Ask five data practitioners what Master Data ManagementMaster Data ManagementMaster Data Management (MDM) is the discipline of creating and maintaining a single, consistent, trusted version of an organization's core business entities like customers, products, and suppliers.View full definition → means and you'll get five different answers. Ask them which MDMMDMMaster Data Management (MDM) is the discipline of creating and maintaining a single, consistent, trusted version of an organization's core business entities like customers, products, and suppliers.View full definition → tool to use and you'll get a 90-minute debate.
is one of the most misunderstood disciplines in data management, and one of the highest- investments a CDO can make when done correctly.
Master Data ManagementMaster Data ManagementMaster Data Management (MDM) is the discipline of creating and maintaining a single, consistent, trusted version of an organization's core business entities like customers, products, and suppliers.View full definition → is the discipline of creating and maintaining a single, authoritative, consistently defined version of an organization's most critical data entities, typically customer, product, supplier, and location.
What MDMMDMMaster Data Management (MDM) is the discipline of creating and maintaining a single, consistent, trusted version of an organization's core business entities like customers, products, and suppliers.View full definition → is NOT:
The core deliverable of MDMMDMMaster Data Management (MDM) is the discipline of creating and maintaining a single, consistent, trusted version of an organization's core business entities like customers, products, and suppliers.View full definition → is the Golden Record: a single, authoritative record for each real-world entity, synthesized from multiple source systems, cleansed, deduplicated, and enriched.
When a retailer has 47 million customer records spread across their CRMCRMCustomer Relationship Management: software and strategy to manage and analyse customer interactions throughout their lifecycle.View full definition →, loyalty program, e-commerce platform, and in-store POS, with 15% duplication, the Golden Record identifies and merges duplicates into 40 million unique, authoritative customer profiles. Every downstream system then works from the Golden Record.
Registry style: The MDMMDMMaster Data Management (MDM) is the discipline of creating and maintaining a single, consistent, trusted version of an organization's core business entities like customers, products, and suppliers.View full definition → hub doesn't store master data, it stores cross-references between source systems. Each source system keeps its own dataown dataData collected directly from your own customers and prospects through your own channels: your most reliable and privacy-compliant source.View full definition →; the hub maps "CRMCRMCustomer Relationship Management: software and strategy to manage and analyse customer interactions throughout their lifecycle.View full definition → customer #12345" to "loyalty customer #67890" to "billing customer #A4412". Lowest implementation effort, but the master data still lives in silos.
Consolidation style: Source systems remain authoritative, but data is periodically consolidated into the MDMMDMMaster Data Management (MDM) is the discipline of creating and maintaining a single, consistent, trusted version of an organization's core business entities like customers, products, and suppliers.View full definition → hub for analytics and reporting. Good for read-only use cases; doesn't solve real-time data consistency problems.
Coexistence style: The MDMMDMMaster Data Management (MDM) is the discipline of creating and maintaining a single, consistent, trusted version of an organization's core business entities like customers, products, and suppliers.View full definition → hub and source systems coexist, with changes synchronized bidirectionally. More complex to implement but gives you both a master view and operational system consistency.
Centralized (hub-and-spoke) style: The MDMMDMMaster Data Management (MDM) is the discipline of creating and maintaining a single, consistent, trusted version of an organization's core business entities like customers, products, and suppliers.View full definition → hub becomes the system of record. All source systems write to and read from the hub. Maximum data consistency; maximum implementation complexity and organizational change required.
Which style is right for you depends on your integration architecture, organizational appetite for change, and use cases. Most organizations start with Registry and migrate toward Coexistence as maturity grows.
Knowledge check
1. In the retailer example cited in the lesson, how many unique authoritative customer profiles result from applying MDM to the original 47 million records?
2. Which MDM implementation style makes the MDM hub the system of record, with all source systems reading from and writing to it?
3. The lesson emphasizes that MDM is closely linked to, but distinct from, Data Governance. What is the most accurate way to characterize their relationship?
4. Select ALL correct statements about what MDM IS or IS NOT, according to the lesson.
Sélectionnez toutes les réponses correctes.
5. Select ALL statements that correctly describe the Registry and Consolidation MDM styles.
Sélectionnez toutes les réponses correctes.
A major European fashion retailer had accumulated 47 million customer records from 8 different systems over 10 years: two e-commerce platforms, a loyalty program, a wholesale portal, four regional POS systems, and a legacy catalog database.
Their problems were severe:
Their MDMMDMMaster Data Management (MDM) is the discipline of creating and maintaining a single, consistent, trusted version of an organization's core business entities like customers, products, and suppliers.View full definition → program (18 months, Reltio platform) consolidated 47M records into 17.5M Golden Records. The immediate outcomes:
The major MDMMDMMaster Data Management (MDM) is the discipline of creating and maintaining a single, consistent, trusted version of an organization's core business entities like customers, products, and suppliers.View full definition → platforms: Informatica MDM (enterprise, complex implementations), Reltio (cloud-native, strong for customer data), Stibo Systems (strong for product data), SAP MDG (best if you're an SAP shop), Talend (open-source heritage, now part of Qlik).
Selection criteria: What is your primary use case (customer vs. product vs. supplier MDMMDMMaster Data Management (MDM) is the discipline of creating and maintaining a single, consistent, trusted version of an organization's core business entities like customers, products, and suppliers.View full definition →)? What is your existing technology ecosystem? What is your integration architecture? How much organizational change can you manage in Year 1?
Don't select an MDMMDMMaster Data Management (MDM) is the discipline of creating and maintaining a single, consistent, trusted version of an organization's core business entities like customers, products, and suppliers.View full definition → tool before answering these questions. The tool is the last decision, not the first.