Forecasting
Forecasting Consulting
Forecasting workflows for demand, revenue, cost, risk, operations, and careful financial-market or investment contexts.
Services
Quantitative consulting services for serious analytical workflows.
Practical support for forecasting, model comparison, scenario testing, data automation, integrated analytics platforms, and ongoing quantitative advisory. Hurst Analytics works with organisations in Brisbane, across Australia, and internationally where remote consulting is suitable.
Catalogue
Service areas
Each service area is scoped around a clear commercial question, a defensible analytical method, and an output that can be used in planning or operations.
Validation
Model Comparison & Validation
Structured comparison of statistical, econometric, and machine learning models against clear benchmarks.
Scenarios
Scenario Analysis & Stress Testing
Frameworks for understanding how outcomes change under different assumptions, shocks, or strategic choices.
Automation
Data Automation & Reporting
Repeatable data cleaning, analysis, and reporting systems that replace fragile spreadsheet routines.
Platforms
Integrated Analytics Platforms
Premium analytics systems combining data intake, validation, modelling engines, dashboards, reports, cloud deployment, and support.
Retainers
Quantitative Advisory Retainers
Ongoing modelling, forecasting, and reporting support without hiring a full-time specialist.
Integration
Microsoft 365 & Azure Integration
Connect Excel, SharePoint, OneDrive, Power BI-ready outputs, and Azure-hosted analytics tools to cleaner reporting workflows.
Explore
Filter services by objective.
Most engagements begin as a planning, assurance, or systems problem, then narrow into a specific model, workflow, or platform build.
Forecasting, scenario analysis, and repeatable planning models for recurring management decisions.
FAQ
Early project questions
The right scope depends on data readiness, decision cadence, and whether the work is a one-off review or a repeatable system.
Yes. A focused review can clarify model quality, data readiness, workflow risks, and the most useful next step.
Discuss a Project
Share the analytical decision, reporting burden, or forecasting requirement you want to improve.