SAP Master Data Governance The Comprehensive Guide to SAP MDG

(SAP 主数据治理 - SAP MDG综合指南）

How This Book Is Organized

这本书是如何组织的

Chapter 1
This chapter starts with an introduction into the various maturity levels in enterprise data management we see across organizations and explains the key organizational drivers for enterprise information management (EIM). Further, the main business drivers for organizations to
invest in EIM are also explained. This chapter elucidates various capabilities expected out of EIM solutions and how each of the capabilities come together in helping enterprises govern and manage their enterprise data. Various SAP solutions are introduced that can support an
organization in their data management journey, including the newer solutions, which support a federated data management architecture.The cloud-based data management solutions and the SAP Master Data Governance solution are also introduced in detail.

第1章

本章首先介绍我们在各个组织解释了企业信息管理（EIM）的关键组织驱动因素。此外，组织的主要业务驱动因素还解释了投资EIM的原因。本章阐述了EIM解决方案预期的各种功能，以及每种功能是如何实现的共同帮助企业管理和管理其企业数据。推出了各种SAP解决方案，可以支持组织的数据管理之旅，包括支持联合数据管理体系结构的较新解决方案。还详细介绍了基于云的数据管理解决方案和SAP Master data Governance解决方案。

Chapter 2
This chapter discusses various components of the SAP Master Data Governance solution. It provides an overview of the key master data domains that are delivered with the SAP Master Data Governance solution and introduces the concept of customer-vendor integration (CVI) in business partner domain. It also provides an overview of master data architecture in cloud-based scenarios.

第2章

本章讨论SAP主数据治理解决方案的各个组件。它提供了关键主数据的概述与SAP主数据治理解决方案一起提供的域，并引入了客户-供应商集成（CVI）的概念在业务合作伙伴领域。它还概述了基于云的场景中的主数据架构。

Chapter 3
This chapter discusses the latest addition to the SAP Master Data Governance product profile, namely SAP Master Data Governance cloud edition. The chapter explains how this complementary solution to SAP Master Data Governance on SAP S/4HANA is provided as a
service in SAP Business Technology Platform (SAP BTP). It explains the role that SAP One Domain Model and SAP Master Data Integration play in this cloud solution.

第3章

本章讨论了SAP主数据治理产品简介的最新添加，即SAP主数据管理云版。本章解释了SAP S/4HANA上的SAP主数据治理的补充解决方案是如何作为SAP业务技术平台（SAP BTP）中的服务。它解释了SAP One Domain Model和SAP Master Data的作用集成在这个云解决方案中发挥作用。

Chapter 4
SAP Master Data Governance comes with various deployment options to cater to the changing business and architectural needs of customers. In this chapter, we’ll go deeper into the various deployment options available for SAP Master Data Governance. We’ll compare the hub deployment against co-deployment, including the steps involved and the architectural considerations for each of these deployment choices. This chapter explains why quick-start for SAP Master Data Governance is a recommended way to jump-start your SAP Master Data Governance projects and the key business and project benefits of using this approach. We’ll also go into detail regarding customizing synchronization, as well as the various tools that can be used and the steps involved in setting them up. Finally, this chapter jumps into on-premise and cloud deployment options of SAP Master Data Governance and what versions of SAP Master Data Governance support each of these deployment choices.

第4章

SAP Master Data Governance提供了各种部署选项，以满足客户不断变化的业务和体系结构需求。在本章中，我们将深入了解可用于SAP主数据治理的各种部署选项。我们将进行比较针对协同部署的集线器部署，包括所涉及的步骤和每个部署的体系结构注意事项选择。本章解释了为什么快速启动SAP Master Data Governance是启动SAP Master的推荐方法数据治理项目以及使用此方法的关键业务和项目好处。我们还将详细介绍定制同步，以及可以使用的各种工具和设置这些工具所涉及的步骤。最后，本章跳到-SAP Master Data Governance的前提和云部署选项，以及各自支持的SAP Master Data Governance版本这些部署选项.

