T/SZAS 62-2022 Abolished Group standards

T/SZAS 62-2022 Quality grading and "Pioneer" evaluation requirements for data quality enhancement system

Publish Date: 2022-11-11 Implement Date: 2022-11-18 For services related to genuine standard inquiry, procurement, translation, and other related services in China, please Contact Us

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Basic Information

Standard Code: T/SZAS 62-2022

Standard Type: Group standards

Standard Status: Abolished

is_force_gb: no

CCS Name: -

ICS Name: Comprehensive Application of Information Technology

Publish Date: 2022-11-11

Implement Date: 2022-11-18

Scope

Scope: This document specifies the quality evaluation indicators, evaluation methods, and grading standards for data quality enhancement systems and enterprise standards. This document is applicable to the quality evaluation of data quality enhancement systems and enterprise standards in software and information technology services. Relevant institutions can refer to it when conducting quality grading and enterprise standard evaluations, evaluating "leaders", and conducting related certifications. Enterprises can also refer to this document when formulating their own enterprise standards. Main Technical Content: 2. Evaluation Indicator System: Chapter 5 of this standard mainly elaborates on the basic requirements, evaluation indicator classification, and evaluation indicator system framework of the "leader" standard for data quality enhancement systems. The evaluation indicators include basic indicators, core indicators, and innovative indicators. The basic indicators involve general technical capabilities of data quality enhancement systems, including data standard management capabilities. The core indicators are selected based on the advanced level required by the general principles, which is achieved by the top 20% mainstream enterprises in China, including quality analysis capabilities, data cleaning capabilities, and data integration capabilities. Since there are currently no relevant standards at home or abroad, the core indicator items cannot be compared with corresponding items in related domestic and international standards. The innovative indicators include standardized modeling capabilities and data quality knowledge base management capabilities. 3. Evaluation Methods: Chapter 6 of this standard mainly elaborates on the evaluation methods for the "leader" standard for data quality enhancement systems. The evaluation results are divided into three levels: Level 1, Level 2, and Level 3. Enterprises that meet the requirements of Level 3 or higher and publicl