Four Common Master Data Management (MDM) Implementation Styles

The foundation of a Master Data Management (MDM) system depends on the implementation style you adopt, which offers the best chance for project success and aligns with your business data management needs.

Several implementation styles exist, differing mainly in whether data is controlled from a central hub or synchronized with existing source systems.

For most organizations, maintaining a single version of truth across the enterprise is a high priority, while also meeting compliance and regulatory obligations; the focus is on improving data quality, establishing data‑governance guidelines, and ensuring easy management and access to data throughout the business.

These goals can be achieved using the most common implementation styles, though MDM solutions vary widely between organizations; the deployment type depends on core business, company structure, and objectives.

Your MDM vendor will recommend the optimal solution based on your requirements. Below are four common MDM implementation styles to help you determine which best fits your organization.

MDM Implementation 1: Registry Style

The registry style discovers duplicates by running cleansing and matching algorithms on data from different source systems, assigning a unique global identifier to matched records to support a single version of truth.

This style does not push data back to source systems; changes to master data continue through the existing sources. Instead, it cleans and matches cross‑reference information, assuming source systems manage their own data quality.

It stores the information needed to link matched records and provides a view that can be accessed as required.

When a comprehensive, single customer view is needed, each reference system contributes to a real‑time 360° view, but central governance is required to ensure the golden record is reliable.

Advantages of the Registry Style

If you have many source systems worldwide, establishing an authoritative source is difficult; the registry approach allows data analysis without risking overwriting information in source systems, helping avoid compliance failures or regulatory impacts when source data changes.

The registry provides a read‑only view of master data, useful for deduplication and consistent access.

It offers low‑cost, rapid data integration with minimal intrusion on application systems.

MDM Implementation 2: Consolidation (Merge) Style

The consolidation style aggregates master data from multiple sources into a central hub to create a single version of truth, also called a golden record.

The golden record resides in the hub for reporting and reference, while any updates to master data are applied back to the original source systems.

Benefits of the Consolidation Style

Using this style, you can extract master data from many existing systems, import it into a managed MDM hub, then cleanse, match, and integrate the data to provide a complete single record for one or more master‑data domains.

The merged hub is low‑cost and quick to install, offering a fast and effective method for enterprise‑wide reporting. This style is primarily used for analytics, providing reliable data sources for reporting and analysis.

MDM Implementation 3: Coexistence Style

The coexistence style builds golden records similarly to the consolidation style, but master data is stored in the central MDM system and also updated in its source systems.

Coexistence incurs higher deployment costs than consolidation because master‑data changes may occur in both the MDM system and the application systems.

All attributes of the master‑data model must be consistent and cleansed before loading into the MDM system.

Benefits of the Coexistence Style

The main benefit is that data is controlled in the source systems and synchronized with the central hub, allowing harmonious coexistence while still providing a single version of truth.

Another advantage is improved master‑data quality and faster access; reporting is easier because all master‑data attributes reside in one place.

If your business needs to link centrally governed data back to source systems, a consolidation hub can naturally evolve into a coexistence hub.

MDM Implementation 4: Transaction / Centralized Style

The transaction style uses linking, cleansing, matching, and enrichment algorithms to store and maintain master‑data attributes, enhancing the data before publishing it back to the respective source systems.

The central hub supports merging of master records, and source systems can subscribe to updates published by the central system to achieve full consistency, though this style requires bidirectional interaction with source systems.

Advantages of the Transaction / Centralized Style

The real benefit is that your master data is accurate and complete at any time, with the transaction‑style hub supporting attribute‑level security and visibility policies, allowing you to obtain a set of centralized master data for one or more domains.

The transaction style often evolves from consolidation or coexistence styles.

Choosing an MDM Implementation Style

We hope this brief overview of the four common MDM implementation styles helps you identify the right approach for your organization.

Before starting any implementation, define the business challenges you expect the MDM system to address.

If fragmented data across systems hinders you, your first step should be to explore how you would handle data if you could easily access a single comprehensive record.

Next, consider who in the organization needs access to this data and whether they need to access it from devices and locations worldwide.

At this stage, consulting a master‑data‑management expert is worthwhile; ideally, the chosen implementation style should help you manage and maintain the most critical data, overcome challenges, and achieve positive business outcomes.

Fortunately, with any of the listed styles you can evolve from one style to another as company needs grow or the organization expands. The key is to start with the right MDM platform so it can develop alongside your business.

Original source: https://blog.stibosystems.com/4-common-master-data-management-implementation-styles

Article: https://pub.intelligentx.net/node/843

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