Benchmarks Landing Page V2

Higher Education Sector Intelligence with Pilbara Benchmarks

Benchmarking Built on Models — Not Opinions

The Benchmarks are not based on surveys, they are calculated from standard models using detailed raw data from universities. Traditional benchmarks rely on survey responses. But when every institution calculates costs differently, comparisons become unreliable. Pilbara Benchmarks are built from raw data modeled using a standard costing methodology. We don’t benchmark reported numbers. We benchmark costs calculated the same way. The result is benchmarking that drives decisions — not debate.

Private Invitation: University Benchmark Preview

Evaluate real discipline-level benchmarks before committing to full participation.

We are inviting a limited group of university leaders to access a Private Preview of Pilbara’s Higher Education Benchmarks.

This preview includes:

  • Real benchmark data (2021–2023)

  • 2-digit Field of Education (FoE) comparisons

  • A selected set of core metrics

  • Access to Pilbara Intelligence (AI-assisted analysis)

No data submission required.

Limited invitations for university finance and academic leaders. Access provided within 1–2 business days.

Example from the Full Benchmark Dataset

Below is an example discipline benchmark from the full dataset, showing real Mathematics metrics for 2024.

The Private Preview includes 2021–2023 data at 2-digit FoE level but uses the same structure and methodology.

“We understand what our programs cost, but what should they cost?”

The Question That Started It All

While working with the LH Martin Institute at the University of Melbourne, a senior professor asked us the question above, which was deceptively simple, but one we couldn’t answer.

Answering that required something higher education has always struggled with: true, like-for-like comparison across institutions.

Programs are structured differently. Data sits in silos. Cross-subsidies blur the picture. Subjects feed multiple programs. Very little lines up neatly.

For over 20 years, Pilbara Group has solved the first problem: accurately calculating the full cost of teaching.

Pilbara Benchmarks solves the next one: comparing those costs meaningfully across institutions.

What Makes Pilbara Benchmarks Different

This is not high-level league table benchmarking.

This is activity-based, discipline-level, evidence-driven benchmarking built on a consistent methodology across institutions.

Your institution compared against real peers using:

  • 21 core financial and non-financial measures

  • 2-Digit and 4-Digit Fields of Education

  • Bachelor, Postgraduate and Sub-Bachelor programs

  • Academic, professional and non-salary cost mix

  • Efficiency and workload indicators

  • Four years of multi-institution benchmark data

Behind the scenes, we have curated over 100 million validated records from an original dataset of more than 9 billion rows, using consistent Activity-Based Costing models.

This ensures comparisons are meaningful, defensible, and decision-ready.

Pilbara Intelligence

Pilbara Benchmarks incorporates Pilbara Intelligence; an AI solution designed specifically for higher education management.

Two powerful components working together

SQL Agent
Interrogates the underlying database directly, ensuring calculations are accurate, traceable, and trustworthy.

Large Language Model Interface
Allows leaders to explore benchmarks using natural language. Ask questions conversationally and receive structured, evidence-based insights.

It is like having a dedicated higher education data analyst available whenever you need one.

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Limited invitations for university finance and academic leaders. Access provided within 1–2 business days.

The Process

Move From “How Do We Compare?” to “Why?”

Traditional benchmarking tells you where you sit overall.

Pilbara Benchmarks helps you understand why.

Leaders can explore questions such as:

  • Why is our cost per EFTSL higher in Biology—is it driven by staffing levels, salary costs, or non-salary expenses?
  • Which disciplines should we grow, sustain, or review based on their cost-efficiency profile, resource intensity, and alignment with our delivery model?
  • Are our FTE-to-EFTSL ratios aligned with our actual teaching delivery patterns and workload, or do we have structural inefficiencies?
  • If we have similar cost per EFTSL to sector in Engineering, do we achieve this through lower staffing, lower salaries, or operational efficiency?

This moves benchmarking from static reporting to strategic insight.

Sample CFO Report

We have included a sample CFO report generated by Pilbara Intelligence using Insights University demo data, compared against real benchmark data available for download.

This demonstrates:

  • How insights are structured

  • The tone suitable for executive reporting

  • The level of diagnostic explanation

The objective with this type of AI assisted analysis is not to generate a final polished report, rather it allows multiple different scenarios and reports to be created very quickly, in minutes, and grounded in real numbers. Then you can select the best options for more in-depth analysis and the final development of the completed document / analysis.

