MDM data analysis function description

MDM The design concept of the basic data platform is Ensure the correctness of master data in each system 、 Reusability and versatility . Integrate the master data of the enterprise through the basic data platform , Centralized data cleaning and standardization , And integrate the unified 、 complete 、 accurate 、 Authoritative master data is distributed to all business systems .

Recently participated in MDM Development of data analysis function , This document mainly introduces MDM Relevant functions of data analysis and technical points in the development process , And personal experience of this function development . 

1 Overall introduction  

AEAI MDM The basic data platform can help enterprises create and maintain a unified view of master data , By ensuring the accuracy of the unified view 、 Consistency and integrity , Improve data quality , Gradually unify the enterprise data model , Simplify and improve enterprise processes and improve business responsiveness . 

1.1 Functional architecture  

MDM The products are divided into Master data management platform and MDC Console . The master data management platform is divided into ： Data management 、 Quality management and statistical analysis .MDC The main functions of the console are ： Data modeling , Functional modeling , Process modeling , Application management , Using these functions, different master data management systems can be generated automatically , So as to manage the data 、 Data statistics .MDM Add organization in system management , personnel , Position , And corresponding permissions can be configured . 

1.2 Platform value  

1. Eliminate data redundancy ： 

Different departments obtain data according to their own needs , It is easy to cause repeated data storage , Form data redundancy . The master data connects the business chains , Unified data language , Unified data standards , Realize data homology 、 Data sharing , Eliminate data redundancy to the greatest extent . 

2. Improve data processing efficiency ： 

Each department has different definitions of data , The data of different versions are inconsistent , A core subject has multiple versions of information , It requires a lot of manpower cost 、 Time cost to organize and unify . Through master data management, data dynamic automatic sorting can be realized 、 Copy , Reduce the time and workload of manual data collation . 

3. Improve strategic synergy ： 

Through one entry of master data 、 Quote... Many times , Avoid repeated entry of master data in multiple departments and lines . The data is used as the internal operation analysis of the company 、 Decision support “ Traffic voice ”, After the unification of multiple departments , Help get through the Department 、 Systemic barriers , Realize information integration and sharing , Improve the overall strategic synergy of the company . 

1.3 Functional specifications  

The data analysis function is mainly used to make statistics on the master data , It is divided into data perspective and application perspective . Both the data perspective and the application perspective include the following three types of statistical charts ： Data static statistics 、 Data synchronization statistics 、 Data distribution statistics . 

  

2 Data angle  

Data analysis adopts the data model of left tree and right table , The left side is the tree of main data , On the right is the statistical chart information of the corresponding master data , It is divided into ： Data static statistics 、 Data synchronization statistics 、 Three parts of data distribution statistics . 

2.1 Static data  

It mainly refers to the source of each master data 、 Status and associated reference data . 

2.2 Data synchronization  

It mainly counts the synchronization of master data and associated reference data . 

2.3 Data dissemination  

It mainly counts the distribution of master data and related reference data . 

3 Application angle  

The application angle analysis adopts the data model of left tree and right table , On the left is the application system tree , On the right is the statistical chart information of the corresponding application system , It is divided into ： Data static statistics 、 Data synchronization statistics 、 Three parts of data distribution statistics . 

3.1 Static data  

It mainly makes statistics on the related master data and corresponding reference data under each application system . 

3.2 Data synchronization  

It mainly makes statistics on the synchronization of the master data associated with each application system and the corresponding reference data . 

3.3 Data dissemination  

It mainly makes statistics on the distribution of master data associated with each application system and corresponding reference data . 

4 Technical points  

This module mainly introduces the technical points involved in this development 、 Database tables and SQL How to write sentences . 

4.1 Data model  

1. Master data sheet （mdm_mentity） 

2. Reference data sheet （mdm_codelist） 

3. Application table （mdm_application） 

4. Master data synchronization table （customer_sync） 

5. Master data is distributed （customer_dispatch） 

4.2 Chart components  

In this development , Mainly used echarts Chart technology ,ECharts The full name is Enterprise Charts, Business class data charts , It is an open source product developed by Baidu company .ECharts It's pure. JavaScript Chart Library of , Provide intuitive , vivid , Interactive , Highly customizable data visualization chart . it The base On html5 And good compatibility , It has a good animation rendering effect . The official website provides a histogram 、 Broken line diagram 、 The pie chart 、 The dashboard 、 Template charts such as maps and bubble charts . 

Common configuration items ： 

（1）title： Title Component , Include main title and subtitle . 

（2）tooltip： Prompt box , Often used to present more detailed data . 

（3）legend： legend , Express the relationship between data and graphics . 

（4）grid： Drawing grid in rectangular coordinate system , Single grid Up to two can be placed inside X Axis , Left and right Y Axis . You can draw a line chart on the grid , Histogram , Scatter plot （ Bubble chart ）. 

（5）xAxis： Rectangular coordinate system grid Medium x Axis , It is usually and defaults to category type . 

（6） yAxis： Rectangular coordinate system grid Medium y Axis , Usually, it is numeric by default . 

（7） series： Data series , A chart may contain multiple series , Each series may contain multiple data , adopt type Determine the chart type of the series . 

4.3SQL writing  

In this development , Need to be in handler Splicing in the file SQL sentence , Then call the corresponding method to query . 

5 Experience  

Developing MDM In the process of data analysis function , I have learned that MDM Some basic functions of the master data management platform , So that their technical ability and ideology have been improved in many aspects , And have a lot of feelings , Now I will summarize my achievements in this work as follows . 

5.1 Function development  

When developing functions, we should consider all aspects , Think from the customer's point of view , Write detailed design documents first , Find relevant personnel to communicate and confirm before development , After development From business 、 performance 、 Test the function in terms of safety , Only in this way can the developed functions be more perfect , And meet the needs of customers . 

5.2 Learning methods  

Learn to use the chain learning method in the process of work , Chain learning can make the learning content more coherent , Understand the background knowledge of the content before learning new knowledge , Then according to their own needs targeted learning , At the same time, understand other knowledge encountered in the learning process , Take the initiative to find relevant materials for learning , Grasp a typical example and you will grasp the whole category , Master together , From point to line , From line to surface , Connect the learned knowledge to form a system . 

5.3 Product understanding  

With the rapid development of science and Technology , Enterprise information construction is becoming more and more perfect , More and more systematic , More and more application systems are used , A large amount of data will be deposited during business development , however These data do not bring intuitive value to the enterprise , Form the data assets of the enterprise , Therefore, more and more enterprises have entered the data governance stage , The demand for master data governance is becoming more and more clear . 

MDM As a data management platform for data governance and cleaning , Enable the master data of the enterprise Have uniqueness 、 accuracy 、 Uniformity 、 timeliness , To ensure the accuracy of master data , The data analysis of master data can help business personnel view the indicators of master data life cycle , So that we can deal with emergencies quickly , Make enterprise informatization more perfect . The data analysis function developed this time can classify and count the master data , And show it in the form of charts , Be able to maximize the development of data functions , Play the role of data .