BCReporter: A Real-Time, Machine Learning, Fraud Detection Platform
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Authors
Melton, Shane
DeFoor, Tyler
Kwist, Tim
Vaughan, David
Issue Date
2017
Type
Thesis
Language
en_US
Keywords
Alternative Title
Abstract
Bristlecone Holdings analyzes business finances and customer accounts using data files exported from the third party software program Tableau. In order to detect fraudulent applications, these data files are analyzed by Bristlecone data analysts using a manual and tedious process that is often inconsistent in producing useful results. The company has been growing significantly in recent years and therefore requires an easier and more automated system to perform this fraud detection analysis. The creation of this automated system was the focus of Team Bristlecone this past year and has been titled the BC Reporter tool. The system consists of a collection of configurable tools, including an automated file analyzer and a user friendly web interface. The system was developed in a modular and configurable fashion, allowing it to evolve to meet the ever changing demands of nearly any modern business. The system currently exists as a usable product, but can be still expanded upon and improved upon greatly.