Master Data Management (MDM)

MDM governs an organization's shared core data across multiple domains, such as customers, suppliers and products, and ensures it is accurate and consistent in every system. PIM (Product Information Management) focuses on product information and enriches it with what is needed to sell: descriptions, images, specifications and channel-specific content. In larger organizations, the two complement each other. MDM provides a reliable foundation, and PIM makes product data sellable in every channel.

Data Governance defines the framework: who owns which data, which rules and quality requirements apply, and how decisions are made. MDM is where that framework is put into practice, through processes and a platform that keep master data accurate. Without governance, an MDM solution quickly loses quality, and without MDM, governance often remains a policy that never reaches the systems. That is why we always work with both at the same time.

A golden record is the consolidated, quality-assured version of a data object, such as a customer or a product. It is created when the MDM solution matches and merges duplicates from different systems and determines which information is most reliable. The golden record then becomes the version that ERP, CRM, e-commerce and analytics rely on.

There are four common styles. Registry links records across systems without moving data. Consolidation gathers data in a central hub for analytics and reporting. Coexistence synchronizes master data between the hub and the source systems. In a centralized style, the MDM platform becomes the single place where master data is created and changed. The right choice depends on your system architecture, your maturity and which business value should be realized first, and many organizations move between styles over time.

We have deep experience with leading master data platforms and are a partner of Informatica among others. But we never start with the platform. First, we define which business goals MDM should support, which domains should be governed and how the solution must work with your ERP, CRM and e-commerce. Only then do we choose the platform and implementation style, so that the technology fits your business and not the other way around.

Yes, in most cases. Master data is one of the biggest risks in an ERP migration, because duplicates, incomplete records and inconsistent definitions will otherwise be carried into the new system. With MDM in place, you can cleanse and harmonize the data before the migration and at the same time decouple master data from the ERP, keeping it under control through future system changes, acquisitions or expansion into new markets.

AI is never better than the data it is built on. If the same customer or product exists in several versions with conflicting information, AI will give conflicting answers. MDM provides a consistent and traceable foundation, with clear definitions and ownership, that makes it possible to use AI in business-critical processes with confidence.

Start with the business, not the technology. Identify a specific capability that requires better data, such as a single customer view for sales or a consistent product catalog for e-commerce, and build a business case around it. Then narrow the scope to the master data domain with the greatest impact, establish ownership and rules, and choose the platform and implementation style accordingly. This delivers value faster and with lower risk than trying to solve all data at once.

It depends on the number of domains and systems, the current data quality and how ready the organization is for change. We recommend a phased approach where a first domain delivers measurable value before the next one is added. This gives faster results, lower risk and an organization that grows into new ways of working as the solution evolves. MDM is not a project with an end date but a capability that is built out over time.

Value is best measured against the business goals MDM is meant to support, not just data quality. Common metrics include the time from a new product or customer to being ready in all channels, the share of manual corrections, the number of duplicates, incorrect orders and deliveries, and the lead time for reporting. We define the metrics together with you in the business case, so that the impact can be tracked.