Built for Academic and Financial Leaders

Pilbara Benchmarks supports the conversations that matter most.

Budget Support

Identify cost per EFTSL metrics that can support baseline budget estimates.

Resource justification

Build evidence-based cases for investment, protection, growth or restructuring of disciplines and programs.

Strategic planning

Align resourcing with institutional priorities such as sustainability, equity, growth, or mission differentiation.

Performance and workload discussions

Support fair and transparent discussions grounded in comparable sector evidence rather than internal assumptions alone.

Cross-institution dialogue

Benchmark confidently against peers to highlight strengths, explain differences, and identify improvement opportunities.

Models Designed to Grow

Integrated with Microsoft Excel — Intelligence Where You Work

We recognise that for most higher education finance and planning teams, Microsoft Excel remains the primary analytical environment. Financial models, forecasts, faculty planning, scenario analysis, and board reporting often begin — and end — in Excel.

That is why both our Higher Education Sector Intelligence dataset and Pilbara Intelligence AI are fully integrated with Microsoft Excel.

Rather than requiring institutions to adopt a separate analytics environment, we deliver intelligence directly into the tools leaders already use.

This approach ensures that intelligence is not siloed in a separate dashboard or platform. Instead, it becomes embedded in the day-to-day decision processes of finance teams, faculty managers, and executive leaders.

Our objective is simple:

Deliver intelligence where you already work.

By combining structured sector intelligence, AI-driven analysis, and seamless Excel integration, we support universities in moving from static spreadsheets to dynamic, insight-enabled decision models — without disrupting existing workflows.

The result is practical, immediately usable intelligence that strengthens financial sustainability, planning quality, and strategic clarity across the institution.

Limited invitations for university finance and academic leaders. Access provided within 1–2 business days.

Academic Partnership: Centre for the Study of Higher Education

To ensure our Higher Education Sector Intelligence delivers not just analytical depth but sector credibility, Pilbara is working in collaboration with the Centre for the Study of Higher Education (CSHE) at the University of Melbourne to analyse the underlying benchmark dataset and identify the most strategically significant insights for higher education leaders.

Established in 1968, the CSHE is a research and development centre dedicated to improving and utilising the best evidence-base for professional development and for influencing policy and practice in higher education.

This collaboration ensures that our intelligence is not simply data-rich, but context-rich — grounded in rigorous academic research and aligned with the real strategic challenges facing universities.

Download the latest research paper here.

 

Academic Foundations of Methodology

The model methodologies that underpin the Benchmarks align with Professor William F Massy’s economic models described in his latest book “Resource Management for Colleges & Universities” and you can download an extract of his book here.

More Than Benchmarks. A Platform for Collaboration.

The benchmark dataset is powerful. The real impact comes from what it enables.

Pilbara Benchmarks creates a shared evidence base that supports cross-institution learning and collaboration, helping universities improve quality, sustainability and public value.

At a time of increasing financial pressure and complexity, shared insight is no longer optional. It is essential.

What the Private Preview Includes

The Private Preview is a reduced working version of the full benchmarks.

Data Scope:

  • Years: 2021–2023

  • Granularity: 2-digit FoE

  • Real benchmark data (not synthetic demo data)

Metrics Scope:

  • A selected subset of core measures

Tools:

  • Pilbara Intelligence (AI assistant)

This preview is designed for evaluation — not full analysis.

What the Private Preview Does Not Include

The Private Preview does not include:

  • 4-digit FoE detail

  • 2024 benchmark coverage

  • All 21 metrics

These capabilities are available in the full benchmark program.

Limited invitations for university finance and academic leaders. Access provided within 1–2 business days.

Discuss Full Benchmarks

If you would prefer to discuss the full benchmarks rather than request access to the private preview, please complete the form below.

Pilbara is trusted by leading institutions around the world

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Enterprise-Level Data Security and Governance

We understand the sensitivity of institutional data.

Pilbara Group has achieved SOC 2 Type II compliance under AICPA SSAE 18 standards. This provides independent, third-party validation of our enterprise-level security controls.

We are also implementing robust AI governance frameworks and guardrails to ensure outputs are transparent, explainable and responsible.

Human oversight remains central. Pilbara Intelligence supports decision makers, it does not replace them.

View our Trust Centre