T/MSITISA 02-035-2024 Active Group standards

\nT/MSITISA 02-035-2024 Service Performance Measurement Method Data Service Market

T/MSITISA 02-035-2024

Publish Date: 2024-11-20 Implement Date: 2024-11-21 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/MSITISA 02-035-2024

Standard Type: Group standards

Standard Status: Active

is_force_gb: no

CCS Name: Standardized management and general provisions

ICS Name: Integrated services

Publish Date: 2024-11-20

Implement Date: 2024-11-21

Scope

Main technical content: The data service market is a system in which multiple data-driven entities (people, institutions, software robots, platforms, etc.) collaborate and operate jointly to provide digital customized services (such as digital government services, digital business services, and digital life services) to meet market demands in the modern service industry. The data service market emphasizes leveraging information technology to optimize and reengineer data service processes, enhancing the scientificity and effectiveness of operational decision-making. The entities in the data service market are complex and diverse, and they interact with each other in a hierarchical manner. However, there are challenges in measuring the complexity of these relationships due to the diversity of interdependencies, especially the widespread use of software robots, which has made comprehensive evaluation of human-machine collaborative services in the data service market a bottleneck restricting its high-quality development. Existing standards mainly evaluate service quality or efficiency in different scenarios, but they face challenges such as scattered evaluation indicators and insufficient adaptability to dynamic environments, and none of them are specifically tailored to the data service market. In addition, current abnormal identification methods are mostly based on single indicators or simple rules, making it difficult to address the complex and variable dynamic evolution processes in the data service market. Currently, there is a lack of unified comprehensive measurement methods for the data service market, which makes it difficult to compare and analyze the evolution results of different entities and systems and to identify abnormalities. This document establishes a unified service efficiency measurement method for the data service market, specifying the analysis of service efficiency in the data service market from the perspectives of individual entities and servic