A number of technologies and practices have great potential to impact postsecondary data and analytics adoption

4 scenarios for the future of postsecondary data and analytics


A number of technologies and practices have great potential to impact postsecondary data and analytics adoption

Panelists also identified the most critical technologies and practices that they think are poised to have a significant impact on the future of postsecondary data and analytics.

Those technologies and practices include:
Data Management and Governance
• Unifying Data Sources
• Modern Data Architecture
• Data Literacy Training
• DEI for Data and Analytics
• Assessing and Improving Institutional Data and Analytics Capabilities

As the panelists considered the potential for each of these technologies and practices individually to have an impact on overall institutional data and analytics adoption, they also highlighted the interdependencies between these technologies and practices.

Those considerations led to four potential scenarios for the future of postsecondary data and analytics.

1. Growth: “Only measurement matters” has become a common catchphrase in higher education as institutions are increasingly being asked to adhere to data-driven
decision-making processes.

2. Constraint: Institutions have been forced to operate on dwindling budgets, and data and analytics teams in particular are understaffed and overwhelmed.

3. Collapse: Public opinion on the value and ROI of a traditional college degree has continued on a downward trend, and underfunded and understaffed institutions lack the data and analytics capabilities for measuring and reporting compelling evidence of their value to skeptical consumers.

4. Transformation: Efficiency is driving value around the world, and higher education has taken on the challenge of improving the health of our global ecosystems by
redefining the purposes and uses of physical spaces.

Find the full report and detailed perspectives here.

Laura Ascione