This research paper focuses on understanding how business analytics can help in improving insurance portfolio efficiency. In today’s fast-growing insurance industry, companies handle a large amount of data related to customers, policies, claims, and risks. Managing this data manually is difficult and often leads to delays and errors. Because of this, many companies are now using business analytics to make better decisions.

The main purpose of this study is to analyze how business analytics can improve decision-making, reduce risks, and increase overall efficiency in insurance portfolio management. The study is based on data collected from 120 respondents using a structured questionnaire. The responses were analyzed using simple statistical methods like percentage analysis.

The findings of the study show that business analytics has a strong positive impact on insurance operations. It helps in identifying risky policies, improving claim processing speed, detecting fraud, and increasing customer satisfaction. At the same time, some challenges like lack of training and limited use of advanced tools were also identified.The study concludes that business analytics is very important for improving performance in the insurance sector. Companies that use data-driven strategies can achieve better efficiency and long-term growth.

Keywords-

Generative AI; Business Analytics; Decision-Making; Productivity; Artificial Intelligence; Data Analysis