This blog contains a collection of links describing the capabilities of SAP S/4HANA Cloud in the area of
Master Data Management.
Master Data Management in S/4HANA Cloud is mainly centered around the following topics:
Product Master Data Management
Mass Load and Mass Maintenance for Product (1RM)
Mass Processing for Product (1N5)
Master Data Consolidation for Product (1N1)
Master Data Remediation for Product (1MZ)
Business Partner Master Data Management
Mass Load and Mass Maintenance for Business Partner (1RK)
Mass Processing for Business Partner (1N7)
Master Data Consolidation for Business Partner (1N3)
Master Data Integration
Integration to SAP S/4HANA Cloud for Data Enrichment (2PL)
Business Partner and Product Master Integration (1RO)
Master Data Catalog for SAP S/4HANA Cloud (1I5)
Please also take a look at the following links highlighting
S/4HANA Cloud Master Data Management related topics:
SAP Help for S/4HANA Cloud Master Data (1808 release)
Benefit from SAP S/4HANA Cloud for master data governance
Enrich S/4HANA Cloud Master Data With Our New Data As a Service Offering
Maintain Business Partner Master Data using OData APIs in a SAP S/4HANA Cloud system
Interview with Dr. Andreas Döhrn – Insights on the SAP Master Data Management Strategy
New functions with 1911:
Data Quality Management for Business Partner
Data Quality Management for Business Partner enables you to define data quality rules and data quality key performance indicators (KPIs) for business partner master data. You can evaluate the quality of business partner master data according these rules and monitor the current state of the data quality as well as its trend. By analyzing the evaluation results you can identify areas of data with errors, potential reasons for data with errors, and initiate the correction. Furthermore, you can use the data quality rules to validate data in Master Data Consolidation for Business Partner (1N3) and Mass Processing for Business Partner (1N7).
Data Quality Management for Products
Data Quality Management for Products enables you to define data quality rules and data quality key performance indicators (KPIs) for product master data. You can evaluate the quality of product master data according these rules and monitor the current state of the data quality as well as its trend. By analyzing the evaluation results you can identify areas of data with errors, potential reasons for data with errors, and initiate the correction. Furthermore, you can use the data quality rules to validate data in Master Data Consolidation for Product (1N1) and Mass Processing for Product (1N5).
Where to find out more details on the product?
