SAP MDG vs. DQC: What are key differences?

DQC vs. SAP MDG summary:

• Ecosystem independence: DQC operates effectively regardless of your enterprise systems, while SAP MDQ is designed primarily for SAP environments

• Faster time-to-value: DQC implementation takes days rather than months typical of SAP deployments

• Business user empowerment: Our solution is designed for data stewards and business users, not just technical SAP specialists

• Flexible data models: DQC adapts to your data rather than requiring conformity to rigid predefined structures like SAP

A more detailed review of SAP MDG and DQC Platform highlights several key differentiators:

SAP MDG:

• Designed specifically for SAP environments with limited cross-system capabilities

• Focuses on centralized governance within the SAP ecosystem

• Requires extensive SAP expertise and technical configuration

• Emphasizes structured workflows and approvals

• High implementation and maintenance costs

• Limited automated quality enhancement capabilities

• Primarily IT-driven with complex interfaces for business users

DQC Platform:

• System-agnostic solution that works across SAP and non-SAP environments

• AI-powered rule generation that requires minimal manual setup

• No-code interfaces designed for business users, not just IT specialists

• Agentic workflows that actively improve data quality with machine learning

• Rapid implementation with faster time-to-value

• Identifies business process impacts of data quality issues

• Provides intelligent remediation suggestions beyond simple validation

Practical Examples


1. Supplier management:
   - SAP MDG: Enforces consistent supplier naming conventions and mandatory fields
   - DQC Platform: Automatically detects misaligned payment terms between SAP and procurement systems, suggests corrections based on supplier history, and flags potential compliance issues

2. Product Information:
   - SAP MDG: Maintains centralized product hierarchy and basic attributes
   - DQC Platform: Validates that product descriptions meet industry standards (ETIM/BMEcat), identifies missing critical attributes for sales channels, and suggests improvements from similar products

3. Financial master data:
   - SAP MDG: Provides approval workflows for cost center creation and changes
   - DQC Platform: Identifies inconsistencies between GL accounts, cost centers, and business partners that would cause transaction processing issues, and proactively alerts relevant stakeholders

Implementation Comparison


• SAP MDG Approach: "Implementation requires 12-18 months with specialized SAP consultants, custom development for non-standard requirements, and extensive training for users to navigate complex interfaces."

• 
DQC Platform approach: "Implementation takes days, max. weeks not months, with out-of-the-box connectors to SAP and other systems. Business users can create and manage rules without IT dependency, seeing value within days of deployment."

  

Integration with SAP Landscape

• SAP MDG:
  Native integration with SAP S/4HANA and SAP ECC, albeit limited ability to enforce quality outside the SAP ecosystem. Requires SAP-specific expertise to maintain and evolve

• DQC Platform:
  Complements SAP investments by extending quality controls beyond SAP boundaries, connecting SAP data with other enterprise systems to ensure end-to-end process integrity. Provides business-friendly interfaces that don't require SAP technical knowledge
  Identifies cross-system data issues that SAP MDG cannot detect
  


Business Value

SAP MDG "etablishes governance processes and data ownership within the SAP landscape."

DQC Platform"delivers quantifiable business improvements by preventing costly errors, accelerating processes, improving compliance, and enabling data-driven decisions across all enterprise systems—not just SAP."