Ian Norris focused on improving analytics reliability for the DSACMS/iv-cbv-payroll repository by addressing a critical bug that caused duplicate page view events during data polling. Using Ruby and leveraging his expertise in backend and API development, Ian implemented a solution that ensures only the initial page load is tracked, preventing redundant analytics events during update actions. This change enhanced the accuracy of payroll analytics dashboards by delivering cleaner, more trustworthy metrics. Although no new features were shipped during the month, Ian’s work demonstrated depth in event tracking and data integrity, directly supporting better business decision-making through improved data quality.