Downloads: 0 | Views: 181
Case Studies | Business Management | India | Volume 11 Issue 9, September 2022 | Popularity: 4.2 / 10
A Case Study on Analytical Tools for Insurance Fraud
Dr. Kashmira Mathur
Abstract: Corruption in the auto insurance industry is a worldwide concern. For insurance firms, manually addressing fraud is always expensive. Data science may be quite beneficial in the fraud detection process and can aid insurance companies to detect fraud. For the fraud analysis, typically, there are probably over forty variables. The purpose of this study is to identify the factors that are crucial for detecting fraud and to offer a framework for doing so. This paper also uses empirical research to demonstrate the commercial use of data analytics for detecting insurance fraud. It shows how the insurance firm can accurately identify fraudulent claims by adopting a few business guidelines, which will probably lead to cost reduction and higher profitability for the business.
Keywords: Fraud Detection, Analytics, Insurance, Significant Variables, Business Guidelines, Framework
Edition: Volume 11 Issue 9, September 2022
Pages: 1027 - 1032
Make Sure to Disable the Pop-Up Blocker of Web Browser
Similar Articles
Downloads: 0
Research Paper, Business Management, Indonesia, Volume 10 Issue 6, June 2021
Pages: 260 - 263Designing Business Model by using 4I-Framework for the Community of Persons with Disabilities in Bandung
Nur Muthrofin To'a, Bagus Wahyu Utomo, Fajar Sidiq Adi Prabowo, Dini Turipanam Alamanda
Downloads: 0
Research Paper, Business Management, China, Volume 11 Issue 4, April 2022
Pages: 1004 - 1011Exploring E-Commerce Delivery Challenges in Nigeria: A Dynamic Capabilities Perspective
John Olaghere, Faith Osiobe
Downloads: 0
Analysis Study Research Paper, Business Management, India, Volume 11 Issue 5, May 2022
Pages: 618 - 626Trust & Access - The Mantra of Future Digital Health Care
S Keerthi, Dr. John E P
Downloads: 2 | Weekly Hits: ⮙1 | Monthly Hits: ⮙2
Research Paper, Business Management, India, Volume 13 Issue 4, April 2024
Pages: 875 - 889Predictive Modeling in Business Analytics: Leveraging AI & Machine Learning
Manikanta Konkathi
Downloads: 4 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1
Analysis Study Research Paper, Business Management, Malaysia, Volume 12 Issue 12, December 2023
Pages: 865 - 868Analyzing Leadership Skills and Competencies in Facilitating PepsiCo's Transition to a Flexible Organizational Structure
Zeng Jian Hua, LE LI, Noor Azlin Ismail, Chen Yao Hui