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

Current technologies and practices have big implications for the future of postsecondary data and analytics.

The 2022 EDUCAUSE Horizon Report: Data and Analytics Edition profiles trends and key technologies that are impacting data and analytics. The report also outlines various scenarios and implications based on perspectives and expertise from a panel of higher-ed leaders. These implications will drive institutional decision-making and strategic planning for the future.

Horizon panelists identified 15 trends, across five categories, as post important in shaping the future of postsecondary data and analytics.

Social
• Institutions are increasingly asked to support decisions with data.
• Many big data methods reinforce social inequality.
• A focus on creating equitable learning and work environments is increasing.

Technological
• Existing data infrastructures are outdated and disorganized.
• Institutions still struggle to implement data governance systems.
• Data literacy and AI skills still lag behind the rapid adoption of big data analytics products.

Economic
• Free or inexpensive certificates from nonaccredited platforms are becoming more common.
• The value and ROI of a college degree are being questioned.
• Tech salaries are growing at an unprecedented rate.

Environmental
• Institutions are rethinking the use of their physical spaces.
• Commuting patterns are changing due to the pandemic.
• The demand for green IT services is growing.

Political
• Data privacy laws are getting more complex around the globe.
• There is increasing political involvement in public education.
• AI technology is being used for policing.

Laura Ascione