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SAP Master Data Governance - Antony Isacc

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        Présentation Sap Master Data Governance de Antony Isacc Format Relié

         - Livre Littérature Générale

        Livre Littérature Générale - Antony Isacc - 01/03/2023 - Relié - Langue : Anglais

        . .

      • Auteur(s) : Antony Isacc - Bikram Dogra - David Quirk - Dilip Radhakrishnan - Homiar Kalwachwala - Rajani Khambhampati - Sandeep Chahal - Santhosh Cheekoti - Syama Srinivasan - Vikas Lodha
      • Editeur : Rheinwerk Publishing Inc.
      • Langue : Anglais
      • Parution : 01/03/2023
      • Format : Moyen, de 350g à 1kg
      • Nombre de pages : 761
      • Expédition : 1704
      • Dimensions : 26.1 x 18.3 x 4.9
      • ISBN : 1493223151



      • Résumé :

        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. Modeling
        Create 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 Replication
        Ensure 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 Extensions
        Put 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 deployment
        Data modeling
        Process modeling
        Data quality
        Data replication
        Data migration
        Consolidation
        Operations
        Mass processing
        Integrations
        Extensions
        Analytics

        Highlights:

        • On-premise and cloud deployment
        • Data modeling
        • Process modeling
        • Data quality
        • Data replication
        • Data migration
        • Consolidation
        • Operations
        • Mass processing
        • Integrations
        • Extensions
        • Analytics

        ...

        Biographie:

        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. Modeling
        Create 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 Replication
        Ensure 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 Extensions
        Put 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 deployment
        Data modeling
        Process modeling
        Data quality
        Data replication
        Data migration
        Consolidation
        Operations
        Mass processing
        Integrations
        Extensions
        Analytics

        Highlights:

        • On-premise and cloud deployment
        • Data modeling
        • Process modeling
        • Data quality
        • Data replication
        • Data migration
        • Consolidation
        • Operations
        • Mass processing
        • Integrations
        • Extensions
        • Analytics

        ...

        Sommaire:

        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. Modeling
        Create 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 Replication
        Ensure 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 Extensions
        Put 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 deployment
        Data modeling
        Process modeling
        Data quality
        Data replication
        Data migration
        Consolidation
        Operations
        Mass processing
        Integrations
        Extensions
        Analytics

        Highlights:

        • On-premise and cloud deployment
        • Data modeling
        • Process modeling
        • Data quality
        • Data replication
        • Data migration
        • Consolidation
        • Operations
        • Mass processing
        • Integrations
        • Extensions
        • Analytics

        ...

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