Orbis Research: Big Data in Insurance Market 2015 Study & Trend Analysis

Dallas, Texas, November 9, 2015 (Newswire.com) - 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.

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.

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Hector Costello, Senior Manager - Client Engagements

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.

Purchase a copy of Big Data in Insurance Industry visit @ http://www.orbisresearch.com/contact/purchase/38577.
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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

Browse Complete Report @ http://www.orbisresearch.com/reports/index/big-data-in-insurance-industry.

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