Chapter 5
This chapter introduces various data modeling aspects of SAP Master Data Governance such as entity types, attributes, relationships, and hierarchies. It describes how these data model building blocks work together using SAP-delivered data models as examples. This chapter provides step-by-step instructions on configurations related to data modeling.

第5章

本章介绍SAP主数据治理的各种数据建模方面，如实体类型、属性、关系和层次结构。它以SAP提供的数据模型为例，描述了这些数据模型构建块是如何协同工作的。本章提供了与数据建模相关的配置的分步说明。

Chapter 6
In this chapter, we go through the user interface (UI) configurations available as part of the standard central governance solution and the various options available for extending the standard SAP Master Data Governance UI configurations. The chapter starts by providing an
overview of the Floorplan Manager framework and discusses the application configurations associated with the standard domains.

第6章

在本章中，我们将介绍作为标准中央管理解决方案的一部分提供的用户界面（UI）配置，以及可用于扩展标准SAP Master Data Governance UI配置的各种选项。本章首先提供概述了FloorplanManager框架，并讨论了与标准域相关的应用程序配置。

Chapter 7
Process modeling is an important aspect of SAP Master Data Governance. This chapter introduces the essential building blocks of process modeling and then explains how these building blocks are used to design an end-to-end process using various SAP-delivered processes as examples. It then explains how SAP Master Data Governance addresses the handling of single-record and multiple-record processing scenarios. After providing a high-level overview of process modeling for each SAP-delivered master data domain, we discuss workflow modeling and SAP-delivered workflow templates. This chapter also provides an overview of the rule-based workflow and explains its design aspects with a simple example. This chapter ends with an overview of the various Business Add-Ins (BAdIs) provided by SAP to enable additional enhancements to support workflow processes.

第7章

流程建模是SAP主数据治理的一个重要方面。本章介绍了流程建模，然后解释如何使用这些构建块来设计使用各种SAP交付的端到端流程以过程为例。然后，它解释了SAP主数据治理如何处理单个记录和多个记录处理场景。在为每个SAP交付的主数据域提供了流程建模的高级概述之后，我们将讨论工作流建模和SAP提供的工作流模板。本章还概述了基于规则的工作流，并解释了其设计方面以一个简单的例子。本章最后概述了SAP为启用其他增强功能以支持工作流过程。

Chapter 8
Improving the quality of the existing master data and preventing bad data from entering the systems are top priorities in most data governance projects. This chapter discusses various techniques and options, including data quality remediation and data quality management for product master data, that can be leveraged in improving the master data quality during the governance process. This chapter also provides some details regarding data quality rules and discusses options for integrating with SAP and non-SAP applications for data standardization and enrichment.

第8章

提高现有主数据的质量和防止坏数据进入系统是大多数数据的首要任务治理项目。本章讨论了各种技术和选项，包括数据质量补救和数据质量产品主数据的管理，可用于在治理过程中提高主数据质量。本章还提供了有关数据质量规则的一些详细信息，并讨论了与SAP和非SAP应用程序集成的选项用于数据标准化和丰富化。

Chapter 9
In this chapter, we’ll explore why data consolidation and mass processing are key capabilities for any data governance solution. We’ll also look at the key business use cases supported by consolidation and mass processing capabilities within SAP Master Data Governance.

Further in this chapter, we’ll go step by step into activating, configuring, and setting up consolidation capabilities within SAP Master Data Governance. We’ll take a detailed look at the various standard data models delivered by SAP and their key attributes and capabilities. We’ll also discuss process models within the consolidation and mass processing solution, including the steps to configure them, their benefits, and their usage in a data consolidation process. This chapter covers the configuration capabilities available within each step of a consolidation process in detail. After this, we go into step-by-step details of operating and running the consolidation and mass processing solutions.   For customers who want to go beyond the standard and extend the consolidation solution for their own special needs, this chapter also discusses in detail the steps involved in extending the standard solution.

