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Abstract visualization of data streams converging into a unified data strategy
Session 4

Data Strategy Journey: Storing, Understanding, Unleashing

Wednesday, June 10, 2026 11:00 AM โ€“ 12:00 PM CMC ยท RDSC 134

About This Session

Last year, Denison University launched a refreshed data governance initiative that evolved into something far more transformative: a central Data & Decision Support Team. By breaking down silos, they brought together data experts from Finance, Institutional Research, and ITS into a unified "team of teams." This year, they have a fully functional team, a proven delivery model, established trust across campus, and the agility to take on larger modernization efforts โ€” including a data lake implementation.

This session explores why Denison moved away from a policy-first approach in favor of a change management model that prioritizes community value โ€” and what that actually looks like in practice at a small liberal arts institution.

Session Flow

  • 10 minThe Pivot โ€” Evolving the data governance model and how the DaDS "Team of Teams" was born
  • 15 minThe Delivery Model โ€” Detailed look at the dual-track approach: student-led projects balanced with executive strategy
  • 10 minModernizing the Stack โ€” Technical highlights of their data lake implementation and reporting architecture
  • 10 minLessons from the Trenches โ€” The honest truth about trust-building and cultural shifts at a liberal arts institution
  • 15 minQ&A โ€” Interactive discussion on scaling these models at peer institutions

Key Takeaways

  • Why building operational processes and community trust must precede formal governance structures
  • How a dual bottom-up/top-down approach drives lasting data culture change at a small institution
  • How student internships and project-based delivery accelerate data modernization
  • What it takes to earn and sustain cross-departmental trust in data initiatives

Learning Outcomes

  • Articulate why building operational processes and community trust should precede formal governance structures.
  • Identify practical strategies for running a dual bottom-up/top-down approach to data culture change at a small institution.
  • Apply a team-of-teams and project-based model to accelerate data modernization efforts on your own campus.

Session Description

The presentation focuses on Denison's journey from "policy-first" to "people-first" โ€” and how they have been building a "Team of Teams" Data Culture. The dual-track strategy utilizes undergraduate student internships and project-based delivery, paired with top-down strategic alignment. Attendees will learn how Denison has been building a "data-curious" culture through community wins while formalizing data governance, improving analytics, and modernizing their data ecosystem.