In higher education, the standard advice on data governance has been pretty simple for a long time: Build a council, centralize decisions and route everything through IT. For a while, that works. You stand up a committee, you write a charter, you cen...
In higher education, the standard advice on data governance has been pretty simple for a long time: Build a council, centralize decisions and route everything through IT. For a while, that works. You stand up a committee, you write a charter, you centralize definitions and approvals. And then, quietly, the model stops working. IT becomes the bottleneck for every data question on campus. You’re chasing report definitions, field names and artificial intelligence (AI)-related concerns one request at a time. The council still meets, but governance isn’t really operating day to day. The problem…
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EdTech Magazine — Higher Ed (EN)