Insurance Data & Analytics 2025: Five Trends on the Journey to Transformation
An exclusive Reuters Events whitepaper featuring insights from senior data executives at Prudential Financial, CSAA & Highmark Health
The insurance industry is awash in data. From customer demographics and claims histories to risk assessments and market trends, the sheer volume of information available is staggering. However, this data is only valuable if it can be effectively harnessed and analyzed to drive strategic decision-making and innovation.
That’s why ahead of Reuters Events: The Future of Insurance USA 2025 (June 12-13, Chicago), we spoke to leading executives at three top carriers to hear their thoughts on all things data and analytics, and where they are focusing their energy.
Featuring perspectives from industry thought-leaders:
Covering the future of data and analytics in insurance, including how to:
- Break down data silos: Centralize data to gain a unified customer view and enable personalized product offerings
- Ensure data quality: Implement data governance policies and cleansing tools to improve accuracy and avoid flawed analysis
- Leverage AI in analytics: Utilize AI to enhance data processing, predictive modeling, and computer vision for improved efficiency and accuracy
Key insights to look out for:
- “If somebody is asking a policy question and the answer is wrong, or based on say policies or procedures from two years earlier, that can lead to bad outcomes”
- Bipin Chadha, Chief Data Scientist, CSAA Insurance Group
- “The challenge will be ensuring that predictive models remain accurate over time with changing data patterns”
- Nina Edwards, VP, Emerging Technology & Innovation, Prudential
- “We're trying to be in that quarterback role making the services members receive more personalized, more proactive and helping them through frustrations”
- Ian Blunt, VP Advanced Analytics, Highmark Health
I hope you enjoy the insights!
Best wishes,
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