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Data Visualization as a Tool for Improving Credit Analysis: A Field Study in the Banking Sector

Year: 2025

Type: article

Abstract: This study aims to utilize data visualization as a data mining technique for the purpose of credit analysis.It employs the Weka data mining software and the Scatter Plot Matrix technique to identify data trends and patterns, facilitating a logical analysis of the financial situation, and by extension improve the decision-making process.The findings reveal that data visualization significantly enhances data comprehension by extracting pertinent information from the credit database managed by the studied agency of a public bank active in Algeria.This aids in understanding the bank's adopted strategies and various financial trends, which in turn influence customer satisfaction and requirements, as well as the country's overall economic growth.Citation

Source: Science Education and Innovations in the Context of Modern Problems

DOI: 10.56334/sei/8.5.21

Authors: Laifa Assala, Bouhrine Fatiha

Language: English

Topic: Data Mining and Machine Learning Applications

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

OpenAlex ID: W4410716867

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