Higher education ERP modernization is accelerating, but not from a position of strength. Institutions are navigating years of fragmented systems, heavy customization, and uneven digital maturity, even as pressure to modernize continues to build. While the education ERP market is growing rapidly, institutions are still grappling with siloed systems and inconsistent infrastructure that limit their ability to fully capitalize on new technology.
Against that backdrop, new initiatives at Central Michigan University (CMU) and University of Nevada, Las Vegas (UNLV) highlight how institutions are approaching modernization from different starting points, but with the same end goal: standardization, integration, and readiness for AI-driven operations.
CMU’s ERP Replacement: Eliminating Legacy Complexity
At CMU, leadership is preparing to replace its long-standing SAP-based ERP system with a modern, integrated platform following years of planning and internal assessment. The university has formed an executive steering committee to guide the transition, positioning the effort as a transformation initiative rather than a technical upgrade.
Officials emphasized the current system has become heavily customized over time, creating inefficiencies, workarounds, and fragmented processes across departments. The replacement effort will prioritize standardized workflows, improved data access, and reduced manual effort, with the goal of enabling more advanced capabilities such as automation and AI.
The university is now moving into the request for proposal (RFP) phase, evaluating vendors and engaging stakeholders across campus to define requirements. Governance, transparency, and a focus on avoiding legacy process replication are central to the initiative, signaling a shift toward more disciplined ERP implementation practices.
UNLV’s Workday Footprint: Workforce Systems Expansion
At UNLV, the transformation is taking place within an existing cloud platform. The institution is transitioning to Workday Learning and Workday Performance as part of a broader system-wide rollout led by the Nevada System of Higher Education.
The move will replace legacy systems for training and performance management with modules integrated directly into the existing Workday environment. This enables automated updates tied to employee roles, a unified user experience, and shared access to training content across institutions within the system.
UNLV’s phased rollout includes pilot testing in mid-2026, followed by full deployment later in the year and into early 2027. The transition reflects a growing emphasis on consolidating systems within a single platform rather than maintaining fragmented point solutions.
Standardization, Integration for Higher Education
While the two initiatives differ in scope, they reflect the same underlying shift. Institutions are moving away from highly customized, siloed systems toward standardized, integrated platforms that support cross-functional visibility and scalability.
For CMU, that means replacing legacy ERP infrastructure that no longer aligns with institutional needs. For UNLV, it means expanding an existing foundation to unify additional workforce processes.
In both cases, modernization is tied directly to operational outcomes: reducing duplication, improving data consistency, and enabling more efficient service delivery for students, faculty, and staff.
What This Means for ERP Insiders
Higher education is entering a new ERP cycle driven by modernization pressures. Legacy systems, particularly highly customized environments, are being replaced or rationalized as institutions seek more scalable, cloud-based architectures.
Standardization is replacing customization as a guiding principle. Both initiatives emphasize reducing workarounds and aligning processes across departments or institutions, reflecting lessons learned from earlier ERP implementations.
ERP decisions are increasingly tied to AI and automation readiness. Universities are explicitly linking modernization efforts to their ability to leverage data, automation, and AI, signaling that future value will depend on how well systems support these capabilities.
