ERP-based data covers a wide range of businesses covering all visible information and the information is not visible. In order to help enterprises more effective implementation of the ERP, the following about how to fast, low-cost, low error rate to complete the basic data preparation. ERP the main role of which is enterprise information integration, and carrier of information and expression must be completed through the data. Of project implementation is concerned, the basic data preparation the most difficult.
First, the basic data covers a wide range of businesses covering all visible information and the information is not visible. Basic information materials, product structure data, accounting subjects, suppliers, customer information, departments, factories, warehouses, workshop information, etc. are visible information, which will be used in manual operations. Not visible information such as document type, warehouse properties, planning parameters, the information in the manual management information is not involved, they will affect the system calculation.
In addition, the basic data preparation of the heavy workload, all types of information more than the number of records from a few to hundreds of thousands have, but each record can also contain up to hundreds of fields, both the product was an astronomical figures, usually the reasons for delay caused by the project 90% of the basic data comes from finishing.
Accuracy of the data is the most important and basic data is the basis for many programs to run properly, such as material planning and production planning is to set the file under the material lead time, inventory, BOM Structures calculated, and if any one of them does not match the data with the actual plan the result will have no significance.
It is precisely because the basic data with these characteristics, resulting in the collection of ready heavy workload, difficult organization, generally require the coordination of various departments, the investment of manpower and time than more, bear fruit long cycle, so the resistance is great.
In order to help companies more effectively the implementation of ERP, Here to talk about how to fast, low-cost, low error rate to complete the basic data preparation.
Step one: determine the scope of work
First, under the ERP project scope to determine what data need to be prepared, and then determine the participating departments and staffing, and thus establish work plans, bearing in mind all the work must not be handed over to a department or even only one person, we must work hard to this extent there is sufficient knowledge. The work plan should also pay attention arrange regular meetings to facilitate communication among staff.
Step two: to establish the necessary coding principles
ERP software for data management is achieved through coding, coding, data can be a unique identity, and through subsequent inquiries and application of the principle of the establishment of codes is to enable one to work behind the principles, but also for the vast and complex data to determine the database can identify the unique identification method, the so-called Preparation may quicken the work, we must not be impatient for success, ignore these important tasks.
In addition, the coding part of the formulation of the principle of the establishment of enterprise-class standards, it should be in accordance with ISO9000 standard-setting and management, especially for large amount of basic data (such as material master file encoding) must be shared by multiple departments to determine the program.
step three: the establishment of Public Information
Establishment of public information including company, subsidiaries, factories, warehouses, department, employee information, currency codes and other basic information. These data will be referenced in other underlying data, and the small amount of data, we can use less time and manpower to complete. If you order other data it was discovered that the lack of public information an important qualification, then the overall efficiency and progress will be greatly reduced.
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