Financial Services

Deliver personalised insurance experiences.

  • Unify data across the business for a complete view of the customer to drive productivity across the front and middle office.
  • Position data for AI with a foundation of trust and data privacy while adhering to compliance and regulations, enabling insurance firms to get started with trusted generative AI faster.
  • Grow your book and improve your margin using data to power automation to efficiently scale processes and lower the cost of servicing the business.

Use case summary

Access and integrate all of your customer data, no matter where it is and use it to provide personalised engagement in the hands of your sellers, service operatives, marketing and distribution management.

Data Sources Used

Policy Data
Claims Data
Telematics
Risk Data

Apply Insights and Predictions

By bringing together the data sources referenced in this use case, teams can build calculated insights or run predictive models with Data Cloud that will allow them to make smarter decisions or power new automations.

Calculated Insights Calculate the lifetime value of customers based on their premiums, claims and engagement. Develop insights based on customer behaviour (e.g., driving patterns, health metrics) captured through IoT devices to segment customers more accurately and offer personalised insurance plans.
Predictive Models Develop churn risk scores that predict which customers are most likely to leave the company based on engagement metrics, customer satisfaction scores, interaction history and competitor analysis. Use predictive models to determine the most effective retention strategies for different customer segments, identifying the best interventions to reduce churn.

What’s the impact?

Increase Employee Productivity
Improve Customer Experience
Improve Marketing ROI
Increase Customer Retention