A Study on the Application of Data Science in Consumer Finance

Duanduan Gu ()
Additional contact information
Duanduan Gu: Bayi School International Department

A chapter in Proceedings of the International Workshop on Navigating the Digital Business Frontier for Sustainable Financial Innovation (ICDEBA 2024), 2025, pp 405-411 from Springer

Abstract: Abstract This paper studies the various applications and impacts of data science in the field of consumer finance under the digital age and makes suggestions for the subsequent development of data science. This paper aims to increase the use and understanding of data science in consumer finance organizations. This paper mainly uses case analysis, data analysis and model analysis techniques. Through a series of studies, it is finally concluded that the application of data science can bring good improvements to enterprises, such as the improvement of risk control ability and investment and financing ability.

Keywords: Consumer Finance; Risk Management; Data Science; Credit Assessment (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-652-9_42

Ordering information: This item can be ordered from
http://www.springer.com/9789464636529

DOI: 10.2991/978-94-6463-652-9_42

Access Statistics for this chapter

More chapters in Advances in Economics, Business and Management Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().