Furniture industry experts recruit ERP data management success road

The implementation of ERP is to solve such a problem: how to balance the benefits and costs, integrate the information of various business subsystems, and achieve good data management. There is a saying circulating in the circle of ERP system implementation in China: "Enterprises that successfully implement ERP have similar basic conditions, but the reasons for the failure of ERP implementation are different."

Throughout the domestic enterprises that failed to implement the ERP system, combined with the core management ideas of ERP, the causes of failure can be divided into project management and technical management.

In terms of project management, or because the core business processes of the enterprise are unreasonable, and the system is not fully optimized during the implementation of the system, but only the existing function modules of the ERP supplier are applied; or the lack of system control during the project implementation; It may be that some enterprise leaders only view the ERP system as a kind of general information system, underestimating the difficulty of implementing the system, resulting in insufficient coordination during the implementation process, and subsequent investment cannot keep up.

In fact, in the process of implementing ERP system, there is still a huge technical management problem, that is, some companies fail to effectively manage basic data, which is an important reason for the failure of ERP system implementation.

As we all know, ERP helps enterprises to manage efficiently, must be based on the access, storage and analysis of a large number of comprehensive, accurate and real-time enterprise data. In order to reduce costs and customers' doubts, some ERP vendors now downplay the optimization of the enterprise's basic data structure. They just call the data from the enterprise's existing scattered data sources to cater to the data of their products The input module eventually led to serious flaws in enterprise basic data processing. This is mainly manifested in the following aspects:

First of all, before the enterprise implemented ERP, the basic data of the enterprise was not adjusted in time, which laid a hidden danger for the later system data management. Generally, there are the following three aspects of front-end data operation problems: (1) Data input is not standardized, and different members of the same department have different data input formats, resulting in inconsistent data. (2) The data operation authority is chaotic, so there are many data sources, and the same business is assigned differently in different departments. (3) Some business of the enterprise itself is not standardized, and business data is not formed in time, resulting in incomplete data in the system.

Second, because ERP involves data in various aspects such as finance, sales, and production, the data structure is complex, and the data sources come from different secondary departments. Those companies with a certain development history have formed relatively stable and various A unique secondary unit database. Due to the lack of data channels between various departments, the back-end database of each secondary unit has become an "information island." If this problem cannot be solved well when implementing the ERP system, the basic data of the enterprise cannot be integrated. Combined with the problems existing in the implementation of ERP in domestic enterprises, the author believes that a series of adjustments and management can be made around the basic data of the enterprise, mainly including the following tricks.

Guided by modern enterprise management and using information management technology as a tool, rectify the existing information flow of the enterprise, including adjusting the functional modules of the enterprise and optimizing the business process of the enterprise. Before the ERP project is launched, we must fully understand the information flow of the enterprise, start with the power structure of the enterprise, and analyze the reasons that seriously affect data input, data generation, or data management. On the basis of adjusting the functional modules of the enterprise, it is also necessary to optimize the business process of the enterprise.

Now many second-level units of large enterprises have established relatively stable business subsystems, and at the same time have their own database structure. However, due to the lack of information channels between various departments, "information islands" have been formed.

The implementation of ERP is to solve the problem of how to balance the benefits and costs, and integrate the information of each business subsystem. Of course, all reconstruction may achieve the best data integration, but the cost is huge; comprehensive inclusion will also cause too many data platforms, and the data format is too scattered to meet the basic requirements of ERP systems. Therefore, the most important work is to carefully examine the existing data structure of each business subsystem, consider its data scale, database structure, interface design advantages and disadvantages, etc. to determine which can be used unchanged or with little change. At the same time, the source of various types of data should be clearly specified to ensure that certain data has a definite data source, and to clear the data management overlapping areas between various departments, so as to establish an ERP integrated data management model.