T/QBDA 3004-2021 Big Data Enterprise Evaluation Standards
T/QBDA 3004-2021
Basic Information
Scope
Main Technical Content: 3.3 Big Data Enterprises A big data enterprise refers to any entity that has various connections with big data, including three categories: big data product and service enterprises, big data infrastructure support enterprises, and big data integration application enterprises. Here, "enterprise" broadly refers to all types of organizations, including registered companies, partnerships, sole proprietorships, collective enterprises, as well as scientific research institutions, private non-enterprises, and social organizations. 4. Requirements for Big Data Enterprises 4.1 Basic Qualification Conditions 4.1.1 Legally established within China and possessing the ability to independently assume civil liability. 4.1.2 Comply with national laws and regulations, operate with integrity, and pay taxes according to the law. 4.1.3 The enterprise's main business is closely related to data. 4.2 Requirements for Big Data Product and Service Enterprises 4.2.1 Meet the definition characteristics of big data product and service enterprises, with their main business focused on big data and the ability to provide big data products and services. 4.2.2 Possess one or more certified big data products. 4.2.3 Own core big data data resources or key technologies, with the total amount of value-added utilization of data resources and R&D expenses accounting for no less than 6% of the enterprise's total sales (operating) revenue. Among this total, the amount of R&D expenses incurred within China should account for no less than 60%. 4.2.4 Employ big data-related workers with college-level or higher education who have signed labor contracts, accounting for no less than 30% of the enterprise's average monthly total staff in the current year. Among these workers, R&D personnel in big data should account for no less than 20% of the enterprise's average monthly total staff in the current year. 4.2.5 The revenue from sales of big data resources and pro