Achieve Customer Centricity

With emerging customer service expectations, transformation is crucial to the insurance industry. To remain competitive, insurers must focus on predicting customer needs by utilizing data and its cognitive capabilities. Insurers can then optimize the customer experience and retain highly valuable policyholders while identifying new sales opportunities.

Customer Analytics

Screen image showing customer behaviors using data analytics as an IBM insurance solution.

IBM Customer Insight for Insurance

Dynamically segment customers based on behaviors to gain predictive insights to optimize customer service engagement and improve retention.

Weather map on a device screen helps provide impending weather alerts to insurance customers

Weather Alerts for Insurance (ICS)

Build policyholder loyalty by alerting them of impending weather perils enabling them to avoid property damage.

Chart shows the types of insurance solutions data and cognitive capabilities that Watson Analytics can provide to insurance providers.

IBM Watson Analytics

Understand what the data means with Watson Analytics natural language interactions and cognitive capabilities.

Insurance Fraud

Screen graph captures data analytics from an insurance solution that identifies, anticipates and investigates suspicious claims activity.

IBM Property and Casualty Insurance Claims Fraud Analytics

Reduce fraudulent payouts at the onset, and eliminate costs associated with recovery, with a comprehensive way to rapidly identify, anticipate and investigate suspicious claims activity.

Insurance Producer Management

Data on screen provides an Insurance management solution that automates and streamlines processes

IBM Producer Lifecycle and Credential Management for Insurance

Automate and streamline processes associated with producer and agency administration, from onboarding new agents to validating credentials and relationship termination, with a single platform solution. Plus, provide out of the box integration with primary regulators to help ensure agents are properly authorized to service a policy.

Resources

IBM Customer Insight for Insurance

Identify policyholders who are at risk of churning and those that are likely to respond favorably to targeted marketing.

Cut through the web of insurance fraud

Successful implementation requires good communication, committed leadership and a shared articulation of goals.

IBM Producer Lifecycle and Credential Management for Insurance

Watch this video to understand the importance of SPM, key components of an SPM system, and the guidelines to evaluate the best SPM solutions that fit your organization’s needs.

Customer success stories

Customer and service agent review Westfield Insurance documents created using business intelligence and analytics for their insurance solution

Westfield Insurance

Westfield Insurance gains deeper insights using business intelligence and analytics to improve risk selection and customer service.


Claims processor reviews automobile damage and data will feed into Infinity Insurance predictive analytics insurance processing workflow.

Infinity Insurance

Infinity Insurance Company staking the claims process on predictive analytics.



Child on Dad’s shoulders shows one example of how Standard Life uses data analytics to market to specific audiences.

Standard Life

Fostering closer customer engagement and nurturing loyalty with personalized marketing



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