Real-Time Analytics Showcase: TfNSW Park & Ride
See how SmartDT turns live public data into instant operational insight.
A full demonstration of how SmartDT uses Python, Azure, BigQuery, and custom dashboards to turn live public data into real-time, actionable insights.
What This Demonstrates
This showcase includes:
- Automated real-time ingestion (Python + Azure Functions)
- Real-time + historical modelling
- Fill-rate and occupancy insights
- BigQuery analytical layer
- Custom dashboard UI
- Fully automated, end-to-end cloud data engineering pipeline
How the pipeline works
Data is collected from the TfNSW Open Data API using Python scripts running in Azure Functions.
It is then streamed into BigQuery for historical modelling, where a custom UI visualises occupancy, availability, fill rates, and trends in near real-time.
This architecture can be adapted to any public or internal data source.
Why We Built This
- To demonstrate real-time analytics using public, non-sensitive data.
- To show what’s possible when modern cloud engineering meets clean, intuitive dashboard design
- To illustrate how SmartDT can turn any data source (public or internal) into usable, actionable insights.
What This Means for Your Business
- Real-time operational monitoring
- Automated ingestion from ANY API
- Predictive analytics on historic patterns
- Alerts for critical events
- Insights for transport, retail, logistics, utilities, property
- Eliminate manual reporting through automated, always-on dashboards
Want This For Your Organisation?
SmartDT builds real-time dashboards for any data source, internal or external.
From API ingestion to historical modelling and live dashboards, we deliver complete, end-to-end data solutions that scale.