Collaborative Model of Business Analysis and Data Analysis in the Era of Big Data-Taking Retail Industry as an Example

Zhiwei Qi; Xue Rui; Yao Xiao

doi:10.54097/wfdhqx14

Authors

Zhiwei Qi
Xue Rui
Yao Xiao

DOI:

https://doi.org/10.54097/wfdhqx14

Keywords:

Era of big data; business analysis and data analysis; retail industry.

Abstract

The retail industry is closely related to people's lives and is also a driving force for the development of the national economy. This article focuses on studying the dynamic changes of the retail industry in the commercial market under the premise of rapid economic and social productivity development. In the past, people usually used past experience to predict the future market, but there was no definite support, and there would often be large errors, as well as face some unavoidable crises. However, in the current era of data informatization, relatively accurate predictions of the future market can be made through a large amount of data, while avoiding losses caused by some crises. This study employed various analytical methods to analyze the past and current situation of the retail market. This article further reveals the three major problems existing in traditional retail analysis: the separation of data analysis and business needs; the lack of data support for experience-based decision-making; and severe departmental data barriers. Finally, implementation suggestions are proposed from three aspects: data governance, talent cultivation, and organizational optimization, providing a systematic solution for the retail industry to enhance its decision-making ability and market competitiveness.

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