MDGbeginner
Duplicate Check
Duplicate Check in SAP Master Data Governance identifies potential duplicate master data records (business partners, customers, vendors, materials) before they are created or activated, using similarity search, matching rules and thresholds integrated into the change request workflow to protect data quality across S/4HANA and cloud-ready governance landscapes.
Overview
Duplicate Check in SAP Master Data Governance identifies potential duplicate master data records (business partners, customers, vendors, materials) before they are created or activated, using similarity search, matching rules and thresholds integrated into the change request workflow to protect data quality across S/4HANA and cloud-ready governance landscapes.
Lessons in this topic
- SAP Duplicate Check Tutorial (Part 1)Understand the business and technical purpose of duplicate check in MDG, why duplicates are costly, and where the check fits into the change request lifecycle.
- Configuring Search and Match Rules for Duplicate Check (Part 2)Learn how duplicate check search criteria, matching fields, similarity thresholds, and change request integration are configured for governed entities in MDG.
- Tuning and Troubleshooting Duplicate Check Results in Production (Part 3)Learn how to diagnose, tune, and support duplicate check behavior in a live MDG environment, including handling false positives, false negatives, performance issues, and score threshold adjustments.
- Advanced Duplicate Check: Architecture, Integration and Production Design (Part 4)Advanced capstone for Duplicate Check, connecting the existing lesson areas: Why Duplicate Check Matters in MDG Governance; Configuring Search and Match Rules for Duplicate Check; Tuning and Troubleshooting Duplicate Check Results in Production. The goal is to move from feature knowledge to architecture, integration, production support and governance decisions.
Interview questions covered
- What are the core concepts of Duplicate Check, and how would you explain them clearly in an SAP interview?
- How would you apply Duplicate Check in a real SAP project? Walk through the design or implementation approach.
- A production issue is reported in Duplicate Check. What would you check first, and how would you troubleshoot it systematically?
- What are the most important design decisions, trade-offs, and best practices in Duplicate Check?
- Suppose you inherit an existing Duplicate Check solution. How would you review it before making a change?
- A senior architect is reviewing Duplicate Check. The project situation is: A consumer goods company implementing MDG for supplier master data found that finance had over 3,000 supplier records, with an estimated 8% being duplicates created by different regional purchasing teams using slightly different company name spellings and address formats. What design changes, validation evidence and production controls would you require before approving the solution?
- Using this SAP project situation — A consumer goods company implementing MDG for supplier master data found that finance had over 3,000 supplier records, with an estimated 8% being duplicates created by different regional purchasing teams using slightly different company name spellings and address formats — explain Why Duplicate Check Matters in MDG Governance. What should happen, which concepts or process steps matter, and what common mistake would you avoid?
- A project encounters this situation while working on Tuning and Troubleshooting Duplicate Check Results in Production: A shared-services company centralizing vendor master data noticed the duplicate check was blocking a high volume of legitimate new vendor requests because many vendors operated out of the same business park address with shared mailboxes. Walk through how you would analyze the requirement or issue, what you would validate, and how you would test the solution before release.
- A project encounters this situation while working on Configuring Search and Match Rules for Duplicate Check: During an MDG implementation for a manufacturing group operating in multiple countries, the project team initially configured duplicate check for customer creation using only company name and country. Walk through how you would analyze the requirement or issue, what you would validate, and how you would test the solution before release.