In recent years, the importance of data in strata broking has increased significantly. High-quality data enables brokers to perform their role more effectively by supporting informed decision-making, strengthening client advice, and maintaining competitiveness in an insurance market that increasingly relies on analytics and data-driven underwriting.
Comprehensive and well-structured data allows brokers to accurately assess and present risk to insurers. Detailed information regarding factors such as building age, construction type, maintenance history, geographic exposure, and claims experience enables underwriters to better understand the risk profile. When risks are clearly presented through reliable data, insurers are more likely to offer favourable terms and pricing.
Brokers who provide clear, credible, and structured datasets also strengthen their negotiating position with insurers.
Submissions supported by strong data increase underwriter confidence in assessing and pricing the risk. This can result in more competitive premiums, broader coverage terms, and greater insurer appetite. Conversely, when data is incomplete or unreliable, insurers often adopt conservative pricing or may decline to offer terms altogether.
Access to accurate and detailed data also enables brokers to deliver evidence-based advice rather than general recommendations. This elevates the broker's role from a transactional policy placer to that of a strategic risk advisor who can guide clients in managing and improving their risk profile.
Claims data is particularly valuable within the broking process, as it helps identify patterns and underlying causes of losses. By analysing claims trends, brokers can highlight recurring issues, recommend targeted risk mitigation strategies, and support premium negotiations with insurers. Over time, this proactive approach can help reduce claim frequency and improve the long-term insurability of a property.
Structured data also enhances operational efficiency within broking businesses. It enables automation of administrative processes such as renewal preparation, insurer submissions, and policy comparisons, reducing manual workloads and minimising the risk of errors.
As insurance markets continue to evolve toward data-driven underwriting and digital placement platforms, brokers who can effectively collect, structure, and analyse data will remain highly valuable to both insurers and clients. Data capability will increasingly define the difference between brokers who simply place policies and those who actively manage risk and deliver strategic value.