Data Enrichment: Use Snowplow to capture and enrich user data, such as browsing behavior, transaction history, and interactions.

Load into Azure Synapse: Store the enriched Snowplow data in Azure Synapse for further analysis. You can integrate Snowplow’s data pipeline with Azure Data Factory for seamless data loading.

Fraud Detection Models: Use machine learning models in Azure Synapse or Azure Machine Learning to analyze this enriched data for fraud detection. Look for anomalies or patterns that might indicate fraudulent activity.

Real-Time Monitoring: Set up real-time alerts in Synapse to notify you of any suspected fraudulent activity based on the model’s predictions.