Formula 1® Australian Grand Prix™
CREATING A MORE CONNECTED, DATA-DRIVEN MAJOR EVENT
Bringing fragmented customer data together on AWS to create a trusted foundation for deeper audience insight and future innovation.
The Australian Grand Prix Corporation (AGPC) operates within an increasingly complex digital ecosystem, with customer information generated across ticketing, marketing, e-commerce and other operational platforms.
PMY partnered with AGPC to bring this information together through a Unified Data Platform (UDP), built within a new Amazon Web Services (AWS) cloud environment. Rather than customer data remaining distributed across individual systems, the platform creates a connected and governed data foundation for the organisation..
Creating a Single Customer View
At the heart of the platform is a Single Customer View, bringing together customer records from across AGPC’s ecosystem into a more consistent, accurate and enriched view.
PMY implemented the data ingestion pipelines, cleansing and integration required to consolidate these sources, alongside a custom API layer designed to provide a scalable and standardised foundation for connecting future customer, membership and loyalty systems.
Expanding the connected data ecosystem
Following the initial implementation, PMY expanded the Unified Data Platform to incorporate additional digital, advertising, e-commerce, operational and crowd intelligence data.
The expanded platform introduced further automated data pipelines and API integrations while continuing to enrich the Single Customer View and optimise AGPC’s AWS environments across development, testing and production.
Building for what comes next
The result is a scalable cloud data foundation that gives AGPC a more connected view of its customers and creates the infrastructure required to continue expanding how data is used across the organisation.
With its Unified Data Platform established on AWS, AGPC has a foundation for richer audience insight, more sophisticated customer engagement and future analytics and AI initiatives.
KEY OUTCOMES:
- UNIFIED CUSTOMER DATA ACROSS PREVIOUSLY DISCONNECTED SYSTEMS
- CREATED AND EXPANDED A TRUSTED SINGLE CUSTOMER VIEW
- IMPROVED CUSTOMER DATA QUALITY THROUGH CLEANSING AND UNIFICATION
- ESTABLISHED AUTOMATED INGESTION AND INTEGRATION PIPELINES
- CREATED A SCALABLE API FOUNDATION FOR FUTURE SYSTEMS
- BUILT AND OPTIMISED AWS ENVIRONMENTS ACROSS DEVELOPMENT, TESTING AND PRODUCTION
- ESTABLISHED A SCALABLE FOUNDATION FOR FUTURE ANALYTICS AND AI
