We’ve been discussing the value of data for many years, usually how we’re not tapping its value enough. With the plethora of opportunities emerging on how we can use generative AI, particularly large language models, the pressure on extracting value from data has gone up exponentially. On the flipside, the most damaging breaches in recent years have been damaging precisely because data governance, management and security have been under-cooked.
In insurance the data risk is huge – with a trifecta of identity data, personal financial data and personally sensitive information all being received from customers daily. Obviously there is also organisational data – which has a different risk profile, but still a high one, particularly if the company is publicly traded. However, focusing on only the risk can hide the benefits. More and more insurance companies have been leveraging the data they hold on customers to significantly improve the customer experience and reduce the need to directly interact with customers. This helps with the retention and satisfaction already discussed above and is often considered table stakes by many consumers. I know I wouldn’t accept not being able to access my insurance details on the app my company makes available.
All of these factors are increasing the immediate return of doing data better. Almost every organisation has room for improvement and the returns are worth it. Start with ensuring data governance is getting enough attention. Every organisation should understand what data they have, where it is, how it is being accessed, and by whom. This understanding needs to be constantly updated and transparent. Continuous data management will make business process automation, AI, and data security significantly more achievable. Starting with data governance and management also makes it easier to assess new technology investments and make choices that will truly move the dial. Too many organisations are throwing technology at their data problem without making the organisational changes that are needed to go with the technology.
Solving the identity challenges discussed earlier is a major enabler to using your data better, as it directly addresses who has access to what data and when. It also helps you catch anomalies that could signify a breach before it happens or enable you to stop it early.