Validations
Validations in SAP MDG are business-rule checks executed against master data attributes during change request processing to enforce data quality and compliance before data is activated or replicated. This topic covers how validation rules are modeled (typically via BRF+ or rule-based rule types configured against the MDG data model), how they fire during the create/change/single processing steps of a change request, how messages and severities influence workflow progression, and how consultants design, test, and troubleshoot these rules across on-premise and cloud deployments.
Overview
Validations in SAP MDG are business-rule checks executed against master data attributes during change request processing to enforce data quality and compliance before data is activated or replicated. This topic covers how validation rules are modeled (typically via BRF+ or rule-based rule types configured against the MDG data model), how they fire during the create/change/single processing steps of a change request, how messages and severities influence workflow progression, and how consultants design, test, and troubleshoot these rules across on-premise and cloud deployments.
Lessons in this topic
- SAP Validations Tutorial (Part 1)Understand the business and technical purpose of validations in SAP MDG, where they sit in the change request lifecycle, and how they differ from derivations and other rule types.
- Designing, Configuring, and Troubleshooting Validation Rules in MDG (Part 2)Learn practical techniques for designing BRF+-based validation rules in MDG, assigning them correctly in the data model, testing them, and diagnosing common runtime issues.
- Troubleshooting and Performance-Tuning MDG Validation Rules in Production (Part 3)Learn how to diagnose failing or slow validations in SAP MDG change requests, isolate root causes across rule design, data model, and workflow layers, and apply tuning techniques that keep validation processing responsive at scale.
- Advanced Validations: Architecture, Integration and Production Design (Part 4)Advanced capstone for Validations, connecting the existing lesson areas: Why Validations Exist in MDG and How They Fit the Governance Flow; Designing, Configuring, and Troubleshooting Validation Rules in MDG; Troubleshooting and Performance-Tuning MDG Validation Rules 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 Validations, and how would you explain them clearly in an SAP interview?
- How would you apply Validations in a real SAP project? Walk through the design or implementation approach.
- A production issue is reported in Validations. 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 Validations?
- Suppose you inherit an existing Validations solution. How would you review it before making a change?
- A senior architect is reviewing Validations. The project situation is: A retail company implementing MDG for vendor master data needed to ensure that any new vendor located in a country requiring a specific tax registration format could not be approved without that field populated. What design changes, validation evidence and production controls would you require before approving the solution?
- A project encounters this situation while working on Designing, Configuring, and Troubleshooting Validation Rules in MDG: During a materials governance rollout, business users reported that a validation intended to block creation of a material with an invalid unit-of-measure combination was not firing for certain plants. 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 Troubleshooting and Performance-Tuning MDG Validation Rules in Production: During a mass vendor cleansing project, a validation checking bank-detail consistency was firing correctly for single change requests but caused a significant slowdown when 15,000 vendors were mass-changed in one batch of change requests. Walk through how you would analyze the requirement or issue, what you would validate, and how you would test the solution before release.
- Using this SAP project situation — A retail company implementing MDG for vendor master data needed to ensure that any new vendor located in a country requiring a specific tax registration format could not be approved without that field populated — explain Why Validations Exist in MDG and How They Fit the Governance Flow. What should happen, which concepts or process steps matter, and what common mistake would you avoid?