Managing Director, Data & Analytics EAB, United States
Session Abstract: Reliable data informs the decisions that shape the future of your institution and your students. But most schools struggle to translate their high volume of data into meaningful insights quickly. The backlog of ad hoc data requests has ripple effects across campus, limiting collaboration and slowing decisions. A holistic approach to data governance can help you overcome these challenges.
In this interactive session, you’ll learn five key principles to design and deliver effective data governance, discuss common challenges, and see examples from institutions who have managed this work successfully.
We’ll also discuss the decision making that good governance enables using LMS data as a case study. Specifically, we’ll examine how predictive modeling with LMS data in EAB’s Edify can help identify students' successes or intervention needs as early as week two of the academic term—going beyond the insights pre-enrollment data provides—to improve academic outcomes.
Keywords: Data governance Data-Informed decision-making LMS data Predictive model
