当前位置:网站首页>Master data management of scientific research institutes? Suppliers or customers? I am a correspondent
Master data management of scientific research institutes? Suppliers or customers? I am a correspondent
2022-06-26 09:15:00 【Merrill Lynch data tempodata】
- From a business perspective , The standardized management of data resources is important for promoting the application of industry finance integration , Break through business process breakpoints , It is of great significance to seamlessly support business operations . ·
- From a management perspective , The standardized management of data resources is conducive to standardizing the management foundation , Managing and retroactive claims 、 The debtor , It is conducive to internal control management and supervision of performance . ·
- From the information level , The standardized management of data resources is conducive to the unification of data models and control standards ; It is conducive to the establishment of enterprise level data center and highly integrated mapping relationship .
One 、 Business status and problem analysis
A research institute specializes in the development of complete electromechanical equipment . Many suppliers are involved in daily work 、 The customer's trade , At the supplier 、 There are the following problems in customer information management :
problem 1: Management responsibilities are scattered
Different departments are in charge of different businesses , As a result, the information of external units is undertaken by multiple departments .
The existing equipment production suppliers are managed by the quality department , Equipment procurement suppliers are managed by the procurement department , Suppliers of equipment and facilities are managed by the planning and development department , Office supplies 、 Suppliers of miscellaneous goods are managed by the general management office . Special product customers are managed by the special product department , General product customers are managed by the general product department .
Bank information is not managed by the business unit ( In particular , The bank information of equipment production suppliers is managed by the quality department , The bank information of special product customers is managed by the special product department ), Supplementary entry by financial department 、 Manage all suppliers 、 Customer's bank information .
problem 2: The way of management is not unified
Different departments have different management methods : Platform system VS Offline form .
Existing equipment production suppliers are managed in the quality management system , Equipment procurement 、 The supply of equipment and facilities is managed in the integrated management platform , Office supplies 、 Suppliers of miscellaneous goods are offline EXCEL In the management ; Special product customers are managed in the integrated management platform , Common product customers are offline Excel management .
problem 3: Information sharing is inefficient
Business and management are disconnected , The supplier or customer information managed by each department is not directly shared with other departments , For internal use in their department .
Such as : The financial department needs to rely on paper contracts for all suppliers / Manual extraction of customer information , Call to confirm , Then manually enter in the financial system ; Other departments with use needs rely on the copies of paper contracts for manual extraction , Inefficient work .
problem 4: Lax standards affect financial business
The rules are different 、 Multi head maintenance , The repetition is serious .
Identify the supplier with the unit name as the identification / Whether the customer repeats , The same company is both a supplier and a customer , In the supplier and customer information of different departments , The names may not be the same ( for example : Technology Corporation 、 Science and technology company 、 Technology Co., Ltd ), As a result of multi head management, more than two codes will appear in a company . Lead to the same supplier / The customer's arrears have not been collected , The problem of paying the unit occurs from time to time , It is difficult to detect the risk of bad debts in time .
Two 、 Master data governance solutions
Because the Institute supplier 、 The customer information is crossed 、 repeat ; There are a large number of common basic attributes of the two types of information at the data level ( Such as the name 、 code 、 Unified social information code and other attributes ), Have natural merger conditions ; And the business systems that manage and use the two types of information also intersect , The data integration interface can be shared ; Therefore, the supplier and customer information will be consolidated “ Current unit ”, And classify . The master data solution of the current company is as follows :
chart 1:“ Current unit ” Master data example 
chart 2:“ Current unit ” Master data construction diagram
1、 Data standards
The master data management platform serves as the source system of the master data of the current company , Quality Division 、 Procurement Division 、 Planning and development division 、 General management division 、 Special products department 、 The general product department and other departments are the maintenance departments for the master data of the transaction company , The original business responsibilities will not be affected .
The transaction company master data attribute is divided into “ Basic information ” and “ Bank information ” Two groups , And define the quality specification for each attribute . Basic information includes transaction company code 、 Name of the company 、 Unified social information code 、 Legal representative, etc. ; The bank information includes the name of the account 、 Bank of deposit 、 Bank accounts, etc .
The unified social credit code is used as the unique identification field of the primary data of the transaction company , And required , Prevent repeated data entry , Ensure that the master data of the current company is unique .
2、 Data cleaning
Organize relevant departments to investigate the problems involved in each section 7200 The master data of more than one transaction unit is comprehensively cleaned , Compare the master data of the Institute's full volume exchange units 、 Summary 、 Comments and rectification , Sort out the effective transaction company data 6100 More than one .
3、 Maintenance process
Based on master data management platform , Control the data management authority of each department , It is divided into “ edit ” and “ see ”. Related business departments have edit permission for the basic information of the transaction company they need to maintain , You can only view the basic information of the transaction company maintained by other departments ;
Provide perfect data revision mechanism . Quality Division 、 Procurement Division 、 Planning and development division 、 General management division 、 Special products department 、 The general product department and other departments can be based on the basic information of the transaction company , Maintain bank information ; If subsequent maintenance / The user department finds that the bank information is wrong , It can be communicated offline 、 The combination of online revision process review , Revise the bank information .
4、 Integrated application
Take the master data management system as the company information ( contain : Basic information and bank information ) The basic management platform , With ESB As the key path of data flow , Quality management system 、 Integrated management platform 、 Financial system 、 The warehouse management system and other business systems serve as the main platform for business flow , Get through “ scientific research - purchase - financial ” Data integration link , Realize data exchange between systems , Realize one entry and multiple uses , Active push after data update , Realize data sharing and exchange .
3、 ... and 、 Project implementation results
01、 Improve data quality
Clean and eliminate garbage data 1100 More than one , Purified the data of each business department and each business system , Helped each department to clarify the current contacts , Improved the quality of master data of current companies .
02、 Improve work efficiency
Unify the data acquisition caliber of each department's transaction units , It takes the financial department from... To obtain the transaction unit data 2 The sky drops to the second level , Improved data flow efficiency , Reduce the workload and work difficulty of the financial department .
03、 Standardize financial transactions
It provides convenience for all kinds of statistical analysis with transaction units as the main body , It effectively avoids uncollected debts of the same transaction company , The problem of paying the unit occurred .
04、 Avoid bad debts
Through the master data management of the transaction company , Assist the financial department to check the business bills of all cooperative units in time , Sort out the account details of each project , Sort out bad debts that may be overdue 500 More than , Collection of accounts 350 More than , Effectively avoid the occurrence of bad debt to bad debt .
边栏推荐
- Phpcms V9 background article list adds one click push to Baidu function
- Unity WebGL发布无法运行问题
- Self taught neural network series - 4 learning of neural network
- docker安装redis
- Sqoop merge usage
- PD fast magnetization mobile power supply scheme
- Section IV HQL execution process
- Regular expression
- Practice is the fastest way to become a network engineer
- 行為樹XML文件 熱加載
猜你喜欢

