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Higher education has never been short on data. What it has often been short on is the ability to use that data at the speed decisions actually need to be made. That gap has never been more costly than it is right now. According to Inside Higher Ed’s 2025 survey
Artificial Intelligence is currently the loudest topic in higher education boardrooms and IT departments. The promise is immense: predictive modeling for student retention, personalized learning pathways, and streamlined administrative operations. However, the rush to adopt “AI for higher education” is leading many institutions into a common trap. They are prioritizing the flashy interface—the
For many Institutional Effectiveness (IE) and Institutional Research (IR) teams, the word “accreditation” triggers a familiar sense of dread. It signals the start of the “Great Data Scramble”—a frantic, months-long process of emailing department heads, hunting down spreadsheets, and piecing together fragmented evidence to prove your institution is meeting its
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Higher education has never been short on data. What it has often been short on is the ability to use that data at the speed
