Master Data Management: Building a Unified, High‑Quality Data Backbone for Enterprises

In the early stages of informationization, enterprises built separate business systems such as OA, HR, CRM, and ERP according to functional independence. Because each system had different users, builders, and scopes, inconsistencies in naming and coding arose, leading to poor data quality, high maintenance costs, and difficulty reusing data across projects.

To address these issues, enterprises now demand consistency, accuracy, and real‑time availability of master data, planning a unified master data management (MDM) framework, platform, data standards, and unified coding.

Master data refers to high‑value, relatively stable core data that can be repeatedly used and fully shared across departments, business units, and systems. The China Academy of Information and Communications defines it as the basic organizational information that meets cross‑departmental collaboration needs, reflecting the state attributes of core business entities, with higher stability and accuracy requirements than transaction data.

1. Master Data Management Framework

The MDM framework consists of specifications, standards, organization, technology, implementation plans, and software systems that provide accurate, timely, complete, and scientific data to support stable operation of business systems and management processes.

Building the framework is not only a technical issue but also a management transformation. Traditional large groups often have numerous independent information systems and even existing master data standards. Unifying standards at the group level requires fundamental changes to business processes and coordination across departments, which can be more challenging than technical integration.

The construction must address governance, organizational structure, institutional norms, process reengineering, and system support.

1. Construction Steps

A well‑designed, extensible MDM system can bring many benefits to digital construction. Steps include:

Master data demand analysis: Analyze existing data resources to create an authoritative data source that follows the “one data, one source” principle.

Solution design: Apply mature MDM consulting methodology, covering definition, coding rules, model design, management processes, and standards across four dimensions: organization, responsibilities, processes, and technology.

System construction: Build a single view of master data, perform cleaning and transformation, enable one‑time entry and enterprise‑wide sharing, and eliminate inconsistencies and duplicate management.

The design should follow advanced data‑management concepts and reference industry best practices, such as the CMM maturity model, which classifies MDM maturity into Initial, Repeatable, Defined, Managed, and Optimizing levels.

2. Clarify Organizational Structure

MDM cannot be completed by a single department; it requires participation from HR, finance, supply chain, production, and other units. A virtual management committee led by a senior manager and composed of business unit heads should be established, granting cross‑departmental authority for MDM‑related decisions.

Figure 1: Master Data Management Organizational Structure

Traditional enterprises, long accustomed to scale‑driven management, now face digital transformation pressures. Data, as a new production factor, demands higher management efficiency and profitability, making MDM essential for sustainable growth.

In practice, a virtual MDM institution is formed, chaired by a senior leader with participation from key business units, responsible for approving data strategies, standards, major decisions, and providing macro‑guidance for system construction.

3. Develop Standards and Specifications

Core content includes enterprise‑wide master data identification, coding standards, application processes, integration interface standards, and specifications for data cleaning, modeling, and historical data handling.

Standard coding principles:

Simplicity: short codes, easy entry, no embedded business meaning.

Uniqueness: each data item has a unique code, often sequential.

Stability: rules should remain effective over time.

Extensibility: accommodate future data growth and changes.

MDM specifications also cover organization and制度, processes, application management, and evaluation mechanisms to ensure long‑term governance.

4. Build Unified Management System

The MDM system serves as the tool for unified management of all master data, providing functions such as definition, rule setting, application, reception, distribution, and deduplication. It collects core data from various business systems, cleans it centrally, and distributes it as a service to downstream systems.

During construction, a maintenance strategy must be defined to ensure timely response to data additions or changes, often by establishing cross‑functional teams and approval workflows.

Figure 2: Master Data Management Application Architecture

5. Standardize Integration and Sharing Mechanisms

By establishing clear data standards, interface specifications, and an enterprise service bus, the organization achieves a “single source of truth” and “one‑place maintenance, multiple‑place usage,” enabling efficient cross‑system collaboration.

2. Issues Analysis in MDM Framework Construction

Before launching MDM, a clear plan should be defined. The work proceeds through four phases: data sorting, standard formulation, platform construction, and operation‑maintenance (see Figure 3).

Figure 3: Workflow and Content of Building MDM Framework

Typical challenges include fragmented data, lack of unified standards, and the need for cross‑departmental coordination. Enterprises should involve domain experts early, draft standards based on business needs, seek external review, and adopt best‑practice models such as fixed‑length numeric codes or mixed alphanumeric schemes, ensuring compatibility and extensibility.

After standards are finalized, training and system integration enforce compliance, while continuous feedback loops and governance mechanisms drive ongoing optimization.

Source: "Enterprise Management" – Author: China Salt Group Informationization Management Department, Interview with Liang Jun.