Insurance companies routinely analyze huge volumes of data
related to workplace claim and injury data, workers’ compensation, aggregated exposures
with respect to catastrophic events, mortality and morbidity tables used in
life and health insurance, loss, construction, fire protection and historical
weather. Risk planning and evaluation as a category is fairly wide and covers
the actuarial, product management, and underwriting aspects of business. This
includes areas such as catastrophe modeling and loss control since they are
also about assessing and managing risk.
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With the growth and advances in technology and communication in conjunction with the explosive growth of data, customer is at the center of every organization’s focus. Insurance companies have specifically been made to create simpler and more transparent products in line with changing customer preferences. Companies are now looking at predicting customer behavior and obtaining insight into value with a view to developing and optimizing claims that will in turn result in improved customer retention and profitability.
This research evaluates the market for Big Data in the Insurance industry including high-impact areas and those with high ROI potential. All purchases of Mind Commerce reports includes time with an expert analyst who will help you link key findings in the report to the business issues you're addressing. This needs to be used within three months of purchasing the report.
With the growth and advances in technology and communication in conjunction with the explosive growth of data, customer is at the center of every organization’s focus. Insurance companies have specifically been made to create simpler and more transparent products in line with changing customer preferences. Companies are now looking at predicting customer behavior and obtaining insight into value with a view to developing and optimizing claims that will in turn result in improved customer retention and profitability.
This research evaluates the market for Big Data in the Insurance industry including high-impact areas and those with high ROI potential. All purchases of Mind Commerce reports includes time with an expert analyst who will help you link key findings in the report to the business issues you're addressing. This needs to be used within three months of purchasing the report.
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Target Audience:
Insurance companies
Big Data Analytics companies
Risk assessment and consulting firms
Enterprise companies across all industry verticals
Any organization seeking to reduce insurance costs
Target Audience:
Insurance companies
Big Data Analytics companies
Risk assessment and consulting firms
Enterprise companies across all industry verticals
Any organization seeking to reduce insurance costs
Some points from TOC:
1.0 Executive Summary
2.0 Introduction
2.1 What Is Big Data?
2.2 The Relevance And Importance Of Big Data
2.3 Analytics And Big Data
2.4 Big Data And Business Intelligence
3.0 Big Data And Analytics In Insurance
3.1 Big Data And Analytic Opportunities
3.1.1 Customer Related
3.1.2 Risk Related
3.1.3 Finance Related
3.2 Big Data Benefits Areas In Insurance Enterprises
3.2.1 Claims Fraud Detection And Mitigation 2
3.2.2 Customer Retention, Profiling And Insights
3.2.3 Customer Needs Analysis
3.2.4 Risk Evaluation, Management, And Planning
3.2.5 Product Personalization
3.2.6 Claims Management
3.2.7 Cross Selling And Up-Selling
3.2.8 Catastrophe Planning
3.2.9 Customer Sentiment Analysis
2.0 Introduction
2.1 What Is Big Data?
2.2 The Relevance And Importance Of Big Data
2.3 Analytics And Big Data
2.4 Big Data And Business Intelligence
3.0 Big Data And Analytics In Insurance
3.1 Big Data And Analytic Opportunities
3.1.1 Customer Related
3.1.2 Risk Related
3.1.3 Finance Related
3.2 Big Data Benefits Areas In Insurance Enterprises
3.2.1 Claims Fraud Detection And Mitigation 2
3.2.2 Customer Retention, Profiling And Insights
3.2.3 Customer Needs Analysis
3.2.4 Risk Evaluation, Management, And Planning
3.2.5 Product Personalization
3.2.6 Claims Management
3.2.7 Cross Selling And Up-Selling
3.2.8 Catastrophe Planning
3.2.9 Customer Sentiment Analysis
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