Connection integration development theme month | drivers of enterprise master data governance

With the continuous advancement of enterprise information construction , More and more business systems are applied in various fields of enterprise production and operation , Such as the management and control level ERP、HR、 Bidding and procurement management 、 Marketing management , Business control level MES、PLM、 project management 、 Quality management, etc , Information system has become an indispensable management tool for enterprises . However , With more and more system construction , It also brings new problems .

Due to the lack of unified planning , At first, the system construction of the enterprise was at the department level , There are many chimney like systems , It is difficult to get through data between systems , It is difficult for businesses to collaborate efficiently . Group users are in different business units , Different business systems use different data standards , This leads to poor data quality , The system becomes less efficient . At this time , Master data management is quietly on the stage .

Master data management has been a part of enterprise information construction as early as 20 years ago . In the late 1990s , Some large central enterprises in China have started the construction of standard codes 、 Application work , This is the initial master data management . Because enterprises generally lack correct understanding of this 、 The number of systems is small , Data confusion is not obvious , As a result, the means of master data management has not been really valued by enterprises , stay IT Architecture construction in progress , It is also arranged at a later stage .

In recent years, the importance of master data management has been gradually recognized by enterprises , More and more enterprises carry out master data governance , At the same time, the enterprise scale has gradually expanded from the original super large group to large or medium-sized customers . Based on previous project experience , The driving force for the enterprise to conduct master data governance mainly comes from the following aspects ：

1、 There are many enterprise business systems , Data integration is difficult . The standardization of master data can unify the basic caliber of enterprise data , So as to break the “ Data wall ”.

2、 With the upsurge of big data analysis , The use of data is highly valued , But in the absence of standardized master data management , Business data 、 Inaccurate analysis of data has become a common phenomenon . Data governance can effectively improve the accuracy of data statistical analysis .

3、 Some enterprises carry out large-scale comprehensive system construction , Such as financial sharing 、 Integration of industry and Finance 、ERP etc. , These projects involve a large number of third-party system integration , There is no master data standardization , These integrations are difficult to implement effectively .

4、 Strengthening the management and control of some businesses requires the support of master data standardization , The most typical example of this is the centralized procurement of enterprises , A basic condition for centralized purchase is the unified specification of material master data in the whole group . There is no unified material master data , The purchase demands of different departments or subordinate enterprises cannot be consolidated , The framework agreement is difficult to implement , Inventory materials cannot be transferred between subsidiary companies , Finally, the effect of centralized purchase will be discounted .

5、 Some industries have industry regulatory requirements , Such as medical treatment 、 medicine 、 Finance and other industries , These industries report data 、 There are mandatory requirements for business compliance , Without the support of master data standardization, it is difficult to meet the requirements of data compliance .

6、 The industrial chain of the enterprise is extended 、 Technology upgrading will also put forward governance requirements for master data , Such as a lot of coal 、 Mining enterprises of minerals , The industrial chain is extended to coal chemical industry 、 Metal smelting , The original material data standard and data range cannot meet the needs of new business , Mobile communication enterprises start from 4G To 5G, The data standard of purchased materials also needs to be revised .

Sum up , We can see that with the informatization 、 The constant deepening of digital intelligence construction , Master data standardization system has become an important infrastructure for enterprises , And with the development of the enterprise, this infrastructure will continue to grow 、 upgrade .