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A data quality solution architecture based on knowledge

A data quality, data technology, applied in the field of knowledge-based data quality solutions, can solve problems such as inability to solve data association, unresolved, low data quality, etc.

Inactive Publication Date: 2013-02-13
MICROSOFT TECH LICENSING LLC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In some cases, general methods may not solve the problems associated with the data
Thus, the quality of the data that has been cleaned with the general algorithm will still be lower, because the original problem has not been solved

Method used

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  • A data quality solution architecture based on knowledge
  • A data quality solution architecture based on knowledge
  • A data quality solution architecture based on knowledge

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Experimental program
Comparison scheme
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Embodiment Construction

[0029] overview

[0030] Data quality deficiencies can have a negative (sometimes significantly negative) impact on business strategy measures. The effects of data quality deficiencies (eg, low-quality data) include: additional time spent correcting data (if errors are discovered), loss of credit, customer dissatisfaction, compliance issues, and lost revenue, among other effects. As a result, organizations of all kinds seek to improve the quality of their business data. General approaches to data quality (eg, based on zero-knowledge) are insufficient to produce high-quality data for today's business. Furthermore, knowledge-based approaches to data quality can present various challenges such as knowledge acquisition, usage, mobility, scalability, and more.

[0031] Thus, it would be beneficial to provide a knowledge-based approach to data quality through the separation of acquiring knowledge and processing knowledge to improve data quality. In an example, gathering knowledge...

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PUM

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Abstract

The invention relates to a data quality solution driven by knowledge of an abundant knowledge base. The data quality solution may provide a continuous improvement and may be based on a continuous (or continued) knowledge acquisition. The data quality solution may be establishes once and can be reused in multiple data quality improvement to same data or similar data. The disclosed aspects are easy to use and concentrate on productivity and user experience. In addition, the disclosed aspects are open and expandable and can be applied to reference data (such as a third-party data source) based on cloud and / or knowledge generated by a user. According to some inventions, the disclosed inventions can be integrated with data integration services.

Description

technical field [0001] The present invention relates generally to data quality, and more particularly to knowledge-based data quality schemes. Background technique [0002] As computing technology has improved and computing devices have become more ubiquitous, using computers for personal and business reasons has become an everyday activity. Data collections are growing exponentially to keep up with demand. The purpose of data collection and subsequent processing of data is to understand the meaning of the collected data and to compile the collected data for useful purposes. [0003] A problem associated with the accumulation of data, and any corresponding use of data, is errors contained within the data (eg low quality data). Examples of errors may include incorrect data, missing data, typos, misplaced data, duplicate data, and other problems. People and companies relying on erroneous data may base their decisions, analyses, and / or other actions on the data, and if the d...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F17/30G06F17/30303G06F16/215
Inventor J·玛尔卡E·齐克利克E·胡迪斯M·拉维夫G·皮莱格R·亚日
Owner MICROSOFT TECH LICENSING LLC