第9章

在本章中，我们将探讨为什么数据整合和大规模处理是任何数据治理解决方案的关键功能。我们还将查看SAP主数据治理中的整合和大规模处理功能所支持的关键业务用例。在本章中，我们将逐步了解在SAP Master Data中激活、配置和设置整合功能统治我们将详细了解SAP提供的各种标准数据模型及其关键属性和功能。我们还将讨论整合和大规模处理解决方案中的流程模型，包括配置它们的步骤以及它们在数据整合过程中的使用。本章介绍了详细介绍了合并过程。在此之后，我们将逐步详细介绍操作和运行合并和批量处理解决方案。对于那些希望超越标准并根据自己的特殊需要扩展整合解决方案的客户，本章还详细讨论了扩展标准解决方案所涉及的步骤。

Chapter 10
The ability to analyze master data and the associated data management process is an important part of keeping it clean. This chapter discusses SAP Master Data Governance analytics functionalities. We focus on process reporting, which is available as part of SAP S/4HANA 2021.

第10章

分析主数据和相关数据管理过程的能力是保持数据清洁的重要组成部分。本章讨论了SAP主数据治理分析功能。我们专注于流程报告，它是SAP的一部分S/4HANA 2021。

Chapter 11
This chapter explains how to build custom objects for the central governance scenario. It explains the various steps involved in building custom objects using SAP Work Breakdown Structures (WBS) as an example. The chapter provides details on how to build a custom data model, custom UIs, and custom business logic. This is an end-to-end guide and helps you understand how to build an SAP Master Data Governance custom domain to be used in the central governance scenario.

第11章

本章介绍如何为中央治理场景构建自定义对象。它解释了建筑中涉及的各个步骤使用SAP工作分解结构（WBS）作为示例的自定义对象。本章提供了有关如何构建自定义数据的详细信息模型、自定义UI和自定义业务逻辑。这是一份端到端指南，可帮助您了解如何构建SAP主数据要在中央治理场景中使用的治理自定义域。

Chapter 12
One of the key capabilities of SAP Master Data Governance is its ability to distribute and share the governed master data into various other receiving applications within the enterprise landscape, including both SAP and non-SAP systems. In this chapter, we’ll look into the key building blocks and configuration steps of the data replication framework within SAP Master Data Governance. We’ll detail topics such as filtering, key mapping, value mapping, and distribution models. Because key mapping is a very important concept in data distribution, we’ll dig deeper into that topic and do a step-by-step review of the activities involved in setting it up in SAP Master Data Governance. We’ll also discuss in detail the data distribution for all standard data domains supported by SAP Master Data Governance, that is, material, business partner, and finance. This chapter also goes into the details of operating data distribution using the data replication framework, including logging, monitoring, and error handling.monitoring, and error handling.

第12章

SAP主数据治理的关键功能之一是能够将受治理的主数据分发并共享到企业环境中的各种其他接收应用程序中，包括SAP和非SAP系统。在本章中，我们将探讨SAP Master data Governance中数据复制框架的关键构建块和配置步骤。我们将详细介绍过滤、密钥映射、值映射和分布模型等主题。由于密钥映射在数据分发中是一个非常重要的概念，我们将深入研究该主题，并逐步回顾在SAP Master data Governance中设置密钥映射所涉及的活动。我们还将详细讨论SAP Master data Governance支持的所有标准数据域的数据分布，即材料、业务合作伙伴和财务。本章还介绍了使用数据复制框架操作数据分发的细节，包括日志记录， 监控和错误处理。

Chapter 13
This chapter focuses on various SAP Master Data Governance integration options and how they can be integrated with other SAP and non-SAP solutions. An overview of SAP Master Data Governance application programming interfaces (APIs) is provided. Some of the common
integration requirements are also discussed, such as integration with SAP cloud solutions, SAP Product Lifestyle Management (SAP PLM), SAP Ariba, SAP Cloud for Customer, Central Finance, and so on.

