliers or products are entered into several systems by hand.
AI and personalization underperform. Models can't learn from customers whose history is split across records.
Our Master Data Management Services
MDM assessment and strategy
We identify which domains matter most, map where master data lives and how it flows, and recommend the right MDM style and tooling for your scale.
Data profiling
We measure duplication, completeness, and inconsistency in each source, so you know the size of the problem before you start.
Master data model
We design the golden record structure for each domain, including the attributes, hierarchies, and relationships you need.
Matching and merging
We build rules — exact, fuzzy, and probabilistic — that recognize when records in different systems refer to the same customer, product, or supplier.
Survivorship rules
We define which source wins for each attribute, such as the billing system for addresses or the CRM for contact preferences, so the golden record is consistently built from the most reliable values.
Data cleansing and standardization
We standardize names, addresses, phone numbers, codes, and categories before matching, which greatly improves match accuracy.
Stewardship workflows
We set up review queues where data stewards approve uncertain matches, fix errors, and manage new records, with clear ownership through our data governance model.
System synchronization
We publish golden records back to CRM, ERP, e-commerce, and analytics systems, or expose them through an API, using our data integration approach.
MDM for analytics
We provide mastered dimensions — customer, product, supplier — to your data warehouse, so reports finally reconcile across systems.
MDM Implementation Styles
Style | How it works | Best for |
|---|---|---|
Registry | Matches records and keeps a cross-reference index; source systems stay unchanged | Analytics and reporting with minimal disruption |
Consolidation | Builds golden records in a central hub for reporting; sources are not updated | Single customer or product view for analytics |
Coexistence | Golden records are built centrally and synchronized back to sources | Improving data quality across operational systems over time |
Centralized | The MDM hub becomes the system where master data is created and maintained | Organizations ready to standardize data entry in one place |
Most growing companies start with consolidation or coexistence, then move further as value is proven.
How It Works
Step 1: Choose the domain
We start with the domain causing the most pain — usually customers or products.
Step 2: Profile the sources
We measure data quality and duplication in each system.
Step 3: Design the model and rules
We agree the golden record structure, match rules, and survivorship rules with your team.
Step 4: Build and test
We implement matching, merging, and stewardship workflows, and test accuracy on your real data.
Step 5: Synchronize
We connect golden records to your systems and data warehouse.
Step 6: Govern and expand
We hand over stewardship processes and extend MDM to more domains when ready.
What You Get
Golden records for your priority domain
Documented match and survivorship rules
Measured improvement in duplication and completeness
Stewardship workflows for ongoing quality
Synchronized systems and mastered warehouse dimensions
Documentation and training for data stewards
Who This Is For
B2B companies | Retail and e-commerce | Multi-system organizations | Companies after mergers |
|---|---|---|---|
Need one view of each customer account across sales, billing, and support | Need consistent product data across store, warehouse, and marketplaces | Run CRM, ERP, and other systems that each hold their own copy of key data | Need to combine customer and product data from merged businesses |
Why Work With Codersarts
MDM projects often fail by trying to master everything at once or by buying a heavy platform before the problem is understood. We start with one domain, measure the data first, tune matching on your real records, and choose tooling that fits your scale — including warehouse-native or custom approaches when a large MDM platform isn't justified.
Frequently Asked Questions
What is master data management?
Master data management is the practice of creating and maintaining one trusted version of core business entities — customers, products, suppliers, and others — and keeping it consistent across all systems.
What is a golden record?
A golden record is the single, best version of an entity, built by matching duplicate records across systems and choosing the most reliable value for each attribute.
What's the difference between MDM and data quality?
Data quality improves the accuracy and completeness of data in general. MDM focuses on core entities and resolves duplicates across systems into one golden record. Strong data quality practices make MDM far more accurate.
Do we need an MDM platform like Informatica or Reltio?
Not always. Large, multi-domain programs often benefit from a dedicated platform. Growing companies can often achieve a reliable customer or product master with warehouse-native or custom matching, at much lower cost.
Which domain should we master first?
Usually the one causing the most business pain — most often customers or products. Starting with one domain proves value quickly.
How accurate is automated matching?
It depends on data quality and the rules used. We measure match accuracy on your data, tune the rules, and route uncertain matches to human stewards for review.
How long does an MDM implementation take?
A single-domain implementation typically takes a few months, including profiling, rules, testing, and synchronization. Multi-domain programs are delivered in phases.
How much does master data management cost?
An assessment is a fixed-scope engagement. Implementation cost depends on the number of domains and systems, data volume and quality, and the tooling chosen.
Related Data Services
Data Warehouse Consulting — use mastered data for reliable reporting
Data Migration — move clean, mastered data into new systems
Data Architecture Consulting — fit MDM into your wider data platform
Business Intelligence — reports that finally reconcile across systems
Ready for One Trusted View of Your Business?
Tell us which entity causes the most trouble — customers, products, or suppliers — and which systems hold it. We'll outline an MDM approach and what it would take.
📧 contact@codersarts.com · 💬 WhatsApp available · 🌍 Serving clients worldwide