Australian FinTechReal-time transaction and fraud analytics
A payments and lending organization needed faster fraud visibility across approximately 2.5 million daily transactions.
- Event-streaming ingestion and scalable processing
- Machine-learning anomaly detection
- Governance aligned with APRA and AUSTRAC expectations
Outcome: moved investigation from delayed batch reporting toward near-real-time risk signals.
AzureDatabricksPySparkML
Australian RetailUnified analytics across 50+ stores
Fragmented retail and e-commerce data caused 12-hour reporting delays and avoidable stockouts.
- Cloud-native data architecture
- ETL processing for 500+ GB per day
- Near-real-time inventory and sales reporting
Outcome: faster operational decisions and better stock visibility.
ADFData LakePower BISQL
Enterprise ModernizationGoverned lakehouse and executive analytics
Multiple systems were consolidated into a governed medallion architecture with repeatable quality controls.
- Bronze, silver and gold data layers
- Automated validation and reconciliation
- Role-based analytics and lineage
Outcome: trusted datasets and a repeatable foundation for analytics and AI.
Microsoft FabricDelta LakePower BI
Client identities and selected implementation details are withheld under confidentiality agreements.