Problem data full-life-cycle data quality management method and system

Abstract

The invention discloses a problem data full-life-cycle data quality management method and system. After a unique fingerprint code is established based on problem data, a problem data fingerprint database is established, and full-life-cycle supervision and monitoring of problem data are realized; and lean management of problem data is effectively improved; problem data full-flow closed-loop controlcan be realized, and multi-dimensional angle analysis statistics of the problem data can be realized. The data quality lean management of the problem data in the full life cycle is improved, the renewal time, stock and increment problem data change conditions of the problem data and the type and rule of the problem data can be analyzed, the data quality management and control capacity of an information center is enhanced through multi-dimensional analysis of indexes and the problem data, and data management is persuasive, visible and manageable.

Description

technical field [0001] The invention relates to a data quality management, processing and analysis technology, in particular to a data quality management method and system for the whole life cycle of problem data. Background technique [0002] As one of the important contents of data asset management, data quality management is the basis for the efficient operation of the company's business domains. It is related to the success or failure of the lean management work and big data analysis work in each business domain, and is crucial to the promotion of the company's data decision-making ability. role. [0003] At present, the data quality management of CSGII information system uses the provincial company data resource management platform as the main support tool, focusing on the core data of each business system, the integrity, standardization, accuracy, timeliness and consistency of indicators to carry out notification and supervision work, every Data quality indicators for...

AI Technical Summary

Problems solved by technology

[0004](1) The provincial company data resource management platform focuses on indicator management and control, and cannot track and manage problem data, and the control strength and granularity are not fine enough

[0005](2) The management of data governance is concentrated at the level of the power supply bureau, involving 6 business domains and collaborative domains, and the workload of data collation and index analysis is heavy

[0006](3) Unable to realize control over the power supply station level and various grassroots units

The information personnel of the county-level power supply bureau lack effective support tools to realize the data quality management of the unit, and the support for the data governance of the unit is weak

[0007] (4) The existing data resource management platform only provides scan reports and lacks data analysis and statistics functions. Data analysis and statistics require manual export of original data, which is carried out through excel forms, and it takes a lot of time and manpower to prepare notification documents every month. Notification frequency and efficiency are low

[0008](5) A large amount of historical data has been accumulated, and there is a lack of effective storage and application methods for these historical data

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