Financial Statistics & Analytics
Transforming complex financial data into strategic insights that drive informed corporate decisions across Australia's dynamic business landscape
Market Intelligence Through Numbers
Raw financial data tells only part of the story. We dig deeper, analyzing market trends, competitor positioning, and economic indicators to reveal the patterns that matter most to your business strategy.
Our approach combines traditional financial analysis with modern data science techniques. Think regression analysis meets real-world business intuition—because sometimes the most valuable insights come from understanding what the numbers don't immediately show.
Recent client work includes analyzing supply chain disruptions across mining sector companies, where we identified cost optimization opportunities worth millions in operational savings.

Statistical Modeling Excellence
Every business decision deserves robust statistical backing. Our modeling approaches turn uncertainty into calculated confidence.
Predictive Forecasting
Multi-variable models that account for seasonal variations, economic cycles, and industry-specific factors affecting your revenue streams.
Risk Assessment
Quantitative risk modeling using Monte Carlo simulations and stress testing to evaluate potential scenarios and their financial impact.
Performance Metrics
Custom KPI frameworks that track what actually drives business value, moving beyond generic ratios to meaningful measurement.


Advanced Corporate Finance Modeling
Building financial models isn't just about Excel formulas—it's about creating tools that support critical business decisions. Our models balance mathematical precision with practical usability.
- DCF models with sensitivity analysis across multiple scenarios
- Merger and acquisition valuation frameworks
- Capital structure optimization using statistical correlation analysis
- Budget variance analysis with root cause statistical identification
- Cash flow forecasting with confidence intervals
- Industry benchmarking using peer group statistical analysis
We've helped clients navigate complex financial decisions, from evaluating acquisition targets to optimizing capital allocation strategies. Each model is tailored to your specific industry dynamics and business objectives.
Statistical Expertise You Can Trust
Our team combines deep statistical knowledge with practical corporate finance experience, ensuring your analysis is both mathematically sound and business-relevant.

Carmen Fitzgerald
Carmen brings fifteen years of experience in econometric modeling and financial forecasting. She's particularly skilled at identifying statistical anomalies that often signal important business opportunities or risks before they become obvious.

Brielle Santos
With a background in both finance and data science, Brielle specializes in machine learning applications for financial analysis. Her work often uncovers patterns in financial data that traditional analysis methods might miss.