The Application of Big Data Analysis in the Hierarchical Management of Automobile Customers

Haoran Wang ()
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Haoran Wang: Xian Tieyi High School

A chapter in Proceedings of the 2022 2nd International Conference on Economic Development and Business Culture (ICEDBC 2022), 2022, pp 1770-1774 from Springer

Abstract: Abstract In recent years, automobiles are becoming one of the mainstream people's travel modes. The automobile industry has benefited from big data analytics to improve their sales and marketing efficiency. With the increasing popularity of network applications, the Internet is changing the business models of traditional industries. Traditional industries are undergoing online and digital transformation. This paper summarizes the importance of bigdata analysis and its application in hierarchical management of automobile customers. In general, automotive big data can be roughly divided into identity data, transaction data, and behavior data. Automobile manufactures can find out more valuable information of these research data in the automobile industry with the help of big data analysis and data mining. In addition, the classification of customers has also been discussed. It could be one of the potential solutions is customer analytics which use the lowest cost value to maintain the stickiness of customers and minimize the loss of customers.

Keywords: Automotive industry; Automobile sale; Big data; Big data analysis; Customer analytic (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-036-7_264

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DOI: 10.2991/978-94-6463-036-7_264

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