Master Data Management Services That Deliver a Single Source of Truth
Master data management (MDM) services are the ongoing governance, cleansing, and stewardship of an enterprise's core data domains, supplier, customer, material, and product, so every system works from one accurate, trusted golden record.
Bad master data quietly drives ordering errors, reporting gaps, and poor decisions across every system. InfoSun runs supplier, customer, and material master data as a managed service, with experts setting the rules and AI agents cleansing and matching records at scale under supervision. You get one trusted source of truth and governance that keeps it clean.
What we run in Enterprise Data Management
Services in Enterprise Data Management
Each service runs on the same human-governed, AI-native operating model. Explore any one for what it covers, the outcomes it drives, and how it is delivered.
What the work delivers
Cleansing, matching, and stewardship keep master data accurate across systems.
One trusted golden record makes analytics and reporting dependable.
Accurate supplier, customer, and material data reduces ordering and fulfillment errors.
Clear policies, ownership, and quality rules keep data trustworthy over time.
Typical ranges across supply chain, logistics, and enterprise engagements, baselined against your current numbers at the start.
One operating model, from first workflow to full scale
Choose the processes together, and analyze them first
Stand up the team, governance, and KPIs
Where supervised AI suits the work, and where it does not
Agents draft and perform; your people approve
Tune against live KPIs with your team
Runs on Manhattan, SAP EWM, and Blue Yonder, plus your TMS and ERP. No rip-and-replace.
Build alone, contract it out, or run it with InfoSun
| Build in-house alone | Contract it out | Run it with InfoSun | |
|---|---|---|---|
| Speed to value | Slow ramp: hire, tool, and train first | Fast start | Fast start, on the systems you already run |
| Who owns the capability | You, eventually | The vendor | You: playbooks, models, and process transfer to you |
| Process knowledge and data | Stays in-house | Accumulates with the vendor | Stays in your systems and your data |
| AI in the operation | You build it yourself | On the vendor's roadmap | AI-native from day one, human-supervised |
| Measured on | Effort and milestones | Activity and SLAs | Outcomes against your baseline |
83% of global capability centers are engaging generative AI and 58% are building agentic capabilities.
EY GCC Pulse, 2025. Market context, not InfoSun results.
You see the number on your own systems
No logos to borrow, no invented results. We prove value the only way that counts: on your baseline, on your dashboards.
- 1Baseline your numbers
We measure your current cost, accuracy, and service together at the start, so every target is grounded in your reality.
- 2Agree the target first
We set the outcome numbers with you before work starts. No moving goalposts.
- 3Run it on one site
We prove the model on a single workflow or site before scaling, so risk stays small.
- 4Report on your dashboards
You see the movement on your own metrics, monthly, not on ours.
We run on the WMS, TMS, and ERP you already own.
AI agents propose, your experts approve. Never a black box.
Get the baseline and business case before you commit.
Measured on cost, accuracy, and decision speed, on your P&L.
Frequently asked questions
What is master data management and why does it matter?+
Master data management (MDM) is the discipline of creating and maintaining one accurate, consistent version of core business data, such as suppliers, customers, and materials, across every system. It matters because bad master data drives ordering errors, reporting gaps, and poor decisions. Clean, governed master data is the foundation for reliable analytics and automation.
What is the difference between MDM and data governance?+
Master data management is the operational work of creating, cleansing, and maintaining the data itself. Data governance is the framework of policies, ownership, and rules that decides how data is defined and controlled. You need both: governance sets the standards, and MDM executes them so the data stays accurate over time.
What are the master data domains?+
The common master data domains are supplier or vendor, customer, material or product, and finance, such as the chart of accounts. Many enterprises also govern employee and location data. Each domain needs its own definitions, stewardship, and quality rules to stay a reliable single source of truth.
How do you create a golden record?+
A golden record is created by consolidating data for one entity from every source, removing duplicates, resolving conflicts against defined rules, and enriching gaps. Experts set the matching and survivorship rules while AI agents dedupe and standardize records at scale under supervision. The result is one trusted record every system can rely on.
Can master data management be outsourced?+
Yes. Master data management can run as a managed service where a partner handles cleansing, stewardship, and governance against your standards. This keeps the capability under your control while a governed center does the ongoing work, supported by AI agents for matching and quality checks. The enterprise owns the data, the rules, and the outcomes.
Written and reviewed by the InfoSun operations team. Last updated July 14, 2026.
Why rent capacity when you can own your capability?
In a 30-minute assessment we map one high-cost workflow against your baseline and show the path to it.
30 minutes. Scoped to your operation. No obligation.