1.
Insurance Data Analytics
is the Gold Mine for Insurers

2.
Table of Contents
1 Introduction
Benefits of Data Analytics for Insurers
 Generation of Leads
 Enhance Brand Value
 Reduce fraud
 Predict Accurate Risk
 Enable Business Growth
Conclusion
2
3

3.
2.6
.1
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How?
Leading Insurers are converting
Big Data into useful insights, by
Insurance Data Analytics.
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4.
Benefits of Data Analytics for Insurers

5.
2.6
.1
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Generation of Leads
Enhance Brand Value
Reduce fraud
Enable Business Growth
Predict Accurate Risk
Benefits of Data Analytics for Insurers

6.
2.6
.1
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Generation of Leads
Deep dive into the
customer behavior
Market opportunities to
up-sell and cross-sell
Data Analysis
of Unstructured
Data helps

7.
2.6
.1
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Enhance Brand Value
Data Trends
enhance Brand
Reputation by
Rightly predicting the
needs of the prospects
A better analysis of the
existing customer data

8.
2.6
.1
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Reduce Fraud
Predictive analysis in Insurance
industry helps to
Mitigate the
challenges in claim
processing
Reduce fraudulent
acts and prevents
claim leakage
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9.
2.6
.1
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Predict Accurate Risk
Simplify
Underwriting by
Data Analytics
Better risk calculations
for premiums
Lesser scope of error

10.
2.6
.1
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Enable Business Growth
Analysis of
data drives the
growth of
Insurance business
transactions
Streamline the internal
processes

11.
2.6
.1
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Conclusion
The new-gen technology is
working progressively to enable
insurance companies for analytical
decision making with Insurance
Data Analytics.

12.
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