MDM Agency: ensuring the reliability of your Master Data
Products, customers, suppliers, organizations, points of sale, bills of materials: MDM structures your critical data to create a reliable, shared source.
DATASOLUTION supports you in implementing an MDM data repository connected to your IT system, your business teams, and your growth objectives.
What does the market say about MDM solutions?
When should you consider implementing an MDM solution in your company?
As the company grows, critical data becomes fragmented. A single supplier may appear under multiple names. A customer may be duplicated in the CRM and ERP systems. A product SKU may have different statuses depending on the system. A country may apply its own rules. Data flows, but it no longer always means the same thing.
MDM addresses a specific challenge: creating a single source of truth for master data. While PIM focuses on managing product information intended for various channels, MDM governs the company’s foundational data.
Common challenges faced by businesses
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#01
Inconsistent master data across ERP, CRM, PIM, e-commerce, BI, and line-of-business tools.
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#02
Duplicates and conflicting definitions for customers, suppliers, products, or organizations.
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#03
Processes slowed down by manual approvals or repeated corrections.
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#04
Reporting is unreliable when indicators are based on non-harmonized data.
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#05
Difficulty in scaling AI, personalization, or omnichannel initiatives without a governed data foundation.
An MDM is not limited to a database repository. It defines the rules of truth, responsibilities, quality, and synchronization of critical data.
Why should you entrust us with your MDM implementation?
For more than 10 years, DATASOLUTION has been helping companies manage their master data
What is our methodology for integrating your MDM?
Context: Aligning the MDM with Business Objectives
We identify priority use cases: product quality, supplier database, customer view, reporting, international governance, ERP/CRM synchronization, and AI readiness.
Assessment: Mapping Sources and Discrepancies
We identify source systems, duplicates, inconsistencies, existing rules, and areas of risk.
Concept: Establishing the Rules of Truth
We are building the target model, quality rules, workflows, roles, and synchronization principles.
Implementation: Phase in Gradually
Deployment can be carried out by domain, by country, by tool, or by use case. This approach reduces risks and facilitates adoption.
Performance Management: Measuring and Improving
We define the relevant metrics: duplicate rate, completeness, errors, validation times, synchronization quality, and adoption by teams.
Some of our projects
FAQ: Your questions about MDM
MDM, or Master Data Management, centralizes and governs a company’s master data to ensure consistency across multiple systems.
PIM manages product information for distribution channels. MDM governs broader master data: products, customers, suppliers, organizations, and internal repositories.
When duplicates, inconsistencies, reporting discrepancies, or conflicts between systems slow down operations and erode confidence in the data.
No. It’s best to start with a high-impact priority area and then gradually expand the scope.
By starting with business use cases, limiting the initial scope, defining responsibilities, and measuring data quality from the moment of deployment.
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