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SmartData Collective > Big Data > Data Mining > Top 10 Ways to Apply Predictive Analytics in the Insurance Industry — and Your Industry?
AnalyticsBusiness IntelligenceData MiningKnowledge ManagementMarket ResearchMarketingModelingPredictive AnalyticsStatisticsUnstructured Data

Top 10 Ways to Apply Predictive Analytics in the Insurance Industry — and Your Industry?

Editor SDC
Last updated: 2011/06/11 at 2:51 PM
Editor SDC
2 Min Read
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Actuaries are experts at using mathematics to forecast risk at a human biological level. CAN is the expert at using predictive mathematics to forecast human behavior in the domain of marketing, sales, and operations.

CAN uses predictive analytics, behavior, and data science to develop creative solutions for the ever-changing business environment.  Business needs are constantly changing, so the business systems we have developed are designed for continual advancement.

Actuaries are experts at using mathematics to forecast risk at a human biological level. CAN is the expert at using predictive mathematics to forecast human behavior in the domain of marketing, sales, and operations.

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CAN uses predictive analytics, behavior, and data science to develop creative solutions for the ever-changing business environment.  Business needs are constantly changing, so the business systems we have developed are designed for continual advancement.

The Insurance Industry constantly invests in new products and campaigns. Make sure the moves you are making reach the right people with the right offer at the right time. Using the right data, math, and theory to ensure the decisions you are making are the right ones

Consider the following list of technologies we have developed for our clients in the Insurance Industry. Imagine the opportunities within your own domain. 

1.       Determine which product cold-leads are likely to buy

2.       Forecast changes in your portfolio, product demand, or economy

3.       Identify policyholder trends within your area of operations

4.       Detect and prevent fraudulent claims

5.       Identify economic factors preceding group policy shifts

6.       1:1 targeted marketing; right person, right product, right time

7.       Measure and forecast the effectiveness of marketing campaigns

8.       Optimize policies and operations by analyzing policy claim trends

9.       Manage interactions with your provider network 

10.     Identify individuals with the need to buy coverage right now 

TAGGED: Data Science, forecasting, fraud, insurance, predictive analytics
Editor SDC June 11, 2011
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