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SAP Master Data Governance (MDG)

Gain clarity and control over your business choices with centralised oversight and governance of master data using SAP MDG.

How SAP MDG Benefits Your Business

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Superior data quality

Take advantage of SAP MDG’s advanced data quality controls to reduce errors through automated compliance checks and eliminate duplication across systems.
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Streamlined operations

Automate key master data management tasks to accelerate data creation, updates, and validation, boosting overall process efficiency and freeing up valuable resources.
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Improved cost control

By eliminating duplicate entries and standardising data directories, SAP MDG helps reduce surplus stock and avoid unnecessary inventory-related costs.
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Data-driven decision-making

Base your strategic choices on accurate, consistent reference data. With SAP MDG, you can spot trends, uncover areas for data improvement, reduce risk exposure, and sharpen your competitive advantage.
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Reduced risk of data loss

Gain peace of mind through structured access control and comprehensive data governance. Role-based permissions and monitored workflows reduce the chance of data loss and protect sensitive information.
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Greater compliance and audit readiness

Ensure alignment with internal policies and external regulatory requirements through transparent, traceable, and standardised data processes, simplifying audits and demonstrating accountability with ease.
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Explore how to bring consistency to your organisation’s data management practices.

SAP MDG and SAP MDM — What’s the Difference?

SAP Master Data Management (SAP MDM) plays a key role in SAP’s data management landscape by enabling the central consolidation and distribution of data, keeping systems aligned and up to date.

When used alongside SAP MDG, organisations can streamline their data management approach, ensuring consistency and regulatory compliance of master data across all business functions.

 

Distinction Between SAP MDM and SAP MDG

Aspect SAP MDM SAP MDG
Primary focus Centralised handling and distribution of master data Governance, quality assurance, and full lifecycle management of master data
Governance capabilities Basic support for governance Comprehensive features for data governance and control
Data consolidation Aggregates master data from various sources Consolidates and governs master data across systems and business processes
Workflows and automation Limited workflow functionality Advanced, flexible workflows for managing changes and approvals in data
Data Quality management Standard data validation checks Robust data quality controls with configurable business rules
Integration with SAP ERP Designed for distributing data across systems Deep integration with SAP ERP and SAP S/4HANA to support governance and consistency
Recommended use Suitable for businesses requiring basic master data centralisation Best suited to organisations with strict compliance needs and a focus on governance practices

Core Capabilities of SAP MDG

Organisations aiming to implement centralised master data management often face two primary challenges. The first is data inconsistency — when information about customers, products, or partners varies across departments, it leads to discrepancies and errors. The second is the lack of standardised practices for managing data, which hampers efficiency and governance.

SAP Master Data Governance (SAP MDG) addresses both issues by introducing structured, standardised processes for creating, updating, and maintaining master data. It enables the consolidation of information, reduces unnecessary duplication, improves data accuracy, and ensures consistent practices across the business.

Master data lifecycle management
Data matching and reconciliation
Standardisation and business rules
System integration
Process automation
Security and access management
Reporting and analytics
Support for multiple master data domains
Flexibility and customisation
Regulatory alignment and internal standards compliance

Master data lifecycle management

SAP MDG provides comprehensive tools to manage master data from creation to retirement. This supports a consistent and controlled lifecycle across all business units.

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Ensure your organisation’s master data remains consistent, accurate, and well-governed.

Success Stories of Our Clients

Industries We Serve

With our extensive SAP expertise and deep industry knowledge, we help businesses choose the best solutions for sustainable growth.

Why Choose LeverX as Your SAP Implementation Provider?

Proven track record

For over 20 years, we have helped businesses worldwide succeed with SAP. We’ve already completed 950+ projects for over 800 clients, including top names on the Fortune 500 list.

Industry experts

The LeverX team comprises professionals with hands-on knowledge in 30+ industries, including manufacturing, logistics, and oil 
and gas.

SAP partnership

We implement SAP projects end-to-end 
and collaborate with SAP on the development and enhancement of its existing solutions.

Quality and security

LeverX operates in compliance with international standards such as ISO 9001, ISO 27001, ISO 22301, and ISO 55001, ensuring reliability and quality in every project.

Investment in innovation

We actively integrate advanced technologies, such as Data Science, IoT, AI, Big Data, Blockchain, and others, to help clients efficiently address their business challenges.

Flexibility

Our team is available 24/7, which enables us to quickly deploy projects, maintain process transparency, and adapt each development phase to meet your specific requirements.

Implementation Roadmap

We follow the SAP Activate methodology, which breaks down the implementation of SAP MDG into six essential stages:
  • Current Processes Evaluation: Assess existing business processes and identify the organization's needs.
  • Defining Technical Requirements: Create a detailed specification of the functional and technical needs of the new system. 

Discover

  • Setting Goals and Objectives: Establish and agree on the goals to be achieved throughout the project.
  • Assembling the Project Team: Appoint team members and define their roles and responsibilities.
  • Project Plan Development: Create a comprehensive plan that outlines project phases, timelines, resources, and key performance indicators.
  • Budget Determination: Estimate and approve the budget.
  • Specifications Preparation: Develop the technical and functional specifications for the development team.

Prepare

  • Ensuring Business Requirements are Met: Check that SAP MDG aligns with business requirements and project objectives.
  • Data Validation: Verify the accuracy and compliance of the data.

Explore

  • Data Migration: Transfer data from existing systems to the new one.
  • System Configuration: Set up the solution according to requirements and specifications.
  • Customization: Develop additional features and modules, if the standard solution does not meet all needs.
  • Integrations: Configure SAP MDG to work with other IT systems and applications.

Realize

  • Testing: Perform functional, integration, regression, and load testing to ensure that all works correctly.
  • User Training: Organize sessions to help users become familiar with the new system.

Deploy

  • System Readiness Check: Verify that the system is ready for operational use.
  • Launch: Officially transition to active use of SAP MDG.
  • Ongoing Support: Continuously monitor solution performance to identify and resolve any issues.

Run

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