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Perspective to gauge insights on Data Analytics In Life Insurance

Perspective to gauge insights on Data Analytics In Life Insurance

We are conducting a survey to understand how data analytics is been adopted by the life insurance industry also the challenges faced by industry personas.

It will take you 2 minutes or less to complete this survey.

We appreciate your participation and look forward to hearing from you.

Thank you!

Q 1. Do life insurance companies need to get into the data analytics bandwagon for tapping new opportunities?      

Yes absolutelty it would be a great boost for insurance companies says 10% of the respondant

Q 2. Insurance companies accumulate a large amount of information, which requires analytics. At what phase do you think data analytics implementation is necessary?      

Amount of work that needed to link various sources,database with storage capabilities are some factors organization consider says 15% of the respondant

Q 3. Just collecting and storing information isn't enough to produce real business value for life insurers. Big data analytics technologies are necessary to:      

15% of the respondant stated integrating data from internal and external sources,extracting valuable insights are the some of the necessary factors

Q 4. For organizations that aren't currently looking to do big data analytics, there is little or no benefit to examining the data they're retaining and evaluating how it's being used.      

10% of the respondant opted as no almost all the insurer are using data analytics

Q 5. According to you, what are the best practices for managing big data analytics programs for life insurance companies?      

15% of the respondant stated adopting data analysis tools based on a list of their capabilities can be the best practices for life insurance companies

Q 6. How Data Analytics improves the risk model accuracy for your organization?      

10% of the respondant stated collecting right information of the customer,analyzing the data to device risk are some risk accuracy model

Q 7. What are the benefits of using data analytics in your organization?      

15% of the respondant stated implementing targeted marketing strategies,customized products for customers are some of the benefits

Q 8. According to you how data analytics can help life insurance companies improve? Please choose the suitable options.      

The most

Q 9. Has data analytics helped the insurance industry to become more competitive than other industries?      

20% of the respondant stated yes absolutely companies will implement various strategies to stand out in the crowd

Q 10. What are the benefits of data analytics for the insurers?      

Reducing Fraudulent Cases,enabling business growth are some major benefits says 10% of the respondant

Q 11. Being a market intelligence company, we interact with various data analytics providers. If we find a service provider who can help your organization address operational challenges, can we recommend them to you?      

Q 12. Do you consume external market research for business decision-making?      

Q 13. Would you like to receive communication from an ATR Analyst when new market reports relevant to your industry are published?      

Q 14. From the list below, please select your major pain points in consuming external market research.      

Thank you for your response.

1. Please Enter your full name.

2. Please Enter your Company name.

3. Please enter your Business Email id.

Total Questions: 14
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