Data Analytics

Data science teams often don't understand the organization's risk frameworks, and insurance leaders have too little experience with analytics.

Selecting the right deployment model for insurance management software is crucial for optimizing operations, ensuring data security and maintaining resilience. 

Imagine being able to access data all in one place, any time and to have the power to fulfill endless business needs. Technology is making that goal possible. 

Key developments include improvements in disease prevention, health surveillance and delivery models.

Data security is no longer a simple IT task and can't be solved with one tool. It's a strategic imperative that touches every level of an organization.

The potential for advanced technology in claims management is there, but first you need a solid foundation. Here's how to build one. 

Greater digitization and AI will create more unity among underwriting, data strategy and technology teams, eliminating silos.

Privacy violations related to personal information have serious implications for consumers, insurers and their supply chain partners.