Recently, the State Administration for Market Regulation and the National Standards Committee have promulgated and implemented the national standard "Data Analysis Methods for Market, Public Opinion and Social Surveys", which provides scientific and technological support for the development of market, social surveys and research fields.
Xu Yingcheng, the drafter of the standard and chief researcher of the China Institute of Standardization, said that in recent years, the development of big data, cloud computing, artificial intelligence and other technologies has brought new opportunities and challenges to the research industry. China has become the fifth largest market in the world's market research industry, but the standardization of market, public opinion and social research related research and data analysis methods is seriously mismatched with the scale of China's economy and the scale of the market, public opinion and social research industry. In this regard, the China Institute of Standardization, together with China City Daily, China Jiliang University and other units have developed the standard after several years.
Du Yingzi, the drafter of the standard and editor-in-chief of China City Daily, said that investigation and research is an important business of China City Daily. The standard aims to improve the research effect, ensure the standardization and reliability of the market, public opinion and social survey industry analysis reports, ensure the feasibility of the survey report results, and promote the healthy development of the industry.
The important role of the national standard "Data Analysis Methods for Market, Public Opinion and Social Surveys" is to improve the insight of the corresponding subjects. Chang Liang, vice president of China City Daily, explained that insight not only refers to observation, but also includes the ability to analyze and improve, and is the comprehensive ability to see the essence through phenomena. "Insight allows the subject to Xi looking at problems from multiple angles and relying on data to better understand and solve problems. This ability can help the industry and enterprises to enhance their competitiveness and obtain greater development opportunities. Chang Liang said. (Li Xiang, Gong Jing).