Accelerating AI innovation and advanced analytics in insurance

By Simon Axon, EMEA Financial Services Industry Consulting Director, Teradata

Simon Axon
Simon Axon
2023년 11월 9일 3 최소 읽기

A wake-up call for the sector

Earlier this year, McKinsey published a report revealing a concerning lack of data and analytics maturity among insurers in Europe, the Middle East, and Africa (EMEA). While four standouts drove a 10-20% uplift in profit in 2022 by implementing AI and advanced analytics, most have yet to capitalize on the estimated €1.2 trillion in realized and potential value in analytics for the sector. Meanwhile, insurers are facing a new threat: competitors from outside the sector are using AI-powered opportunities, technology, and data-driven insights to disintermediate the sector and offer insurance products directly to consumers.

Too much talk, not enough action

Given this reality, it’s no surprise these technologies are top of mind for insurance executives. Overall, EMEA insurers seem to understand the need to rapidly accelerate their capabilities if they hope to survive and thrive in the AI-driven decade ahead. However, for most players, there’s still a huge gap between talk and action. According to the McKinsey report, only one in five of the EMEA firms surveyed said they’re using automated analytics for the majority of decisions, and nearly 60% described their maturity stage as aspirational. Interestingly, none of the firms surveyed, even the top performers, identified themselves as analytics-driven organizations.

Lessons from the leaders

Many other sectors are already way ahead of insurance in terms of generating value from advanced analytics. Leaders are finding ways to apply AI, machine learning, and other analytics-based approaches to business segments like marketing, renewals, claims handling, and customer experience. For example, Verizon, a global telecom giant, leverages advanced analytics to identify potential churners and tailor its retention programs. By spotting customer trends early, it’s able to alter products and services to keep customers happy and create new revenue streams.  

Another telco, Saudi Telecom Company, uses AI to analyze structured and unstructured data and build a clearer picture of individual customers’ wants and needs based on their behavior. Using these insights, the company is optimizing the customer experience in ways that build loyalty and increase cross-selling opportunities.  

Within the insurance sector, Mitsui Sumitomo Insurance created a system called MS1 Brain that uses AI to predict demand and suggest next best actions for agents to take in sales interactions with customers. Since implementation, the rate at which customers add supplemental coverage at policy renewal has increased by 250%. And another leading medical insurer leverages advanced analytics to detect anomalies and navigate elusive diagnoses, enabling them to prevent losses while improving customer service.

Enterprise data platforms: the critical piece

What’s the common thread that enables these different businesses to successfully deploy AI and advanced analytics at scale to drive growth and profitability? As Teradata customers, they’ve all put data at the heart of the organization. And this doesn’t mean simply acknowledging data as an asset; it’s about putting data to work across every department and in every decision. This requires deploying an enterprise-wide analytics and data platform with high levels of governance to drive better insights and intelligent decision-making. Implementing a handful of point solutions operating in departmental or product-specific silos is not enough.

Capturing the true value of AI and advanced analytics

Becoming an analytics-driven organization involves more than just a technological transition. It takes a shift in mindset and a whole-hearted commitment from leadership to responsibly integrate data analytics and trusted AI across the enterprise. There’s much that insurers can learn from other industries, but the insurance landscape is changing fast and time is running out. To find out how Teradata can help your organization effectively deploy advanced analytics at enterprise scale, please get in touch with our Insurance Industry consulting team.

This is the first article in our miniseries on data and analytics and their crucial importance for the insurance sector. Stay tuned for the second installment, in which we’ll explore how climate risk is transforming the industry.

약 Simon Axon

Simon Axon leads the Financial Services Industry Strategy & Business Value Engineering practices across EMEA and APJ. His role is to help our customers drive more commercial value from their data by understanding the impact of integrated data and advanced analytics. Prior to his current role, Simon led the Data Science, Business Analysis, and Industry Consultancy practices in the UK and Ireland, applying his diverse experience across multiple industries to understand customers' needs and identify opportunities to leverage data and analytics to achieve high-impact business outcomes. Before joining Teradata in 2015, Simon worked for Sainsbury's and CACI Limited.

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