Technology Driven Insurance Data Analytics

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Technology Driven Insurance Data Analytics
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• Introduction
• Insurance Data Analytics
• Fraud Detection
• Risk Management
• Lead Management
• Trend Analysis
• Conclusion

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Table of Contents
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Introduction

• The nature of the Insurance industry being
  data-centric, insurers abide by the policy of
  keeping data as a treasure for their respective
  growth.
• This data can only be turned into a gold mine of
  Insurance Data Analytics by in-depth analysis.
• The Insurance Industry has started relying on the
  new-gen technology to deep dive into data Big
  data and unstructured data to pull out the best
  insights useful for them.

Lets See How!
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Fraud Detection
The new-gen technologies are capable of following
up the claims management
Managing the losses from detecting frauds
With quick response to customers on track
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Risk Management
Automation of Insurance Software putting use of
the AI and ML assure an adequate amount of
accuracy with time-saving solutions.
Customers personal data to public records and on
social media provides insights
Data Trends helps in calculating the insurance
premiums
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Lead Management
Helps to track the best possible experience for
prospects
With the weapon of AI-powered data analytics,
Insurance Software
Facilitates better up-selling and cross-selling
for insurers
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Trend Analysis
InsurTech ensures data is used in the right way
as PC, Life, Health and Pensions module is
grouped and re-grouped to provide meaningful
analytics for the end-user
Technology uses data in graphical and infographic
manner to provide quick and meaningful insights
Insurance Software loops in regulatory reports,
operational reports and analytical submissions
derived from the system data
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Conclusion
Technology is acting as a life support system to
insurance businesses by extracting the data
insights and analyzing adequate measures of risk
selection, trends analysis, marketing strategies,
claims processing and pricing strategies
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