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SAP MDM to MDG Migration

Provide each data consumer with relevant data that retains business context and logic.

How Can Your Business Benefit from SAP MDM to MDG Migration

If compared, the difference between SAP MDM and SAP MDG is obvious, as SAP MDG is a more advanced solution for your master data management and governance. Migrating to MDG will give your business a number of benefits, including: 
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Data Governance and Compliance

SAP MDG offers a centralized governance framework with built-in workflows, policies, and compliance tools, which SAP MDM lacks.
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Integration with SAP S/4HANA

Businesses can leverage real-time synchronized master data across the entire SAP landscape since SAP MDG natively integrates with SAP S/4HANA and other SAP modules.
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Data Quality Management

SAP MDG reduces the need for manual intervention by providing robust data quality tools, including validation, deduplication, and enrichment capabilities to increase data accuracy and consistency.
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Workflow Automation and Approval Processes

Managing data approvals and validation processes became more automated and advanced as SAP MDG offers advanced workflow capabilities that increase efficiency, reduce errors and allow for customized approval flows.
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Single Source of Truth

SAP MDG features comprehensive data deduplication and consolidation functionality. It minimizes redundancy that occurs with SAP MDM and creates a single source of truth for analytics and decision-making.
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Scalability and Future-readiness

While SAP MDM has no design with cloud-readiness, SAP MDG supports both on-premises and cloud deployment, with flexible scalability aligned with SAP’s roadmap.
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Multidomain Data Support

SAP MDG supports multidomain (e.g., customer, supplier, material) instead of focusing on a specific data domain with SAP MDM. Managing data across various business units and processes becomes versatile with SAP MDG.
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Data Quality Monitoring

With SAP MDG, you can now proactively monitor data quality by using tools that alert users to data quality issues. It enables swift issue detection and resolution to uphold high data standards.
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Reporting and Real-time Insights

SAP MDG comes with broader built-in analytics and reporting tools that provide real-time insights into data quality and governance metrics. It eliminates the need for third-party tools for advanced insights, which was the standard with SAP MDM.
LEVERX
Take your master data management to the next level by migrating to SAP MDG.

Why LeverX?

Proven track record

For over 20 years, we have helped businesses worldwide succeed with SAP. We’ve already completed 1,500+ projects for over 900 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 follows internationally recognized ISO standards for quality management, information security, business continuity, and asset management.

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.

Roadmap of SAP MDM to MDG Migration

We follow the SAP Activate methodology, which breaks down the SAP MDM to MDG Migration into six essential stages:

Discover

  • Identify migration drivers, scope, and involved systems.
  • Evaluate Migration Approach
  • Choose existing integration setups (SAP PI, SAP BODS) or newer tools like SAP S/4HANA Migration Cockpit.

1

Prepare

  • Assemble the project team and create a project plan.
  • Prepare SAP MDG landscape and systems.
  • Set up required connectivity for data transfer between SAP MDM and SAP MDG.

2

Explore

  • Identify master data needs, quality standards, and transformation rules.
  • Analyze gaps and define data integration and transformation processes.
  • Test data transfer with prototypes for early validation.

3

Realize

  • Configure MDG and create migration objects in S/4HANA Migration Cockpit or Data Services.
  • Set up data quality workflows for cleansing and de-duplication.
  • Migrate data in phases, starting small and scaling up, while monitoring and validating data quality.
  • Perform technical and functional testing and validate reconciliation reports.

4

Deploy

  • Confirm data accuracy with post-load validation.
  • Conduct UAT and ensure data usability.
  • Train users on new MDG processes and complete knowledge transfer.

5

Run

  • Monitor for data consistency and resolve post-migration issues.
  • Use DQM for ongoing data quality and optimize governance in MDG.

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FAQ