Tom Fairbairn, Distinguished Engineer at Solace takes a look at legacy systems;
The insurance industry finds itself at a critical juncture. A data revolution, given higher priority across boards by the promises of AI and LLMs, paints a future brimming with personalised products, proactive risk management, and a dynamic customer experience.
However, a crippling “data paralysis”, caused in part by outdated legacy systems, hinders their ability to unlock this potential. Insurance companies struggle with siloed data, rendering their vast troves of information inaccessible and unusable. It’s essential for insurance firms to understand the challenges posed by legacy systems, and the valuable lessons which can be learned from other industries in how they broke down information silos, enabled better digital experiences for customers and employees, and simplified the task of integrating all these systems and data.
This may help them recognise the approaches which can maximise the value extracted from legacy systems while allowing the adoption of new technologies and experiences. It’s essential that legacy isn’t a blocker to building time-sensitive applications and business processes.
The stranglehold of legacy systems
Insurance companies have long relied on a traditional, on-premises IT infrastructure. While rock-solid in terms of reliability and security, this rigid architecture creates data silos, isolating information across different departments. This fragmentation impedes the ability to generate a holistic view of a customer. Without a complete picture of their risk profile, purchase history, and overall needs, companies struggle to personalise offerings, creating a one-size-fits-all approach, which creates a negative experience for many. An excellent example of this is the customer, having been upsold an insurance policy, having to then re-submit their security details to purchase.
Additionally, legacy systems often lack the necessary adaptability and speed of reaction to handle new data sources, such as social media sentiment or LLM chat trends. Dealing with new technologies like this often requires “at-the-time” processing, rather than waiting for a batch update. They are not designed to adapt to changing consumer needs or technological advancements, limiting the development of new, customer-centric products and services that cater to a dynamic marketplace.
Many organisations are embracing cloud technologies, but on-premises legacyinfrastructure can make this difficult. Experience has shown that often, a “one size fits all” approach to cloud vendors is tempting but limiting in the long term – a more nuanced, multi-vendor approach often proves more effective. Considering that integrating legacy systems with one cloud vendor is hard, it’s far more difficult with multiple vendors.
Banking’s blueprint: a data-driven revolution
The banking industry offers a good comparison point, as banks have large legacy estates along with regulatory pressures to provide better customer service and transform operational efficiency. In recent years, many banks have undergone a radical transformation by embracing data-driven strategies, “at-the-time” processing and cloud solutions. This shift has revolutionised their operations and the customer experience they provide. Here’s a closer look at the key elements of their success story:
● Data integration as a priority: Banks prioritise data integration, utilising platforms that enable seamless information flow across departments. This allows for a 360- degree view of the customer and facilitates real-time actions – imagine real-time loyalty, enrollment and reward generation programs.
● Rich customer experiences: Challenger banks have adopted cross-LoB, reactive, rich user experiences using event-driven integration to bring in features and data from across applications, as well as business units and partners for greater customer satisfaction and enhanced up-/cross-sell.
● Cloud adoption for agility: Banks are adopting cloud-based solutions, allowing forscalability, flexibility, and faster innovation. This frees them from the constraints of on-premises infrastructure and allows for rapid integration of new technologies. Banks leverage the cloud’s agility to develop and launch innovative financial products at a faster pace.
● Advanced analytics for customer insights: Banks leverage advanced analyticstools like machine learning and artificial intelligence to extract valuable insights from their data. These insights are then used to personalise financial products, target marketing campaigns with laser precision, and improve customer service through real-time fraud detection or personalised financial advice. A key issue organisations encounter is data quality – the insights from an LLM are unlikely to be trustworthy if the data lake it was trained from is full of data exceptions. Having a single platform across which data flows between applications, LoBs and the enterprise before it lands in the data lake helps organisations sanitise data at source.
The success of the banking industry can serve as a roadmap for insurance companies. By embracing event driven integration, cloud technologies and advanced analytics, insurance can unlock the full potential of its data assets and compete in the modern financial landscape.
Breaking free: solutions for a data-driven future
To overcome “data paralysis”, insurance companies need to assess the following:
Building the foundation
Modern event-driven platforms act as bridges, integrating with existing systems to drive value. Imagine a unified integration landscape where customer information, claims, and partner data resides. This holistic and always up-to-date view empowers comprehensive,
real-time data analysis. Cloud migration is the next step. It offers scalability, accessibility, and cost-effectiveness.
Unveiling hidden insights
Advanced decision support tools, such as machine learning, unlock hidden patterns in activity. Imagine AI algorithms predicting fraud or identifying emerging risks. This proactive approach allows for targeted risk management strategies.
Fostering an event-centric culture
Both leadership buy-in and employee training are essential for a successful transition. Executives must champion event-driven decision making, while training equips the workforce to leverage data effectively. By fostering such a culture, insurance companies can unlock the true potential of their data assets.
Early signs
Thankfully, the market is waking up to this reality – a recent global study found that more than 30% of financial services industry respondents are beginning to adopt several eventenabled use cases in their organisations. But there is still more to be done. Investing in modern event-driven platforms, cloud migration, data science expertise, and a data-driven culture empowers insurance companies to break free from data paralysis. This transformation will unlock the ability to develop innovative products, improve risk management, and deliver a superior customer experience in a modern and fast-paced world.
Looking to the future
All of these proposed solutions pave the way for a more event-centric insurance industry. The whole sector will be able to feel the benefits when it comes to a more proactive risk management approach. Real-time data analysis supports this with the early identification of potential risks. A data-driven personalisation allows insurance companies to deliver customised offerings, tailor premiums based on individual risk profiles, and provide the efficient and targeted customer service consumers now expect from the services they invest in.
It’s time for the insurance industry to look towards the future – one that has already begun without them!
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