How to leverage benefits data to reinforce your benefits strategy
Benefits data is playing an increasingly important role as a business performance asset. Still many organisations collect enrolment files, claims reports, engagement results, wellbeing data and workforce demographics only to review them in isolation.
It’s a fragmentation that’s becoming harder to sustain. Senior reward and benefits leaders are under pressure to manage rising costs, meet more diverse employee expectations and prove that people investment delivers measurable value.
Aon’s 2026 Human Capital Trends Study highlights the maturity gap: only 38% of organisations report high HR data maturity, and just 19% have a clearly defined and well-understood employee value proposition.
The challenge to understand
The latest Aon Global Benefits Trends Study (2025), conducted across 53 countries, shows why the pressure is immediate: more than 90% of benefits professionals identify efficient cost management as a top future-planning priority. The challenge is not simply to spend less, but to understand which spend creates value, which needs redesign and where targeted investment can improve outcomes.
This is where data strengthens strategy, giving leaders a clearer view of cost, risk and workforce challenges. It helps them make better decisions on benefit design, communication, vendors, financing and governance while demonstrating impact in language that resonates with HR, finance and business stakeholders.
Cost management is often the clearest catalyst. Nearly one in three participating organisations are using detailed claims analysis to identify healthcare cost drivers, signalling a shift from episodic renewal activity to continuous optimisation. Beyond medical costs, captives, multinational pooling, digitisation and automation improve efficiency, visibility and long-term sustainability while generating richer insight into claims, risk exposure and design effectiveness.
Data helps avoid false economies. A benefit may be expensive but highly valued, inexpensive but invisible, or heavily used because it compensates for a gap elsewhere. Without combining financial, utilisation and sentiment data, leaders risk cutting benefits that matter or funding programmes employees do not understand or need.
The study also finds that only 29% of respondents say employees understand their benefits well, making this value leakage, not just a communication issue.
Expanding employee choice
The need for better data grows as benefits become more personalised. More than 70% of organisations say they are expanding employee choice through voluntary, flexible or choice-based designs.
This reinforces what employees say they want. Aon’s Employee Sentiment Study (2025) found that 72% of employees want customised benefits, yet many still lack access to benefits choices that reflect their needs.
Choice can increase perceived value and support cost management, but only when guided by evidence on workforce segments, preferences and behaviour of employees.
Too often, organisations collect data without a clear purpose, benchmark without translating gaps into action, treat utilisation as a proxy for value or separate cost signals from employee voice. A more effective approach starts with sharper questions: which gaps matter, where does local context change the interpretation, and does high utilisation reflect value or unmet need? Leaders can then connect cost, claims, utilisation, benchmarks, sentiment and risk data to guide investment, redesign, communication, financing and consolidation decisions.
The most progressive and successful organisations connect datasets that are often separate: such as claims, utilisation, workforce demographics, employee listening, absence, retention, wellbeing and productivity into a singular human capital data ecosystem. This integrated and connected view moves leaders from retrospective reporting to more predictive decision-making.
Well-governed data yields better decisions
Over the next three to five years, data-driven benefits strategies will become more predictive, personalised and financially integrated. AI will play an important role in that shift, particularly in navigation, segmentation, pattern recognition and scenario modelling. But AI should not be seen as a golden bullet, or as a substitute for strong benefits governance. Poor, incomplete or disconnected data will still produce poor outputs, and AI can even amplify the problem by turning weak inputs into confident-looking recommendations at greater speed and scale.
Fragmented data will not become strategic simply because AI is applied to it. The real value lies in building reliable, connected and well-governed evidence that helps leaders make better decisions: where to invest, where to redesign, where to improve communication and where to stop spending. Benefits data will not replace judgment, but it can make decisions more transparent, accountable and aligned with business and workforce priorities.
