Analytics in Insurance - Predictive Analytics in Insurance - Applications

This "Analytics in Insurance" tutorial will help you to learn all the major topics with respect to how analytics is used in Insurance. According to research, more than two-thirds of insurance companies use predictive analytics to reducing issues and expenses, and 60% say the data has helped increase sales and profitability.

The use of data and analytics is nothing new in insurance industry. In a digital world where analytics is revolutionizing the insurance business, it becomes very important for the management to harness the power of analytics to increase their visibility, minimize delays in decision-making, and promote process improvements, it also enables insurers to enhance their decision competency and help them to react to the changing market quickly and effectively.

This tutorial will clear all your doubts that you may have regarding "Analytics in Insurance" including, Why there is a need for Insurance, what are the different types of insurance, challenges faced by them, and much more.

Introduction.
- Need for Insurance.
- Risk and Insurance.
- Different Insurance Types.
- Components of an Insurance Company.
- Data and Analytics.
- Current Trends and Challenges in Insurance.