A developer demonstrated using Splunk to monitor a simulated Nigerian fintech platform, processing over 5,000 randomized transaction events. The lab focused on real-time fraud detection and business analytics, covering events like payment successes, failed logins, and KYC submissions.

Using Python and VS Code, the script generated a dataset with fields for user ID, amount, bank, location, and device. This approach mirrors how financial institutions ingest and analyze transaction data to flag suspicious activity and track key performance indicators.

The exercise required creating an executive dashboard and writing SPL (Search Processing Language) queries. It highlights the practical application of log analysis tools for security operations and regulatory compliance in the fintech sector.