Customer data

Adopting data profiling and machine learning could propel the industry into a future of enhanced efficiency, better risk assessment and superior customer experiences.

Employee data holds great potential for maximizing the value of employee benefit programs.

Advanced driver assistance systems (ADAS) decrease risky behaviors, such as distracted driving and speeding, reducing auto claims.

Consent and preference management systems, catching on with insurance carriers to leverage customer data for marketing, have the potential to balance that with privacy regulation compliance, according to a Madison Advisors report.

The path to more effective hurricane preparedness lies in proactive planning, automation, and the efficient utilization of data and analytics.

Given advances in technology reviewing unstructured documents to identify and extract key terms and medical data can result in an expedited process.

Simon-Kucher expects customer churn and switching behaviors in auto-insurance to increase sharply in 2023.

Investment and innovation to keep drivers and people safe from distracted driving are necessary.

Both have a mutual goal of keeping systems secure and their customers' information private.

Three examples of how industry leaders are building brands and growth strategies based on personalization.