Predictive Analysis in Insurance

View Sample PDF

Author(s): Krishna Sasthri Charamboli (Lovely Professional Univeristy, India), James Daniel Paul Paul Athi (Lovely Professional Univeristy, India)and Robert Wenn (National Training Centres, Vietnam)
Copyright: 2026
Pages: 24
Source title: Harnessing Data Science for Sustainable Insurance
Source Author(s)/Editor(s): Gagan Kukreja (College of Business Administration, University of Bahrain, Bahrain), Ayben Koy (Fenerbahçe University, Turkey), Pooja Kansra (Mittal School of Business, Lovely Professional University, India), Diksha Verma (Chandigarh Business School of Administration, Landran Mohali, India)and S.L. Gupta (Birla Institute of Technology, India)
DOI: 10.4018/979-8-3373-1882-0.ch015

Keywords: Business Science Reference / Data Analysis & Statistics / Library & Information Science / Sustainable Business Practices

Purchase

View Predictive Analysis in Insurance on the publisher's website for pricing and purchasing information.

Abstract

With the Advent of the Insurance Tech Sector, the landscape of the insurance industry has changed dramatically. The commission based sales model has migrated to the online sales model. Most of the purchases and renewals and marketing and advertisements for the renewals have migrated into the online mode. the objective of this chapter is to understand from different studies, the emerging methods of forecasting in the literature especially in the AI driven world. Instead of laying out a hypothetical theoretical framework for the future studies, this chapter attempts to create an empirical framework or literature based model of intention of the forecasting methods prevalent in the insurance industry. with this objective 30 studies have been reviewed and their data, variables and statistical analysis have been analysed to trace the historical use of variables and tools and to suggest changes

The IRMA Community

Research IRM

Predictive Analysis in Insurance

Purchase

Abstract

Related Content

IRMA Sponsors