End-to-end technical delivery and strategic advisory — from raw data to lasting organisational capability.
Service Area 1
End-to-end technical delivery — from raw data to production-ready systems.
Automated systems that replace manual, time-consuming workflows. Mathematical optimisation across competing variables for more speed, nuance and reliabilty than manual processes.
Examples: Automated reporting pipeline for a Queensland state government department; automated survey analysis application for a federal government department; constrained optimisation timetabling system for a major Western Australian university.
Quantitative models that translate strategic questions into structured, computable scenarios.
Examples: 15-year service capacity and infrastructure demand model and scenarios for a leading Melbourne hospital; workforce supply scenario modelling for a federal infrastructure planning agency; sector-level higher education funding and financial position analysis for a major public university.
ABS, Census, and sector-specific data applied at fine geographic resolution to model service demand, workforce supply, and market opportunity.
Examples: SA2-level workforce skills supply model for a federal infrastructure agency; VET market demand modelling for campus and course portfolio planning at two regional TAFEs; demographic market intelligence tool for a large metropolitan university; interactive geospatial dashboard mapping service provision gaps across a remote territory.
Statistical and machine learning models that forecast outcomes, identify risk, or confirm relationships.
Examples: Statistical survey analytics and confidence intervals for nation wide questionnaire to understand post-COVID regulatory change and impact; Student attrition prediction models for at-risk students at a large West Australian university; productivity and efficiency measurement across international higher education systems using DEA and Törnqvist index methods.
Business and policy intelligence tools that make analytical findings accessible to decision-makers.
Examples: Interactive youth justice reporting dashboard for a Queensland state government department; market research web tool and dashboard for a large metropolitan university; automated survey analysis and reporting application for a federal government department.
Service Area 2
Strategic guidance and capability building for teams navigating data-driven change.
Assessing and closing the gap between where an organisation’s data and processes are today and what genuine AI adoption requires.
Examples: Company-wide AI-assisted workflow adoption — including agent-based tooling, company-specific rules and skills, and staff prompt engineering training; analytics capability uplift and workflow integration for a Queensland state government department.
The data infrastructure that underpins reliable analytics, reporting and regulatory compliance.
Examples: Proprietary data warehouse design using star schema with staging and production environments; system / nation-level design of education information management systems.
Quantitative frameworks for measuring organisational performance against objectives.
Examples: Productivity and efficiency measurement frameworks for Australian and international higher education institutions (peer-reviewed publications and a Springer monograph); corporate services benchmarking for Australian universities; Balanced Scorecard development for an Indonesian corporate client.
Bespoke training programs for professional and technical audiences, designed and delivered in-context.
Examples: Analytics bootcamp for junior staff; R and data analysis training embedded within client project delivery; prompt engineering and AI context training for professional staff.
Structured sessions that build shared understanding and drive decisions for executives and administrators.
Examples: Systems thinking and Balanced Scorecard development workshops for executives; staff consultations and capacity-building workshops for non-profits; strategic planning, objective and KPI development for complex organisations.
Whether you have a data project, a training need, or just want to explore what’s possible — I’d love to hear from you.
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