[Decision micro classroom] heavy dry goods sharing! SAP MDG teaches you how to correctly determine the mode, build the system and build the platform!
Time: 2022-05-19 
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[DecisionMicro Classroom] The thirty-seventh issue of SAP MDG master data management and governance solution will meet you on time at 8:00 p.m. on April 21, 2022. The 500 participants have been occupied early. The content of this issue It has been warmly welcomed by small partners in the SAP consulting circle at home and abroad and loyal fans of Decision! Everyone has benefited a lot and gained a lot!
In order to facilitate further learning and sharing, we have organized and summarized the content of this issue, and formed a dry product for everyone. I hope everyone can continue to charge and improve, and continue to accelerate on the road of SAP business that we love.
In the digital age, data-driven has become the main theme of digital-to-intelligence transformation. The operation and management of enterprises are not based on data all the time. The management of enterprises will also revolve around data to conduct in-depth business value mining. How can enterprises correctly mine, extract and use data? It has become one of the indispensable means of enterprise management today. For enterprise operation, the most basic data protection is master data. The management and governance of master data is an indispensable and important part of all enterprise management. The SAP MDG solution is a new generation of comprehensive and powerful solutions for master data management and governance. Based on SAP's rich business and industry experience, it has preset out-of-the-box models, rules, workflows, user interfaces and It helps enterprises to standardize and lay a solid foundation for the quality of master data and data circulation, thereby improving the application collaboration and management standardization level of the overall IT environment of the enterprise, and using data to generate business and management value.
1、The Core of Enterprise Data Management
The typical data field of an enterprise contains many kinds of information classification, but as master data, it is mainly divided into the following three categories:
1. Key basic data: Relatively stable and static basic data, which mainly defines the distinction between enterprise systems and various elements, such as factory configuration, inventory location, company code and other basic data.
2. Master data: relatively stable and static data within a period of time, such as materials, suppliers, customers, etc.
3. Conditional master data: It is a change, but it is relatively stable price master data within a certain period of time or within a certain range, etc.
2、What is master data?
Master data management is a complete set of scientific management system, including six aspects: control strategy, organizational structure, data standard, management process, implementation plan and technical support.
■ Control strategy: formulate master data control strategy for enterprise strategy
■ Organizational structure: establish a special organizational structure to implement master data standards and manage master data
■ Master data standards: formulate data standards and specifications related to each master data
■ Management process: the supporting management process for formulating master data standards
■ Implementation planning: timely formulate plans and blueprints for master data implementation
■ System support: build a set of efficient master data management platform that conforms to the centralized management and control strategy
3、Five KPIs for Master Data Management
Whether an enterprise's master data is well managed can generally be measured by the following five KPI indicators:
1. Uniqueness: For the same business entity, there are no multiple repetitions, and the code is unique
2. Normative: The content of each attribute field of the master data is filled in in accordance with the data standard specification
3. Integrity: Whether the master data attributes are completely filled in according to the standard rules, there is no omission
4. Consistency: For the same data code, the attributes in each information system are consistent
5. Controllability: clarify the division of responsibilities and processes for master data management
4、System landing
The construction of master data management and governance system is the core of enterprise data management. Considering various factors such as departmental collaboration, multi-factory management, and industrial upstream and downstream collaboration, if an enterprise wants to create a stable, standard, and unified master data management and governance, it must be Powerful system tools assist to reduce the risk of management and control implementation. SAP takes a long-term perspective and adopts the first-class master data management and governance platform MDG to support the current and future business development of enterprises.
5、SAP MDG System Technical Architecture
SAP MDG adopts the latest architecture of the same origin as S/4HANA, and fully inherits the technical advantages of SAP ABAP server. As shown in the figure above, some functions and roles of MDG are located in the "software layer under SAP ERP" and can be reused by ERP applications.
6、HANA-based in-memory computing provides high-performance processing
On the other hand, MDG provides high-performance processing based on HANA in-memory computing, such as using in-memory computing technology to improve processing speed, search based on search terms and attributes, computing similarity ranking, and powerful duplicate data detection capabilities.
7、SAP MDG Prefabricated Master Data Model
As mentioned above, the SAP MDG system fully inherits the technical advantages and stability of the S/4HANA platform, coupled with HANA memory computing technology, it can easily cope with the application pressure under large data volume and large application load; it can efficiently handle master data management business processes and external distribution. And MDG is built on an open architecture, based on which users can flexibly enable or flexibly configure the data model.
8、Master Data Consolidation Process
As shown in the figure above, the main data merge process. That is, it shows how to merge and check the data in the existing systems, and finally obtain a golden record. A process of entering the system is an indispensable work for S/4HANA or master data management online switching. As a master The data merging tool can perform batch import for duplication checking and data governance for the original type of data.
9、Powerful data quality and data management functions of SAP MDG
SAP MDG has powerful data quality and data management and control functions. It can define data quality rules according to the company's business processes to ensure the quality of the input data. At the same time, in terms of compliance verification, MDG can not only reuse the business verification rules of SAP ERP, It can improve the inspection effect and correct data at the input point link, and continuously improve the data quality.
