SAP Data Quality Check

Improve Data Accuracy. Reduce Operational Errors. Build Trusted Reporting.

Poor master data quality is one of the most common reasons organizations struggle with reporting inconsistencies, process inefficiencies, and operational errors in SAP environments. Duplicate records, incomplete fields, inconsistent structures, and inaccurate master data can directly impact procurement, finance, inventory, sales, and decision-making. The SAP S/4 Data Quality Scorecard is designed to assess the health of your core master data and identify areas requiring improvement.

This assessment evaluates the quality of critical SAP S/4 master data objects such as Customer, Vendor, and Material records. The review focuses on data completeness, consistency, duplication, and accuracy to help organizations establish a cleaner, more reliable foundation for business operations and reporting.

Scope of Assessment

The engagement includes a structured review of core master data within SAP S/4HANA, specifically Customer, Vendor, and Material master records. The assessment analyzes data quality across key parameters including completeness, consistency, duplication, and accuracy to identify gaps affecting operational efficiency and reporting reliability.

Duration

The assessment is typically completed within 1–2 weeks, enabling organizations to rapidly understand the current state of their master data quality.

Key Deliverables

The engagement provides a detailed data quality scorecard highlighting the health and quality levels of core master data. It also includes issue identification and impact analysis, outlining how data inconsistencies affect business processes and reporting. Based on the findings, organizations receive data improvement recommendations to strengthen governance and improve long-term data quality standards.

Dependencies

The assessment requires access to SAP master data tables along with relevant business rules and validation criteria used within the organization. These inputs help ensure accurate evaluation and meaningful recommendations.

Business Benefits

Organizations benefit from improved reporting accuracy by reducing inconsistencies in core data structures. Cleaner master data also enables better process efficiency across departments and minimizes disruptions caused by incorrect or duplicate records. In addition, the engagement helps reduce operational errors that arise from unreliable or incomplete data.

Assumptions

The assessment is limited to Customer, Vendor, and Material master data. It assumes data volumes are within standard operational limits. The engagement focuses only on analysis and recommendations; no mass data correction activities are included.

Commercial Notes

The scope is restricted to analysis of Customer, Vendor, and Material master data within the existing SAP S/4 environment. Data cleansing, migration, or correction execution activities are not included in this engagement.

Your SAP system is only as reliable as the data inside it.
Request your SAP S/4 Data Quality Scorecard today.