Analysis of Enterprise Strategic Management Issues and Coping Strategies Based on Big Data Analysis

Corporate strategic management is an important management mode that affects the development of an enterprise. It plays a very important role in the development of corporate strategic management. In recent years, information technology has developed rapidly, data is frequently updated, and huge amounts of data are generated every day. Social development has entered the era of big data, which makes enterprises face more opportunities and challenges in formulating strategies and operating management. In order to enable enterprises to adapt to the development of the times and obtain healthy and sound development results. This article analyzes and summarizes the new characteristics of enterprise management in the context of big data, and applies big data analysis technology to the environmental analysis of enterprises, and points out the problems of strategic management of enterprises in the context of big data. This article aims at the current problems and proposes specific strategies after in-depth research, which provides a reference basis for strategic management of enterprises in the era of big data. It has certain practical significance and can help Chinese enterprises quickly adapt to the new environment.

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Small and Medium-Sized Enterprise Management Strategy Research Based on Big Data Analysis

2021 International Conference on Applications and Techniques in Cyber Intelligence - Lecture Notes on Data Engineering and Communications Technologies ◽

10.1007/978-3-030-79197-1_106 ◽

2021 ◽

pp. 733-739

Author(s):

Zhishan Zheng ◽

Huojun Zhu ◽

Liangting Wang

Keyword(s):

Big Data ◽

Data Analysis ◽

Management Strategy ◽

Big Data Analysis ◽

Enterprise Management ◽

Strategy Research

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Research on O2O Platform and Promotion Algorithm of Sports Venues Based on Deep Learning Technique

International Journal of Information Technology and Web Engineering ◽

10.4018/ijitwe.2018070105 ◽

2018 ◽

Vol 13 (3) ◽

pp. 73-84

Author(s):

Kaiyan Han ◽

Qin Wang

Keyword(s):

Big Data ◽

Deep Learning ◽

Data Analysis ◽

Joint Distribution ◽

Big Data Analysis ◽

Practical Significance ◽

Hidden Variable ◽

Optimal Value ◽

Learning Technique ◽

Sports Venues

In the era of big data, intelligent sports venues have a practical significance to provide personalized service for users and build up a platform for stadium management. This article proposes a new parallel big data promotion algorithm based on the latest achievements of big data analysis. The proposed algorithm calculates the optimal value by using the observed variables Y, the hidden variable data Z, the joint distribution P (Y, Z | θ) and distribution conditions P (Z | Y | θ). The experimental results show that the proposed algorithm has higher accuracy of big data analysis, and can serve the intelligent sports venues better.

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Influencing Factors and Forecasting Statistics of Enterprise Market Sales Based on Big Data and Intelligent IoT

Wireless Communications and Mobile Computing ◽

10.1155/2021/9981581 ◽

2021 ◽

Vol 2021 ◽

pp. 1-13

Author(s):

Zhen Guo ◽

Tao Zou

Keyword(s):

Big Data ◽

Data Analysis ◽

Big Data Analysis ◽

Classification Algorithm ◽

Processing Method ◽

Enterprise Management ◽

Training Process ◽

Data Processing Method ◽

Knn Classification ◽

Positive Effect

With the acceleration of economic development, enterprise management is facing more severe challenges. Big data analysis based on the intelligent Internet of Things (IoT) has a positive effect on the development of enterprise management and can make up for the shortcomings of enterprise management. In this paper, we develop a big data processing method based on intelligent IoT which can mine the factors that affect the company’s market sales from the collected data. Then, we propose a KNN classification algorithm based on overlapping k -means clustering. This algorithm adds a training process to the traditional KNN algorithm, which can accurately classify data and greatly improve the efficiency of the classification algorithm. Numerical analysis results prove the effectiveness of the proposed algorithm.

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Research on O2O Platform and Promotion Algorithm of Sports Venues Based on Deep Learning Technique

Deep Learning and Neural Networks ◽

10.4018/978-1-7998-0414-7.ch086 ◽

2020 ◽

pp. 1547-1558

Author(s):

Kaiyan Han ◽

Qin Wang

Keyword(s):

Big Data ◽

Deep Learning ◽

Data Analysis ◽

Joint Distribution ◽

Big Data Analysis ◽

Experimental Results ◽

Practical Significance ◽

Hidden Variable ◽

Optimal Value ◽

Sports Venues

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The link between transformational leadership and the team performance in China through big data analysis

E3S Web of Conferences ◽

10.1051/e3sconf/202125101040 ◽

2021 ◽

Vol 251 ◽

pp. 01040

Author(s):

Mingxi Peng

Keyword(s):

Transformational Leadership ◽

Big Data ◽

Data Analysis ◽

Team Performance ◽

Management Practice ◽

Big Data Analysis ◽

Enterprise Management ◽

Chinese Labor

Transformational leadership as one kind of management field increasingly affects the performance of an organization. The paper aims to explore the link between transformational leadership and team performance through big data approach, and examine whether the transformational leadership can be adopted appropriately in Chinese labor intensive enterprise’ management practice.

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Judgment and Coping Strategies of IAPE Based on Big Data Analysis

Journal of Physics Conference Series ◽

10.1088/1742-6596/1852/3/032036 ◽

2021 ◽

Vol 1852 (3) ◽

pp. 032036

Author(s):

Fanglian Zeng ◽

Qiuli Gao

Keyword(s):

Big Data ◽

Data Analysis ◽

Coping Strategies ◽

Big Data Analysis ◽

And Coping

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RESEARCH ON THE MAKER TEACHER MOBILE TRAINING PLATFORM BASED ON BIG DATA ANALYSIS

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-archives-xlii-3-w10-343-2020 ◽

2020 ◽

Vol XLII-3/W10 ◽

pp. 343-348

Author(s):

Z. H. Jiang

Keyword(s):

Professional Development ◽

Big Data ◽

Data Analysis ◽

Big Data Analysis ◽

Practical Significance ◽

Future Research ◽

Space Module ◽

Space Design ◽

Evaluation Feedback ◽

Feedback Module

Abstract. In the era of "Internet +" and Big Data, it is of great practical significance on how to build a training platform that accurately matches the professional development of maker teachers, and to carry out personalized mobile training for maker teachers under the Big Data analysis technology. The construction of the maker teacher mobile training platform, based on the big data analysis technology, is designed to explore the personalized needs of maker teachers in professional development. It introduces a new concept of MOOC and community space design to build the maker mobile training platform framework structure, which contains three layers: application layer, service layer, and data layer. It designs five functional modules: diagnostic demand analysis module, personalized service customization module, online maker course module, seminar space module, and evaluation feedback module. The case analysis of the platform and its application effect shows that the maker teacher mobile training platform based on big data analysis has obvious effects on professional development for teachers and can provide reference for future research on related topics.

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