Holmes Murphy announces the launch of CLUE (Client Learning and Understanding Engine) – an enhanced proprietary analytics platform designed to deliver sharper insights, smarter strategies, and stronger outcomes for clients in its Property Casualty and Employee Benefits divisions. CLUE centralises benefit plan, insurance programme, and claims data into a single, easy-to-use platform, allowing Holmes Murphy experts to identify trends, benchmark performance, and anticipate risks for clients with unprecedented accuracy. Key benefits include optimising programme design with predictive forecasting and identifying claim frequency and severity trends across industries. Jeffrey Austin White, Holmes Murphy Chief Data & Analytics Officer, says: “CLUE isn’t just a tool – it’s a new way of serving clients.” White adds: “By combining advanced analytics with our decades of expertise, we’re giving our consultants the ability to uncover deeper opportunities and deliver even more value.” The platform is designed to equip Holmes Murphy teams with valuable insights that help clients stay competitive, manage costs, and shape more effective programmes across Sales, Service, Claims, and Risk Management. In one case, the platform helped a manufacturing client review historical safety performance and uncover inconsistencies across multiple locations. By analysing these historical trends and identifying key risk areas, the Holmes Murphy team was able to tailor a strategy to help the client implement proactive interventions, leading to measurable improvements in safety culture and risk mitigation. Dan Keough, Holmes Murphy Chairman & CEO, says: “The launch of CLUE reflects our broader strategic investment in data analytics... This not only helps us identify our clients’ risks sooner but drives down their risk management costs faster.” Keough concludes that CLUE ensures that “every recommendation is backed by the power of data, delivering measurable impact on performance and cost management.”
