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EAMORA

Master Data Management (MDM) Governance Framework


A strong Master Data Management (MDM) Governance Framework ensures that your organization’s critical data — customers, products, suppliers, assets, and locations — remains accurate, consistent, secure, and compliant across all systems.

Without governance, master data becomes fragmented, duplicated, and unreliable — leading to reporting errors, compliance risks, operational inefficiencies, and poor decision-making.

Our MDM Governance Framework provides the structure, policies, ownership, and controls needed to turn data into a trusted enterprise asset.

Core Components of Our MDM Governance Framework

1. Governance Structure & Operating Model

  • Executive sponsorship and steering committee

  • Defined data ownership (Data Owners, Data Stewards, Custodians)

  • Clear RACI model

  • Governance council charter and cadence


2. Data Standards & Policies

  • Standardized naming conventions

  • Business definitions and data dictionaries

  • Data classification policies

  • Retention and archival standards

  • Regulatory compliance alignment


3. Data Quality Management

  • Data quality rules and validation logic

  • Duplicate prevention and matching strategy

  • Ongoing data profiling and monitoring

  • KPI-based quality scorecards


4. Data Lifecycle Management

  • Create, update, and deactivate workflows

  • Approval workflows and change control

  • Versioning and audit trails

  • Archiving and historical management


5. Technology & Tool Enablement


We implement and optimize governance within leading MDM platforms such as:

  • SAP Master Data Governance

  • Informatica MDM

  • Oracle Enterprise Data Management

  • Microsoft Purview

Our approach ensures governance processes are embedded directly into your technology landscape.


6. Compliance & Risk Controls

  • SOX and regulatory alignment

  • Data privacy controls (GDPR, CCPA)

  • Segregation of duties

  • Audit-ready documentation


Contact us today to establish data trust across your enterprise.

Our Implementation Approach

   Phase 1: Assessment & Maturity Analysis

    • Current state evaluation

    • Gap analysis

    • Data risk identification

    • Governance maturity benchmarking

    Phase 2: Framework Design

    • Governance operating model design

    • Role definition and accountability structure

    • Policy and standards creation

    • KPI framework definition

    Phase 3: Enablement & Deployment

    • Tool configuration

    • Workflow implementation

    • Training & change management

    • Pilot rollout

    Phase 4: Continuous Monitoring & Optimization

    • Data quality monitoring dashboards

    • Governance performance tracking

    • Ongoing policy refinement

    • Periodic audits