How to convert wechat applet into Baidu applet

Uniapp uses uparse to parse the content of the background rich text editor and modify the uparse style

微信小程序如何转换成百度小程序

51单片机ROM和RAM

Edit type information

MySQL cannot be found in the service (not uninstalled)

报错ImportError: numpy.core.multiarray failed to import

JSON file to XML file

Self taught neural network series - 9 convolutional neural network CNN

Data warehouse (3) star model and dimension modeling of data warehouse modeling
随机推荐
Unity connects to Turing robot
Phpcms V9 mall module (fix the Alipay interface Bug)
Yolov5 advanced zero environment rapid creation and testing
[qnx hypervisor 2.2 user manual]12.1 terminology (I)
Pytorch neural network
Upgrade phpcms applet plug-in API interface to 4.3 (add batch acquisition interface, search interface, etc.)
Lagrange multiplier method
How to compile builds
Code de mise en œuvre de l'intercepteur et du filtre
Machine learning (Part 1)
Nacos registry structure and the principle of massive service registration and concurrent read-write source code analysis
How to set the shelves and windows, and what to pay attention to in the optimization process
Unity webgl publishing cannot run problem
20220623 Adobe Illustrator入门
PD fast magnetization mobile power supply scheme
Notes on setting qccheckbox style
Graduation thesis management system based on SSM
Execution process at runtime
Phpcms applet plug-in version 4.0 was officially launched
[open source] use phenocv weedcam for more intelligent and accurate weed management