Data Analytics

Insurance firms face a critical decision between building new systems or "wrapping" legacy platforms for digital transformation.

Life insurers must create a strong data strategy, zero in on their key use cases, acquire employee support and select strong partners.

As the insurance sector evolves with technological advancements, prioritizing data cleansing is more vital than ever.

Leveraging advanced analytics, AI, IoT sensors and telematics, insurers can now dynamically adjust premiums based on market conditions and behavioral patterns.

Insurers face critical choices between modern legacy systems and true cloud-native solutions for digital transformation. Five myths can lead to bad decisions. 

Precision underwriting, driven by advances in data and analytical tools, enables granular risk assessment and personalized policy decisions.

Integrating insurance policy management software with the rest of an agency's tech ecosystem can generate insights and boost productivity. 

Here is a flexible software security review framework that organizations can use to improve their security posture.