SAP Master Data Governance (SAP MDG) offers centralized governance for master data domains like Financials, Supplier, Customer, and Material. With this application, you can manage master data that is ready and fit to use within SAP environments.
Release 7.0 of SAP MDG brought the option of using SAP HANA for advanced duplicate detection and search, and it provides matching and cleansing capabilities. Once the MDG information is contained in SAP HANA, you can use SAP HANA’s capabilities for duplicate-detection and similarity-ranked search. This search method comes in addition to other options like plain database search or Enterprise Search. SAP HANA fuzzy search allows for both, free-style Google-like search with search terms as well as attribute-based search with dedicated thresholds for each attribute.
This book covers the basic configuration of SAP MDG for three master data domains- Material, Supplier and Customer followed by HANA based search and de-duplication setup.
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About the Author
Sukant is an experienced SAP EIM Solutions Architect with almost a decade and half of consulting experience in the areas of designing and delivering SAP Master data management (MDM), Master Data Governance (MDG), Data Quality, ETL, Data migration and related Information management solutions. He led the world’s first implementation of SAP MDG on HANA.
He has strong functional expertise & experience in managing & delivering end to end MDM solutions, assisting with Current state assessment, Strategy roadmap, Implementation plan and Tools & technology selections . He has experience in Manufacturing , Oil& Gas, Consumer products and allied industries.
Sukant is a Post graduate in Industrial Engg & Management and holds a Bachelors of Chemical Engineering degree . He has spoken at MDM & Data Governance Summits and is a prolific blogger in this space. He also owns & moderates one of the largest online communities for MDM.
Most Helpful Customer Reviews
A much needed resource for understanding how to utilise the power of SAP HANA for master data management