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Big data quality standard management control method

A quality standard, management and control technology, applied in data processing applications, instruments, resources, etc., can solve problems affecting the efficiency and quality of data circulation

Inactive Publication Date: 2018-10-19
BEIJING DINGTAI ZHIYUAN TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, if the data quality of one of the above circulation links cannot be guaranteed, it will affect the efficiency and quality of the entire data circulation

Method used

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Embodiment Construction

[0057] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.

[0058] The present invention proposes a big data quality standard management and control method, which can realize the quality standard management of each link of data circulation in the entire data life cycle. Among them, the data life cycle includes data production, data testing, data storage, and data services.

[0059] Such as figure 1 As shown, the big data quality standard management and control method in the embodiment of the present invention includes the following steps:

[0060] Step S1, establishing a quality evaluat...

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Abstract

The invention provides a big data quality standard management control method, which includes establishing a quality comprehensive evaluation model, wherein the quality comprehensive evaluation model comprises a coverage rate submodel, a public trust submodel, an omission rate submodel, a fineness submodel, a consistency submodel, an accuracy rate submodel, a repetition rate submodel, a null valuerate submodel and an update frequency submodel; receiving test data, inputting the test data into a quality evaluation model, sequentially evaluating the test data according to each submodel in the quality evaluation model, and generating an evaluation result; and presenting the evaluation result of the test data to a user for viewing in the form of a graph list. The big data quality standard management control method provided by the invention realizes the quality standard management of each circulation link of data production, data testing, data storage and data service in a data life cycle.

Description

technical field [0001] The invention relates to the technical field of data collection and management, in particular to a method for managing and controlling big data quality standards. Background technique [0002] In the data life cycle, all data circulation links play an important role. The data circulation links in the data life cycle include: data production, data testing, data storage and data services. However, if the data quality of one of the above-mentioned circulation links cannot be guaranteed, it will affect the efficiency and quality of the entire data circulation. How to ensure the data quality of the above-mentioned data circulation links is a technical problem that needs to be solved at present. Contents of the invention [0003] The aim of the present invention is to solve at least one of said technical drawbacks. [0004] Therefore, the purpose of the present invention is to propose a big data quality standard management and control method to realize ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06
CPCG06Q10/06395
Inventor 高强
Owner BEIJING DINGTAI ZHIYUAN TECH CO LTD
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