Big Data Technology in the Macrodecision-Making Model of Regional Industrial Economic Information Applied Research

Abstract

In the era of Internet +, modern industry has developed rapidly, the network economy has promoted the great development of the industrial economy, and the traditional industrial economic statistics method has not been suitable for the development needs of modern enterprises. In today’s society, it can be described as the era of big data, the use of big data technology for industrial economic statistics is needed for the development of industrial modernization, and it is also a new requirement for industrial economic statistics put forward by social development. With the wide application of Internet of Things, cloud computing, mobile Internet, remote sensing, and geographic information technology in the economic field, precise economic policies have gradually developed and matured. Especially for different industries in the regional economy, according to the big data in the region, the big data mining technology and analysis technology can be used to obtain the development situation and future trend of the industrial economy in a timely and effective manner. Applying big data technology to macrodecision of regional economic information is an effective way to make macrodecision of current economy. Based on this background, this paper proposes a macroeconomic decision-making method for regional industries based on big data technology. Using data mining technology, time series data analysis methods combined with artificial intelligence analysis, the development trend of regional industries is obtained, and then the development trend of the industry is obtained. Development makes macroeconomic decisions. Taking agriculture as an example, the most popular analysis of the price trend of a certain agricultural product provides an effective reference for the development strategy of this agricultural product. The results show that the method proposed in this paper can effectively apply big data technology to the macrodecision-making of regional industrial economy. And it has better promotion significance.

Big data in the business environment: an analysis of its contributions to Competitiveness. A Literature Review

“…The application of computer technology in industrial economic statistics is an inevitable requirement for industrial modernization and development, and it is also a new social development requirement for industrial economic statistics. Along with the widespread use of the IoT, cloud computing, mobile Internet, remote sensing, and geographic information technologies in the economic field, a more precise economic policy has gradually developed and matured (21).…”

Research on Correlation Analysis Modeling between Economic Growth and Region Information-oriented

“…Correlation analysis is a statistical technique used to measure the strength of the relationship between two or more variables. Correlation analysis method is utilized to determine if there is a correlation between two variables and if contains the correlation, determining the specific values to quantify the correlation parameter [6] . Correlation analysis can also be utilized to identify relationships between multiple variables including the relationship between economic growth and region information-oriented.…”

Retracted: Big Data Technology in the Macrodecision‐Making Model of Regional Industrial Economic Information Applied Research

“…This article has been retracted by Hindawi following an investigation undertaken by the publisher [ 1 ]. This investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process: Discrepancies in scope Discrepancies in the description of the research reported Discrepancies between the availability of data and the research described Inappropriate citations Incoherent, meaningless and/or irrelevant content included in the article Peer-review manipulation …”

“…Tis article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. Tis investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process:…”