Data quality verification method and system based on double helix management

A technology for data quality and verification methods, applied in the field of data management, can solve problems such as low data management efficiency, and achieve the effect of promoting the level of data governance, improving data management efficiency, and efficient data governance efficiency.

Active Publication Date: 2020-02-21
STATE GRID ANHUI ELECTRIC POWER +2
View PDF10 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the embodiment of the present invention is the low efficiency of existing data management

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Data quality verification method and system based on double helix management
  • Data quality verification method and system based on double helix management
  • Data quality verification method and system based on double helix management

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0048] see figure 1 , is a flow chart of the double-helix management-based data quality verification method provided by the first embodiment of the present invention, including steps:

[0049] Step S10, acquiring business requirements and data requirements, and performing traceability on the business requirements and the data requirements respectively, so as to generate business traceability information and data traceability information;

[0050] Among them, by researching the needs of various business departments such as business allocation and deployment, sorting out the collected needs to establish a business demand resource pool, and making priority judgments for each business demand in the business demand resource pool, so that the corresponding priority is marked, Thus, it is possible to trace the source of important requirements in a targeted manner;

[0051] In this step, by collecting the most urgent and important data application requirements of the management and b...

Embodiment 2

[0061] see image 3 , is a flow chart of the double-helix management-based data quality verification method provided by the second embodiment of the present invention, including steps:

[0062] Step S11, obtaining business requirements and data requirements, analyzing the reasons for generating the business requirements, querying solutions according to the analysis results, and generating a business traceability analysis report according to the solutions;

[0063] Step S21, analyzing the demand reason for the data demand, locating the target data according to the analysis result, and generating a business traceability analysis report according to the target data;

[0064] Step S31, querying the target processing flow and the target transmission flow according to the target data, and generating a data dictionary and a data flow chart according to the target processing flow and the target transmission flow;

[0065] Among them, start with data items to conduct demand analysis a...

Embodiment 3

[0084] see Figure 4 , is a schematic structural diagram of a data quality verification system 100 based on double-helix management provided by the third embodiment of the present invention, including: a demand acquisition module 10, an information analysis module 11, a measure implementation module 12, and a data verification module 13, wherein:

[0085] The requirement acquisition module 10 is configured to acquire business requirements and data requirements, and perform traceability on the business requirements and the data requirements respectively, so as to generate business traceability information and data traceability information.

[0086] Wherein, the requirement acquiring module 10 is also used for: analyzing the reason for generating the business requirement, querying the solution according to the analysis result, and generating a business traceability analysis report according to the solution; analyzing the reason for generating the data requirement , locate the ta...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention is suitable for the technical field of data management, and provides a data quality verification method and a system based on double helix management, and the method comprises the steps:obtaining a business demand and a data demand, carrying out the tracing of the business demand and the data demand, and generating business tracing information and data tracing information; formulating a service specification according to the service traceability information, performing data evaluation according to the data traceability information, and formulating a data optimization scheme according to an evaluation result; implementing business processing according to business specifications, and implementing data optimization according to a data optimization scheme; and performing data verification on the local database, and performing data replacement according to a verification result. According to the method, service requirements, service traceability, service specification formulation and service processing implementation are designed; a service closed-loop structure is formed, a data closed-loop structure is formed through data demand acquisition, data tracing, data evaluation and data optimization design, a double-helix management mechanism is formed through the service closed-loop structure and the data closed-loop structure, and the data management efficiency is improved.

Description

technical field [0001] The invention belongs to the technical field of data management, and in particular relates to a data quality checking method and system based on double helix management. Background technique [0002] With the increasing scale of the enterprise, there will be multiple business systems within the enterprise to provide corresponding data management and services, and the correlation between business and business is also increasing. There is a close relationship between each business system. Business systems will call the data or services of other business systems. While the business system assumes more and more functions and plays an increasingly important role, the system has accumulated more and more data over the years. These data are valuable assets of the enterprise, but at the same time, because storing and processing these Host and storage devices, and the massive data stored in the system makes the system slower and slower, so these precious data ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/215G06Q10/04G06Q10/06
CPCG06F16/215G06Q10/04G06Q10/06395Y02P80/10
Inventor 郑高峰韩学民刘朋熙李周邓小明王旭东胡聪林航许中平胡栋梁
Owner STATE GRID ANHUI ELECTRIC POWER
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap