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Method and system for reallocating jobs for checking data quality

A technology of data quality and operation, which is applied in the field of data quality inspection and data processing, and can solve problems such as strong response time and changes of external resources

Active Publication Date: 2014-03-12
IBM CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Yet another problem is that the runtime behavior of QA may vary strongly and unpredictably with the data being evaluated and / or the response time of external resources including some parts of the data to be evaluated by the ERP system

Method used

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  • Method and system for reallocating jobs for checking data quality
  • Method and system for reallocating jobs for checking data quality
  • Method and system for reallocating jobs for checking data quality

Examples

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Embodiment Construction

[0048] figure 1 shown for example by means of figure 2 Flowchart of the methodology of a data quality management system (DQMS) to assess data quality in a flexible and efficient manner depicted in . The DQMS guarantees data integrity and quality for applications such as ERP systems that include business objects such as "customers", "orders", "departments" or "employees". This is done through proactive data quality checks that prevent the addition of erroneous data from the start and / or through retroactive data quality checks that automatically after the erroneous data is mostly stored in the database of the ERP system The erroneous data are determined and optionally also eliminated. For example, DQMS can automatically ensure that customer address data, such as email address, date of birth, etc., are entered in a consistent and valid data format. In addition, data quality checks on multiple BO operations can ensure that the semantic content of different BOs does not contrad...

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PUM

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Abstract

The invention relates to a method for computer implementation. The method is used for checking the quality of data of an application program (366) by a data quality management system (310). The method comprises the steps of executing (102) at least one of a plurality of work (332), which is suitable for assessing the consistency between the data and one or a plurality of quality standard; monitoring the running of at least one work; recategorizing the work through reallocating at least one monitoring work to a work group representing the current running.

Description

technical field [0001] The present invention relates to the field of data processing, and more particularly to the field of data quality checking. Background technique [0002] Enterprise resource planning (ERP) systems and related data management systems are vital to all kinds of industries and technical procedures. Significant financial and time investments are spent on suppressing and eliminating erroneous data within the ERP system, as erroneous data can result in faulty manufacturing processes, data loss, and can render critical important data sets useless. [0003] Some ERP systems are already accompanied by some integrated modules for data quality assurance. Instead of or in addition to the integration modules, external systems are often used in order to ensure and maintain data quality. A problem associated with using external systems for data quality checks is that additional time is required to adapt the external systems to the semantic structure of the business ...

Claims

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Application Information

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IPC IPC(8): G06Q10/06
CPCG06F9/50G06F11/3419G06F2201/81G06F11/3466G06F9/4843G06F16/254G06F16/283G06F16/24565G06F16/215G06F11/3447G06F11/3065
Inventor M·格拉塞尔特A·迈尔
Owner IBM CORP