This case study reviews the implementation of a learning analytics (LA) system at a large southeastern university. The LA system uses cloud computing to automate data collection and distribution, providing faculty with insights into student performance and engagement. The system includes weekly alert emails and dashboards offering detailed insights into student learning. The study explores faculty perceptions of the LA system, focusing on its uses, benefits, weaknesses, and barriers to adoption. Data were collected through surveys and focus groups involving faculty who participated in a pilot initiative. Findings reveal that when provided LA, faculty will make data-driven changes to their teaching strategies and are likely to include changes to their feedback, communication, and interactions. Additionally, while LA helped faculty identify performance trends and support students, it also presented challenges such as a learning curve and Learning Management System (LMS) integration issues. Recommendations for improving LA adoption include ongoing training to optimize use of the analytics and facilitate data-informed decisions that support student success and course improvements, clear institutional policies regarding data privacy, and a focus on the long-term impact on student outcomes and teaching practices.