- Data initiatives are proposed on a different timeline than the institution's planning cycle, making it hard to sequence investment.
- Competing operational areas – student success, research administration, finance, and others – each push their own use cases forward.
- No shared framework exists to evaluate and compare use cases against institutional strategy.
- Data readiness is often overestimated, leading to use cases being greenlit before the underlying data can actually support them.
Our Advice
Critical Insight
- A data use case has no inherent value – its value is only ever relative to how well it advances institutional strategy.
- No institution can afford to let its data portfolio be shaped by whichever stakeholder speaks loudest or pitches hardest.
Impact and Result
- A defensible, strategy-aligned shortlist of prioritized data use cases the CDO can bring to leadership.
- A ranked output and quadrant chart that visualizes value versus feasibility for every use case assessed.
- Output feeds directly into steps 4.1 and 4.2 of Info-Tech's Data Strategy blueprint.