Media — Real-Time Streaming Transaction Fraud Detection Pipeline

Overview

The primary purpose of this DAG is to detect fraudulent activities in real-time within streaming transactions, thereby safeguarding revenue and enhancing customer trust in the media industry. It ingests data from various sources, including transaction databases and activity logs, ensuring comprehensive coverage of all relevant transaction activities. The ingestion pipeline begins with collecting streaming transaction data and subscription information, followed by a rigorous normalization process

The primary purpose of this DAG is to detect fraudulent activities in real-time within streaming transactions, thereby safeguarding revenue and enhancing customer trust in the media industry. It ingests data from various sources, including transaction databases and activity logs, ensuring comprehensive coverage of all relevant transaction activities. The ingestion pipeline begins with collecting streaming transaction data and subscription information, followed by a rigorous normalization process to standardize the data for analysis. Once normalized, advanced fraud detection models are applied to score transactions based on their likelihood of being fraudulent. Quality control measures are implemented throughout the pipeline to ensure data integrity and compliance with industry regulations. In the event of a fraud detection failure, alerts are automatically generated and dispatched to relevant teams for immediate investigation. The outputs of this DAG include detailed fraud reports, real-time alerts, and compliance documentation, which are essential for maintaining operational integrity. Monitoring key performance indicators (KPIs) such as detection accuracy, response time, and alert frequency provides insights into the effectiveness of the fraud detection system. The business value lies in reducing revenue loss due to fraud, enhancing customer satisfaction, and ensuring regulatory compliance, ultimately contributing to a more secure and trustworthy streaming environment.

Part of the Supply/Demand Forecast solution for the Media industry.

Use cases

• Minimizes revenue loss from fraudulent activities
• Enhances customer trust in streaming services
• Ensures compliance with industry regulations
• Provides actionable insights for fraud analysts
• Improves operational efficiency through automation