PropSight Analytics
Empowering Real Estate Leaders with Big Data & Spatial Intelligence
Analysts were navigating complex property markets through disconnected spreadsheets and static reports, missing time-sensitive investment opportunities.
Created a data visualisation suite that ingests large property datasets and renders interactive geospatial maps and trend dashboards in real time.
Our Process
Audited five external data sources and designed a unified ingestion pipeline using AWS Data Pipeline and Python ETL scripts for daily refreshes.
Built a custom geospatial engine on top of PostgreSQL with PostGIS extensions, enabling polygon-level market segmentation at city and suburb scale.
Created interactive map components and charting dashboards in Next.js, prioritising sub-2-second load times even for datasets exceeding 1M rows.
Deployed on AWS with IAM role isolation per client, S3-backed export for reports, and CloudFront CDN for low-latency access across regions.
Ran two onboarding sessions with the investment team, created an interactive help centre inside the app, and iterated on the UX based on analyst feedback.
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