SAP MDG Tutorial PDF

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Sapvits provide SAP MDG online Training Course with certification/Training material & all syllabus Course content in Bangalore & All over India,UK, USA Etc. Learn More about what is SAP MDG Overview with PPT, PDF, Videos. Also we prepared SAP MDG interview questions with all SAP MDG Workflow Tutorial. Contact Us for Course fees & More about Course web Link- https://www.sapvits.com/project/sap-mdg-online-training/ YouTube URL: https://www.youtube.com/channel/UCSudeN9XjerH4LS-LsGYenQ/videos Email ID: info@sapvits.com IND: +91 9922848898 USA: +1 678 389 8898 UK: +44 141 416 8898

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slide 1:

SAP MDG Training in Bangalore Introduction: SAP Master Data Governance SAP MDG is meant for a low total cost of possession. It runs on a single ABAP stack. Its functionality is increased by optional elements. For the newest version of SAP Master Data Governance SAP ERP improvement Package 8 or higher and SAP Solution Manager are obligatory elements. For Master data Governance for Material 9.0 TREX/Enterprise Search is elective if an SAP HANA info has been installed or another search supplier has been enforced. All the opposite elements are elective. SAP MDG Capabilities The role of SAP MDG within the context of SAP S/4HANA The role of an SAP MDG hub during a system landscape doesnt modification

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• On-preface or individual cloud arrangement is supported for SAP MDG • Most firms run SAP MDG as a hub / co-deployment with SAP ERP supported today/co– deployment with SAP S/4HANAon-premise planned • Distribute master data to any or all systems within the landscape: SAP S/4HANA systems SAP Business Suite systems non-SAP systems SAP S/4 HANA SAP S/4HANA move may be a great opportunity to revisit your data quality • Regular business operations and accurate analytics rely on high-quality master data • Support your move to SAP S/4HANA with master data consolidation in SAP MDG • Subsequently use central governance in SAP MDG to ensure long-term quality of master data

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Integration with SAP S/4HANA offered these days • SAP S/4HANA is a distribution target for SAP MDG’s master data • Central Finance will leverage MDG’s centralized master data amp key mapping for aligned postings • Co-deployment of SAP MDG and SAP S/4HANA is supported SAP MDG Training may be a natural extension of the business processes running in SAP Business Suite providing out-of-the-box domain-specific master data governance to centrally produce modification and distribute master data. Governance: allows governance compliance and transparency through integrated staging endorsement and central audit way Data Quality: Integrates with SAP Business Objects data Services for data quality and data enrichment still as SAP Business Objects Info Steward for data rectification Integration: Native integration with SAP Business Suite and SAP ERP Re-use: Re-use of SAP data model UI and existing business logic and configuration for creation and validation of master data Consistent Data: Delivers consistent definition authorization and replication of key master data entities for SAP. Eliminates error prone manual maintenance processes for master data in multiple systems What is SAP Master Data Governance for Material Data Master data Governance for material information offers a focal hub based upkeep of Material Master Data. To address the key business issues related to such a governance solution for Master data MDG for material takes after some essential rule that is shared over the domains of MDG • Maintain once use many • One standardized method to be utilized by everyone • One standardized user interface for everyone • One standardized set of business logic In order to meet these principles SAP has designed a Master data Governance solution that gives • Central based mostly maintenance of master data • Workflow-driven processes that are versatile whereas ensuring governance and standardization • The harmonious user interface based mostly on Enterprise Portal or the Business Consumer • Data model and business logic follow the simplest practices of the SAP Business Suite and utilize existing data structures business validations and numerous services.

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