SAP MDG Solutions | Master Data Governance Services

Get superior quality master data governance across organization with SAP MDG

Business data governance is a critical topic that is frequently overlooked, even though it is critical for effective data integration.

SAP Master Data Governance (SAP MDG) solutions help businesses to define data usage and management, deciding on protocols for dealing with data challenges, and improving data quality so that your business choices are founded on actual, correct, and up-to-date assets. Having the proper technology, smart tools, and people on your side during the data governance process is critical to success.

SAP MDG Solutions provide central or decentralized master data management in hybrid environments. Organizations can maintain, distribute, and validate enterprise master data seamlessly with the help of SAP MDG Implementation Services and expert SAP MDG Consulting Services.

Our SAP MDG key offerings

Central Governance of Mass data

Centralized governance for master data generation, update, and delivery across business systems with domain-specific master data management.

Master Data Objects Maintenance

Centrally manage your master data for Supplier, Customer, Material, Financials, and Business Partner data with SAP MDG solutions.

Data Quality Management

Analyze, monitor, actively track, and control master data quality, and rectify errors straight from the application. Along with that we certify, outline, and monitor business rules to ensure master data readiness

Master Data Consolidation

We help in the removal of duplicate and superfluous data. Also, resolve any data cleaning difficulties.

Master Data Mass Processing

Resolve the technological and functional issues that occurred during the SAP master data bulk processing. This guarantees that master data records are always up to date.

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Why choose SAP MDG?

Poor master data can cost businesses millions of dollars. Users are dissatisfied. Systems become clogged. Reports become useless.

50% of CFOs want access to clean data to help them make better decisions. Almost 70% of management-level data users see flaws or gaps in the data they use. The figures speak for themselves; many companies are concerned with data quality.

To summarize, many companies struggle with below points when it comes to data management:

Monitor and integrate data across the enterprise
Identify and resolve data quality issues
Enhance the accuracy and dependability of master data analysis.
Improve your master data quality by learning more about it.

If you want to meet the above requirements, look no further than SAP Master Data Governance.

Our SAP MDG implementation approach

Step 1: Research

We begin with a survey tailored to design SAP MDG implementation strategy to assess your data quality, data life cycle and business processes, as well as your technical and organizational capabilities. We acquire insights and develop a smart data governance approach based on this clear picture, which includes policies, data architecture, priorities, business cases, data standards, and your intended data state. We begin with the Define process at the same time since the outputs of both processes impact each other.

Step 2: Identify

This phase focuses on comprehending your company's context. We investigate your data definitions and business terminology, as well as how you utilize taxonomies, which linkages exist, and how policies, standards, regulations, and procedures interact with one another. The data governance initiatives are defined by a clear measurement approach. At the same time, the Discover process is active, impacting the results of the Identification phase.

Step 3: Apply

Step 4: Measure & Monitor

We ensure that the data governance plan is successful and that the stewardship initiatives provide value after it is implemented. We maintain the strategy, your data life cycle, and your data assets up to date, audible, and visible by continually monitoring data governance compliance as well as exceptions to the rules.