Data asset management and monitoring method based on artificial intelligence technology

A technology of artificial intelligence and data assets, applied in the field of computer applications, can solve problems such as low labor efficiency and high operating costs, and achieve the effects of saving resources, shortening matching time, and reducing personnel workload

Inactive Publication Date: 2019-08-23
徐峰 +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Relying on manual processing has the disadvantage

Method used

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  • Data asset management and monitoring method based on artificial intelligence technology

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Embodiment Construction

[0039] The present invention will be further described below in conjunction with a specific embodiment.

[0040] Such as figure 1 Shown, the process of the present invention is as follows:

[0041] The first step: connect to the data source, we can connect to the ERP system and PMS system as needed.

[0042] The second step: atomic data, atomic data includes the following:

[0043] Data model: Obtain the database user table structure model of the ERP system and PMS system; Raw data: Obtain the user table data of these two systems and store them columnar on the big data platform; Atomic data: deduplicate the data stored in the column Compression forms atomic data.

[0044] Step 3: Data Discovery Engine,

[0045]Model calculation: use ERP and PMS atomic data for content-level model result calculation, mainly for the completeness of model Chinese annotations, model naming accuracy, model naming consistency, model data type consistency, model data accuracy consistency, and mod...

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Abstract

The invention relates to the technical field of computer application, in particular to a data asset management and monitoring method based on an artificial intelligence technology. The method comprises the steps of connecting an external data source, atomic data, a data discovery engine and the like. Multiple technologies such as artificial intelligence, big data and a knowledge graph are fused, traditional enterprise data asset quality management and monitoring work is replaced by 100%, the accuracy of data asset combing and business process combing is greatly improved, the workload of personnel is reduced, and resources are saved.

Description

technical field [0001] The invention relates to the field of computer application technology, in particular to a data asset management and monitoring method based on artificial intelligence technology. Background technique [0002] At present, there are some deficiencies in the processing of business data by the State Grid Corporation of China: [0003] In 2017, the total amount of data connected to the data center by the company reached 56.95T. However, the quality of the data is not high, and the identity of the data assets is not unique. The application of data assets is limited, and it is difficult to support the decision-making and application of data assets in business scenarios. Key data assets cannot run through the entire life cycle, and most of them are limited to departmental optimization, making it difficult to achieve comprehensive optimization; the management of incremental data still has the problems of inconsistent business rules and discontinuous system da...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q10/10
CPCG06Q10/0637G06Q10/103
Inventor 李大勇李群英李春马立新孔祥靖刘立明潘建宏张凯苑立民张丁文徐峰樊家树刘坤胡小磊盖飞
Owner 徐峰
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