Higher education institutions recognize data as strategically valuable, yet most face significant obstacles in modernizing their data systems and practices, according to a new EDUCAUSE QuickPoll survey.
The poll reveals a gap between institutional intent and execution. Colleges and universities understand that better data management can improve decision-making, student outcomes, and operational efficiency. However, barriers ranging from legacy systems to budget constraints are slowing progress across the sector.
The survey captures responses from higher education leaders responsible for data strategy and technology infrastructure. Results show that institutions struggle with several common obstacles. Technical debt from older systems complicates integration with new platforms. Staff shortages leave many institutions without dedicated data scientists or engineers needed for modernization projects. Budget limitations force institutions to prioritize immediate operational needs over long-term infrastructure improvements.
Data governance presents another challenge. Many institutions lack clear policies for how data is collected, stored, and used across departments. This fragmentation creates silos that prevent effective data sharing and analysis. Without strong governance frameworks, institutions cannot fully leverage their data assets.
The timing of these findings matters. As enrollment pressures mount and competition for students intensifies, data-driven insights into student recruitment, retention, and academic performance become increasingly valuable. Institutions that modernize faster gain competitive advantages in understanding student behavior and improving completion rates.
EDUCAUSE, the association serving higher education technology professionals, regularly surveys the sector on emerging challenges. This QuickPoll adds to growing evidence that data modernization ranks among the top infrastructure priorities for colleges and universities, alongside cybersecurity and cloud migration.
The results suggest that many institutions need better roadmaps for data modernization. Those making progress typically have executive-level support, dedicated budgets, and phased implementation plans that address technical debt while building new capabilities. Peer institutions sharing experiences through professional networks like EDUCAUSE can accelerate learning about what modernization strategies work.