Data, AI & GIS Real Estate

Real Estate Data Workflows

Collect, clean, and analyse property data responsibly.

Market Research Fundamentals

Run a real estate market study end to end — from question to defensible recommendation. Framing the study around the decision it serves, mapping supply and weighting a pipeline by evidence of progress, building top-down and bottom-up demand and reconciling them when they diverge, pricing, absorption and benchmarking, primary research and triangulating weak data, and reading where the market sits in its cycle so a forecast carries a basis, a horizon and a falsifier. Ends with an applied toolkit of templates and two worked market studies.

Advanced Market Research & Feasibility Studies

Run a full commissioned market and feasibility study end-to-end: reframing a brief that asks the wrong question, advanced demand modelling, absorption and pricing under uncertainty against a competitive supply picture you build rather than copy, highest-and-best-use within a study, generating primary evidence through interviews, surveys and site audits, producing a defensible study in a thin-data market, and adapting the same analysis for a lender, an investment committee and a public body — including reliance, versioning and back-testing your own forecasts.

Asset Classes and Demand Drivers

How residential, retail, office, industrial, and hospitality assets behave, and the demand drivers behind each.

Investment Analysis Essentials

Analyse a real estate investment the way an investment committee will read it: the two engines of return, cash flows and cap rates, NPV, IRR and the equity multiple, debt and leverage, defensible underwriting and scenario analysis in emerging markets, and the exit and hold decisions that drive most of the answer. Ends with a recommendation you can defend — including the decision to decline — and an applied toolkit of memo, model, calculator and scenario templates.