Effective data-driven decision making in ophthalmology is transforming how practices handle patient appointments, reducing the rate of no-shows and cancellations while optimizing operational efficiency. In this article, explore strategies for incorporating analytics into ophthalmology practice management to reduce missed appointments and enhance resource utilization. Discover how predictive modeling and patient behavior insights can empower ophthalmologists to make informed, proactive scheduling decisions that benefit both patients and staff. By addressing common scheduling challenges through analytics, ophthalmology practices can build a patient-centric, efficient, and responsive healthcare environment.