T/QBDA 3001-2017 Big Data Industry Statistical Frame V1.0
T/QBDA 3001-2017 Big Data Industry Statistical Frame V1.0
Basic Information
Scope
Main Technical Content: 2.1 Statistical Framework The statistical framework refers to the standards used in statistical data collection, that is, the indicator system used in data analysis. The statistical framework involves the scope, timeframe, and survey methods of statistics. If the scope, timeframe, or methods differ, the statistical data for the same indicator may also vary. 2.2 Big Data Industry The big data industry refers to related economic activities focused on data production, collection, storage, processing, analysis, and services, including data resource construction, the development, sale, and lease of big data software and hardware products, as well as related information technology services. 3. Relationship between the Big Data Industry and Other Industries From the supply-side perspective, the big data industry can be defined at two levels: narrow and broad. The narrow-sense big data industry is the core foundation of the big data industry. Without this core foundation, there can be no big data industry. The broad-sense big data industry refers to industries related to the ultimate value creation of big data in various fields, beyond the scope of the information industry or information technology. From the demand-side perspective, it is directly reflected in the investment in big data applications. Without such investment, the value of big data cannot be realized. From a global perspective, the following equation holds: Big Data Application Investment = Big Data Industry Output Big Data Industry Output = Broad-Sense Big Data Industry Output + Narrow-Sense Big Data Industry Output 4. Statistical Scope of the Big Data Industry in Qingdao City At present, the big data industry in Qingdao City is in its initial stage, and the statistical scope of the big data industry is temporarily considered as follows: First, enterprises registered in Qingdao City and its subordinate regions, mainly engaged in big data and related businesses, w