Mdm Overview 1

Master Data refers to the data to be shared among various systems (Operational/transactional application systems and analytical systems) within the enterprise. For example, master data can be shared with customers ), supplier (suppliers), account (Accounts), and Organization Unit (organizational units) data. Master data usually needs to maintain consistency, integrity, and controllability throughout the enterprise. To achieve this goal, master Data Management (MDM) is required ).

What is Master Data Management (MDM)

Master Data refers to the data to be shared among various systems (Operational/transactional application systems and analytical systems) within the enterprise. For example, master data can be shared with customers ), supplier (suppliers), account (Accounts), and Organization Unit (organizational units) data. Master data usually needs to maintain consistency, integrity, and controllability throughout the enterprise. To achieve this goal, master Data Management (MDM) is required ). It should be noted that the primary data is not all the business data in the enterprise, but it is necessary to share the data between various systems as the primary data, for example, most of the transaction data and Bill data are not the primary data, but are similar to data describing core business entities, customers, suppliers, accounts, organizational units, employees, partners, and location information are the primary data. Primary data is a high-value data that can be reused across businesses within an enterprise. These primary data often exists in multiple heterogeneous or homogeneous systems before primary data management.

Master Data Management (MDM) A group of constraints and methods are used to ensure the real-time, meaning, and quality of the data in the subject domain and system of an enterprise and related data across subject domains and systems. This is a deep description of the depth and complexity of active master data management (MDM). In short, Master Data Management (MDM) ensure that your system coordinates and reuses common and correct business data (primary data ). Generally, we use primary data management as a supplement to the application process and separate the primary information from each operation/transaction application and analyticdb application, make it a centralized and independent core resource of various applications in the enterprise, in this way, the core information of an enterprise can be reused and the consistency of core data between various operation/transaction applications and Analytic Applications can be ensured. Through primary data management, the current situation of enterprise data utilization is changed to better pave the way for enterprise information integration.

Master Data Management (MDM) helps us create and maintain a single view of master data in the entire enterprise, ensuring the accuracy, consistency, and integrity of a single view, so as to provide data quality, unify the definition of commercial entities, simplify and improve business processes, and provide business response speeds. In terms of the frequency of changes, the primary data is not the same as the daily transaction data, and the changes are relatively slow. In addition, because the primary data is cross-system, data consistency, real-time performance, and version control are demanding.

The primary data management has existed for a long time, but with the business development and regulatory needs, the real-time, accurate, and consistent primary data has higher requirements, it is widely accepted by the industry. Various manufacturers have launched a series of primary data management integration and basic suites as well as solutions for specific fields. The most significant change in recent years is that customers often asked the following questions: "What is primary data management ?", The questions frequently asked by customers have evolved into: "We do have some problems in our business. Primary Data Management can solve this problem. How can we get started ?". Compared with the past, the customer has made great progress in understanding Master Data Management (MDM) and began to try to use master data management (MDM) solve the various challenges and problems they encounter when carrying out cross-business and cross-subject domains across the entire enterprise: for example, in the tax industry, the Tax Bureau collects statistics based on the analysis of taxpayers, it is found that the basic information about taxpayers is distributed in dozens of systems such as the core collection management system, invoice management system, personal income tax system, and value-added tax management system, making statistical analysis difficult, for example, in medical equipment companies, because the product levels are not classified by suppliers, the descriptions of each product are also very different, making it very difficult to maintain the product catalog. With the development of business, it is very urgent and necessary for all walks of life to generate and maintain a unified primary data system, especially for some multinational companies, it is important to maintain a single view of customers, product catalogs, suppliers, and other information between business systems in different regions (countries and regions.

Note that master data and meta data are two completely different concepts. Metadata refers to information related to data, such as data definition, and primary data refers to instance data, such as product directory information. For example, a province has developed a collection management software, and 17 sets are deployed on a municipal basis. The metadata in each collection management software is the same, but the primary data still needs to be managed. The primary data management and traditional Data Warehouse solutions are not a concept. The data warehouse combines the datasets of various business systems for business analysis, the primary data management system does not manage all data, but collects and publishes the primary data that needs to be shared among systems. Compared with the one-way integration of traditional Data Warehouse solutions, primary data management is focusing on synchronizing changes in primary data to various associated business systems (primary data management data is bidirectional ).

Root causes of primary data management problems

Most enterprises have primary data management problems. I think this is due to the gradual development of business and IT technology development, the business systems of major enterprises have evolved from nothing to simplicity to complexity, thus forming one business shaft after another. Basically, it is impossible to use only one business system to cover all businesses of an enterprise, even a suite provided by some large international companies is an impossible task (even for the suite, A multinational enterprise often deploys multiple instances in different countries or regions, that is, the suite is not centrally deployed, but is deployed in many places ). For enterprises, the construction of business systems is mostly project-centric, from the bottom to the top, rather than the top to the bottom, there is a lack of unified planning for the entire enterprise, so that some data (primary data) that needs to be shared in various businesses is distributed to various business systems for separate management. Due to the absence of consistency, accuracy, and integrity of distributed primary data, various enterprises generally suffer from poor product management, supplier management, and order management. The fundamental solution to this problem is to introduce the primary data management (MDM). Primary data not only refers to the data to be shared, but also includes the business rules and policies to be shared.