How Insurance Professionals Think About Data Science

A stylized image of diverse professionals in an insurance office analyzing data with graphs and charts on screens, with an emphasis on technology and collaboration.

Unlocking Insights: Data Science in Insurance

Discover how insurance professionals view the role of data science in their businesses. This quiz will help you understand the current landscape of data science utilization and its perceived advantages and challenges.

Assess your company’s engagement with data science
Identify common concerns and downsides
Explore interest in services that enhance data science efficiency

9 Questions2 MinutesCreated by AnalyzingData27

Do you/your company actively using data science?

Yes

Do you informed about the advantages of data science in your business?

Yes

Do you plan to use data science in your business?

Yes

Do you think using data science has downsides? E.g, takes so much time to create algorithms.

Yes

Which downsides you can complain about using data science in your business?

Cost of data science professionals are high

Infrastructure cost is high

It is complicated to use

Return of investment cannot be predicted

Even if you waited for the creation of pipeline, sometimes it is still not useful to business

None of above

Could you provide your complains in your words?

Would you have an interest if a service can provide you to reduce the time it takes and overhead cost for using data science?

Yes

If you want to learn more about such a service you can leave your e-mail (OPTIONAL)

How Insurance Professionals Think About Data Science

Unlocking Insights: Data Science in Insurance

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