Classroom analytics leverages data-driven insights to enhance teaching practices in higher education. This study examines the impact of TEACHActive, a professional development model that integrates an automated classroom observation system with a feedback dashboard. The system enables data-informed decision-making through real-time analytics on metrics including instructor movement, student participation, and speech patterns. Semi structured interviews were conducted with seven engineering instructors about the system’s long-term impact. Findings highlight the potential of classroom analytics to transform teaching and offer a scalable model for professional development. Challenges are discussed, such as time constraints, large-class engagement, and balancing active learning with content coverage. This study contributes to classroom analytics research by demonstrating its potential for data-driven professional development and long-term instructional transformation.