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. He implemented a backend solution in Ruby that ensures only the initial page load is tracked, preventing analytics from capturing redundant events during update actions. This work enhanced the accuracy of payroll analytics dashboards, supporting better business decisions through cleaner metrics. Drawing on skills in API development, backend development, and event tracking, Ian prioritized data integrity over new feature delivery, demonstrating depth in maintaining robust analytics infrastructure and ensuring trustworthy data for stakeholders throughout the month.