Boise State University Moves ERP to the Cloud

In an effort to transform core business processes and advance strategic goals, Boise State University is moving its ERP to the Oracle Enterprise Resource Planning Cloud. The institution is working with Oracle Consulting on the implementation, with four primary goals:

  • Automate and transform business processes across the entire ERP lifecycle including financial management and billing, procurement, grant management, project management and reporting to drive greater operational efficiency and organizational effectiveness;
  • Empower staff with information and critical insight when and where they need it;
  • Reduce IT complexity and boost IT agility to meet rapidly changing needs; and
  • Improve total cost of IT ownership while ensuring scalability.

By choosing a cloud-based solution, Boise State will also sidestep the costs of purchasing, building out and modernizing hardware infrastructure, as well as the costs associated with typical on-premise upgrades, according to a press release.

For the first phase, the system will be rolled out to finance team members, university administrators and academic staff members. The university also hopes to apply more precision and transparency to its grants management efforts, an important process for expanding research and graduate programs.

"We are eager to experience the many benefits that Oracle ERP Cloud can deliver to our growing university, including greater agility to adapt to the rapidly changing dynamics in higher education and at our own institution," said Jo Ellen Dinucci, associate vice president of finance and administration at Boise State, in a prepared statement. "As we begin our move to Oracle Cloud, we are excited by the prospect that the savings from process improvements will more than offset the costs of the solution — all while delivering reliability and scalability and allowing us to benefit rapidly from the latest features and functionality."

Max Davis-Johnson, the institution's associate vice president and CIO, commented, "The benefits of moving to a cloud-based system are all there: reducing infrastructure costs; the opportunity to repurpose staff to other needed areas; eliminating costly upgrades; keeping the system current; the ability to grow and scale as needed."

About the Author

Rhea Kelly is editor in chief for Campus Technology, THE Journal, and Spaces4Learning. She can be reached at [email protected].

Featured

  • The AI Show

    Register for Free to Attend the World's Greatest Show for All Things AI in EDU

    The AI Show @ ASU+GSV, held April 5–7, 2025, at the San Diego Convention Center, is a free event designed to help educators, students, and parents navigate AI's role in education. Featuring hands-on workshops, AI-powered networking, live demos from 125+ EdTech exhibitors, and keynote speakers like Colin Kaepernick and Stevie Van Zandt, the event offers practical insights into AI-driven teaching, learning, and career opportunities. Attendees will gain actionable strategies to integrate AI into classrooms while exploring innovations that promote equity, accessibility, and student success.

  • chart with ascending bars and two silhouetted figures observing it, set against a light background with blue and purple tones

    Report: Enterprises Embracing Agentic AI

    According to research by SnapLogic, 50% of enterprises are already deploying AI agents, and another 32% plan to do so within the next 12 months..

  • laptop screen displays an

    Crafting Thoughtful AI Policy in Higher Education: A Guide for Institutional Leaders

    Here's how to develop and implement an AI framework that not only aligns with an institution's unique mission, but also addresses the diverse needs of its stakeholders, including faculty, students, staff, and administration.

  • minimalist digital network with glowing interconnected lines and nodes

    Integration Brings Cerebras Inference Capabilities to Hugging Face Hub

    AI hardware company Cerebras has teamed up with Hugging Face, the open source platform and community for machine learning, to integrate its inference capabilities into the Hugging Face Hub.