Enterprise data integration oriented comprehensive data quality management method

A technology of enterprise data and data quality, applied in the direction of electronic digital data processing, special data processing applications, instruments, etc., can solve the problems of unable to cover enterprise data environment, unable to cover data quality management, labor intensity and complexity, etc., to achieve Provide labor efficiency, all-round control and improvement promotion, and facilitate diagnosis

Inactive Publication Date: 2010-05-12
INSPUR SOFTWARE CO LTD
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  • Application Information

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Problems solved by technology

[0005] Both of these schemes have relatively large limitations: for the first scheme, it often cannot cover the entire enterprise data environment, and secondly, it cannot cover the entire process of data quality management; for the second scheme

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  • Enterprise data integration oriented comprehensive data quality management method
  • Enterprise data integration oriented comprehensive data quality management method
  • Enterprise data integration oriented comprehensive data quality management method

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[0021] The present invention achieves above-mentioned goal by following measures:

[0022] 1) The present invention constructs a unique data quality rule library through in-depth analysis of the data quality evaluation framework, so as to describe the internal quality requirements of the business on the data and the internal relationship of the data. Through these rules, we can conveniently perform data analysis. Diagnosis of quality problems.

[0023] According to our in-depth analysis of enterprise data quality, we have summarized four major categories of common quality problems: accuracy problems, integrity problems, consistency problems, and timeliness problems. Each problem category can be subdivided into several subcategories. Corresponding to the category of quality problems, we abstract and summarize to obtain the enterprise data quality rule system, such as figure 1 Shown:

[0024] These rules basically achieve comprehensive coverage of enterprise data quality issu...

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Abstract

The invention provides an enterprise data integration orientated comprehensive data quality management method. The method comprises contents of rule-based data quality problem diagnosis, management and monitoring of ETL data processing process, auditing of service index consistency, intelligent merging of quality problems and the like. The method covers the whole process in the enterprise data integration from a data source, processing to final processing completion, and can comprehensively diagnose and uniformly process various quality problems in the data integration. A system developed based on the method can conveniently perform comprehensive management on the enterprise data integration process, effectively improve the enterprise data quality, and improve the value of enterprise data assets.

Description

technical field [0001] The invention relates to the field of enterprise data quality management, in particular to a comprehensive data quality management method oriented to enterprise data integration. Background technique [0002] How to use information technology to help enterprise information management departments improve data quality and thus improve the use value of information resources is a more meaningful issue. There are currently two mainstream technical solutions: [0003] 1) Data quality management as part of the overall ETL solution, such as IBM's quality stage, this solution is more concerned with the data quality issues in the process of data extraction and transformation from the online transaction system to loading into the data warehouse. [0004] 2) Data quality management combined with metadata management solutions, such as quality one of Shizhu Company. Most of these solutions center on a set of business indicators. Agents deployed in various data sou...

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Application Information

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IPC IPC(8): G06Q10/00G06F17/30
Inventor 张永刚雷天武郑斌
Owner INSPUR SOFTWARE CO LTD
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