Master data management is the development and maintenance of the required organizations, processes and tools to ensure that every master data element …
Is captured once, on time, accurately, completely, correctly and consistently thus enabling master data quality;
Is stored in a way that guarantees integrity and a single place of reference
Is made available to those who need it, whenever they need it, both internally and externally.’
Business Drives:
- Single Version of the Truth
- Business Intelligence
- Operational Efficiencies
- Application Integration
- Compliance
Master Data Layers:
- Combined Master Data
- Master Data
- Reference Data
- Meta Data
History and Positioning at SAP
- Pre 2004: SAP MDM 3.0
- July 2004: SAP MDM-E (SAP acquires A2i)
- 2005: MDM 5.5 SP03
- 2006-2007: MDM 5.5 SP04, SP05, SP06
- 2008: MDM 7.1 (Q3)
Core MDM Scenarios
- Master Data Consolidation
- Master Data Harmonization
- Central Master Data Management
Horizontal Scenarios
- Customer Data Integration
- Product Information Management
- Improved Business Intelligence
Industry Scenbarios
- Global Data Synchronization
Embedded Scenarios
- SRM/MDM Catalog
Building Blocks

MDM Fun ctional Overview
MDM Integration
- Exchange Information between MDM and various syswtems
- Extract Data, Load Data, Distribute Data (ETL)
- Service Enabled Integration
MDM Integration Flows

MDM Integration APIs
- ABAP, Java and COM
- Administrate MDM Servers and model repositories
- Access and modify master data
- Exposes MDM matching capabilities and workflow
MDM Web Services
- Based on SOAP and WSDL
- Provide data management capabilities (CRUD)
MDM Operations
- Toolset to Manage Master Data (Search-Edit-Change)
- Governance through Workflow
Role-based Access
- Access data stored MDM using UI
Drilldown Seach
- Powerful and efficient search capabilities
- Allows users to start with all of the items in the repository and then effortlessly zoom in on items of interest
Creation and Maintenance
- Manage data in the repositmory. (maint table and sub tables records)
- Leverage built in data management workflows to manage compliance process
Catalog Management
- Centrally manage catalogs (upload, consolidate, search) and publish the information to business processes
MDM Quality
- Toolset to Enhance Data Quality
- Normalization, Standardization, Enrichment, De-Duplication
Normalization
- Field Mapping (map an individual source field to an individual destination field)
- Value Mapping (value level mapping against the legal destination)
- Conversion (Each source value can manually or automatically be converted or reformatted)
Validations
Matching and Merging
Key Mapping (cross-system identification to ensure enterprise-wide data quality)
Enrichment (MDM sends data elements to an external data enrichment provider and receives a response containing data to be updated or inserted in a repository.)
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