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Analytics in Insurance - Predictive Analytics in Insurance - Applications

Great Learning via YouTube

Overview

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.

Syllabus

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

Taught by

Great Learning

Reviews

4.0 rating, based on 2 Class Central reviews

Start your review of Analytics in Insurance - Predictive Analytics in Insurance - Applications

  • As a beginner in Insurance but with an IT background, I have enjoyed this course because I was able to relate to some of the concepts and also learned a lot in the insurance domain as well.
  • Rizky
    more spesification for insurance data analitic and example with all insurance type

    and give risk facto and risk assesment example to explain the risk and monitoring risk

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