Statistical and classification analysis of Emprise Bank's branches and customers

Loading...
Thumbnail Image
Authors
Escamilla, Emilio
Ghazawneh, Sarah
Advisors
Dao, Mai
Issue Date
2023-04-14
Type
Abstract
Keywords
Research Projects
Organizational Units
Journal Issue
Citation
Escamilla, Emilio; Ghazawneh, Sarah. 2023. Statistical and classification analysis of Emprise Bank's branches and customers. -- In Proceedings: 19th Annual Symposium on Graduate Research and Scholarly Projects. Wichita, KS: Wichita State University
Abstract

Data-driven insights about customers are important for financial institutions to make informed decisions and to secure economic successes. Such business intelligence is often obtained with a thorough understanding and careful application of statistical analysis techniques. In this collaborative project with Emprise Bank, we employ predictive analytic methods on their randomly encrypted sample data to study financial services offered by branches and utilized by consumers. To understand the connected network of Emprise's branches in the Wichita metropolitan area, we first engage in an exploratory analysis to visualize clients' patterns at branch and ATM sites. Next, we use an analysis of variance to examine the relationships among geographic locations, bank infrastructures, and supported services to observe a balance in customers' businesses in the Northwest and Southeast areas of Wichita, with significantly more credit transactions over all regions. Finally, we employ logistic regression and K-nearest neighbors to predict important services based on patrons' existing physical and electronic footprints at different branches. Future transaction types have the highest prediction accuracies, followed by branch locations where enterprises are to take place.

Table of Contents
Description
Presented to the 19th Annual Symposium on Graduate Research and Scholarly Projects (GRASP) held at the Rhatigan Student Center, Wichita State University, April 14, 2023.
Research completed in the Department of Mathematics, Statistics, and Physics, Fairmount College of Liberal Arts and Sciences.
Publisher
Wichita State University
Journal
Book Title
Series
GRASP
v. 19
PubMed ID
DOI
ISSN
EISSN