SAP Master Data Governance
 Dogra, Bikram & Isacc, Antony & Kalwachwala, Homiar & Radhakrishnan, Dilip & Srinivasan, Syama & Chahal, Sandeep & Cheekoti, Santhosh & Khambhampati, Rajani & Lodha, Vikas & Quirk, David  (10.03.2023)

Verlag: Rheinwerk Publishing

Author: Dogra, Bikram & Isacc, Antony & Kalwachwala, Homiar & Radhakrishnan, Dilip & Srinivasan, Syama & Chahal, Sandeep & Cheekoti, Santhosh & Khambhampati, Rajani & Lodha, Vikas & Quirk, David

ISBN: 978-1-4932-2315-2

Erscheinungsdatum: 10.03.2023

Größe: 178 x 254 (B/H)

Reihe: SAP PRESS Englisch

Sprache: englisch

Auflage: 3

Umfang: 761 Seiten

MwSt: 7 %

Manage your SAP S/4HANA and SAP ERP master data with this hands-on guide! Walk through implementing, configuring, and using SAP Master Data Governance, both on-premise and in the cloud! Whether your organization requires custom applications or works with out-of-the-box central governance, consolidation, and mass processing, you’ll find detailed instructions for every step. From data modeling to data replication, this comprehensive guide will help you master your data!a. ModelingCreate and extend data models by mastering entity types, attributes, hierarchies, and other elements. Use the floorplan manager for UI modeling and explore the use of change requests and workflows in process modeling.b. Data Quality and ReplicationEnsure your organization is using quality data in its operations. Learn to remediate and your enrich data. Then, move that data to where it needs to be in your system using tools like the data export framework, data import frameworks, and entity-based upload/download.c. Integrations and ExtensionsPut SAP MDG to use in your entire landscape by integrating with SAP Integration Suite, Central Finance, SAP Product Lifecycle Management, SAP Ariba, and more. Explore SAP MDG’s quick start options and complementary solutions from SolEx.Highlights Include:On-premise and cloud deploymentData modelingProcess modelingData qualityData replicationData migrationConsolidationOperationsMass processingIntegrationsExtensionsAnalytics Highlights: On-premise and cloud deployment Data modeling Process modeling Data quality Data replication Data migration Consolidation Operations Mass processing Integrations Extensions Analytics