10、SAP MDG friendly interface
SAP MDG has a rich and friendly interface and integrates business logic. In addition to providing pre-built content, it can be easily customized according to business and end-user preferences. In addition to supporting the traditional web interface, MDG can also design a user-friendly UI that is highly customized based on roles based on SAP's new generation of Fiori technology to meet the personalized needs of desktop or mobile users.
11、The rich system integration capabilities of SAP MDG
As a master data management platform, SAP MDG also has rich system integration capabilities, which can centrally manage all master data in a very complex IT environment of an enterprise, and has the characteristics of two-way integration, so that master data can be created through other systems and imported into master data. The data management platform can also be distributed to other systems through the data of the master data management platform.
At present, more and more enterprises are beginning to pay attention to data management and governance, and regard data management and governance as a necessary measure in their digital intelligence strategy. As an industry-leading master data management and governance solution, SAP MDG provides The end-to-end comprehensive and flexible enterprise-level master data management and governance functions and processes. I believe that in the future, MDG will be more and more applied in the field of enterprise management applications, and become the best in the field of enterprise management digital intelligence in the field of master data management and governance. Weapons and Utilities.
【Service Guide】
For more information on SAP courses, project consultation and operation and maintenance, please call Decision's official consultation hotline: 400-600-8756
【About Decision】
Global professional consulting, technology and training service provider, SAP gold partner, SAP software partner, SAP implementation partner, SAP official authorized training center. Sixteen years of quality, trustworthy!
In order to facilitate further learning and sharing, we have organized and summarized the content of this issue, and formed a dry product for everyone. I hope everyone can continue to charge and improve, and continue to accelerate on the road of SAP business that we love.
In the digital age, data-driven has become the main theme of digital-to-intelligence transformation. The operation and management of enterprises are not based on data all the time. The management of enterprises will also revolve around data to conduct in-depth business value mining. How can enterprises correctly mine, extract and use data? It has become one of the indispensable means of enterprise management today. For enterprise operation, the most basic data protection is master data. The management and governance of master data is an indispensable and important part of all enterprise management. The SAP MDG solution is a new generation of comprehensive and powerful solutions for master data management and governance. Based on SAP's rich business and industry experience, it has preset out-of-the-box models, rules, workflows, user interfaces and It helps enterprises to standardize and lay a solid foundation for the quality of master data and data circulation, thereby improving the application collaboration and management standardization level of the overall IT environment of the enterprise, and using data to generate business and management value.
1、The Core of Enterprise Data Management
The typical data field of an enterprise contains many kinds of information classification, but as master data, it is mainly divided into the following three categories:
1. Key basic data: Relatively stable and static basic data, which mainly defines the distinction between enterprise systems and various elements, such as factory configuration, inventory location, company code and other basic data.
2. Master data: relatively stable and static data within a period of time, such as materials, suppliers, customers, etc.
3. Conditional master data: It is a change, but it is relatively stable price master data within a certain period of time or within a certain range, etc.
2、What is master data?
■ Control strategy: formulate master data control strategy for enterprise strategy
■ Organizational structure: establish a special organizational structure to implement master data standards and manage master data
■ Master data standards: formulate data standards and specifications related to each master data
■ Management process: the supporting management process for formulating master data standards
■ Implementation planning: timely formulate plans and blueprints for master data implementation
■ System support: build a set of efficient master data management platform that conforms to the centralized management and control strategy
3、Five KPIs for Master Data Management
1. Uniqueness: For the same business entity, there are no multiple repetitions, and the code is unique
2. Normative: The content of each attribute field of the master data is filled in in accordance with the data standard specification
3. Integrity: Whether the master data attributes are completely filled in according to the standard rules, there is no omission
4. Consistency: For the same data code, the attributes in each information system are consistent
5. Controllability: clarify the division of responsibilities and processes for master data management
4、System landing
5、SAP MDG System Technical Architecture
6、HANA-based in-memory computing provides high-performance processing
7、SAP MDG Prefabricated Master Data Model
8、Master Data Consolidation Process
9、Powerful data quality and data management functions of SAP MDG
10、SAP MDG friendly interface
11、The rich system integration capabilities of SAP MDG
At present, more and more enterprises are beginning to pay attention to data management and governance, and regard data management and governance as a necessary measure in their digital intelligence strategy. As an industry-leading master data management and governance solution, SAP MDG provides The end-to-end comprehensive and flexible enterprise-level master data management and governance functions and processes. I believe that in the future, MDG will be more and more applied in the field of enterprise management applications, and become the best in the field of enterprise management digital intelligence in the field of master data management and governance. Weapons and Utilities.
【Service Guide】
For more information on SAP courses, project consultation and operation and maintenance, please call Decision's official consultation hotline: 400-600-8756
【About Decision】
Global professional consulting, technology and training service provider, SAP gold partner, SAP software partner, SAP implementation partner, SAP official authorized training center. Sixteen years of quality, trustworthy!
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