第13章

本章重点介绍各种SAP Master Data Governance集成选项，以及它们如何与其他SAP和非SAP集成SAP解决方案。提供了SAP Master Data Governance应用程序编程接口（API）的概述。一些常见的还讨论了集成需求，例如与SAP云解决方案的集成、SAP产品生活方式管理（SAP PLM）、SAP Ariba、SAP Cloud for Customer、Central Finance等。

Chapter 14
Accurate and efficient initial data loads are key to the success of any SAP Master Data Governance project. Various recommendations and factors that influence and help in choosing the right data migration strategy in central governance are explained as part of this chapter.
Options for extraction, conversion, and loading techniques are also explained for various master data objects. In addition, step-by-step instructions and recommendations using the data import/export framework and file upload/download options are explained in detail.

第14章

准确高效的初始数据加载是任何SAP主数据治理项目成功的关键。各种建议和作为本章的一部分，将解释影响和帮助在中央治理中选择正确的数据迁移策略的因素。还解释了各种主数据对象的提取、转换和加载技术的选项。此外，循序渐进详细解释了使用数据导入/导出框架和文件上传/下载选项的说明和建议。

Chapter 15
From reading this chapter, you’ll understand how to operate SAP Master Data Governance after go-live and effectively manage SAP Master Data Governance content. The editions concept is explained in detail, along with recommendations for effective usage of editions after an SAP Master Data Governance go-live. This chapter provides a best practice approach for ongoing data loads and mass processing. It also provides performance optimization and troubleshooting tips for workflow issues and data replication issues, along with a list of commonly used transactions and application programming interfaces (APIs).

第15章

通过阅读本章，您将了解如何在上线后操作SAP主数据治理并有效管理SAP主数据治理内容。对版本概念进行了详细解释，并提出了有效使用版本的建议SAP主数据治理上线后。本章为正在进行的数据加载和批量提供了最佳实践方法处理。它还提供了针对工作流问题和数据复制问题的性能优化和故障排除提示，以及常用事务和应用程序编程接口（API）的列表。

Chapter 16
This chapter focuses on various SAP Fiori apps available as part of the SAP Master Data Governance on SAP S/4HANA 2021 standard delivery. The chapter details the landscape requirements, key capabilities, and extensibility options involving OData service extensions, UI
extensions, and so on for these SAP Fiori apps.

第16章

本章重点介绍各种SAP Fiori应用程序，这些应用程序是SAP S/4HANA 2021标准SAP主数据治理的一部分传送本章详细介绍了涉及OData服务扩展、UI的总体需求、关键功能和可扩展性选项扩展等等。

Chapter 17
SAP Master Data Governance is not only a powerful data governance solution but also a powerful data governance platform on which partners and customers can build their own data domains for data governance. In this chapter, we’ll look at various complementary solutions
available in the market today, which are built using the SAP Master Data Governance framework. We’ll cover SAP Master Data Governance, enterprise asset management by Utopia; SAP Asset Information Workbench by Utopia for managing enterprise assets; SAP Master Data Governance, retail and fashion management extension by Utopia; and finally PiLog’s Material Master Taxonomy solution. We’ll provide a detailed explanation of the quick-start for SAP Master Data Governance offering, including the business and IT benefits and the deliverables. We’ll also do a deep dive into the coverage of the quick-start for SAP Master Data Governance solution and the various deployment options supported with this approach.

第17章

SAP Master Data Governance不仅是一个强大的数据治理解决方案，而且是一个功能强大的数据管理平台。合作伙伴和客户可以为数据治理构建自己的数据域。在本章中，我们将研究各种互补的解决方案。目前市场上可用，它们是使用SAP主数据治理框架构建的。我们将介绍SAP主数据治理、企业资产管理由Utopia(乌托邦)；Utopia(乌托邦)的SAP资产信息工作台，用于管理企业资产；乌托邦对主数据治理、零售和时尚管理的扩展；最后是PiLog的Material Master Taxonomy解决方案。我们会详细解释SAP Master Data Governance产品的快速入门，包括业务和IT优势以及可交付成果。我们还将深入了解SAP Master Data Governance解决方案的快速启动和各种方法支持的部署选项。