IT and Data Analytics
The Enterprise Project is a business process transformation and system implementation that will leverage Workday and other enterprise technologies to enable Ohio State’s strategic plan and teaching, research, service and patient care missions.
Benefits for IT and Data Analytics Professionals
Through modern systems and more efficient processes, the Enterprise Project will help you focus your work day on what matters most to you. For IT and data analytics professionals, that means implementing a leading cloud-based software that is frequently updated with feedback from the end-user community.
System updates can be deployed quickly and less expensively compared to Ohio State’s current ERP system. Eliminating complex upgrades and customizations means a more agile system and community.
Ohio State will establish common platforms, policies and processes for applications, reports and data. A coordinated approach to university data will ensure clean and accurate information and real-time reports.
The Enterprise Project enables the university’s IT Strategy through mobile functionality, lean IT processes and improved reporting and analytics.
IT and Data Analytics FAQs
What IT and Data Analytics processes and systems are changing?
How can I get involved in the Enterprise Project?
Contact firstname.lastname@example.org for more information on how you can get involved.
IT and Data Analytics News
A trio of undergraduate engineering students recently completed a capstone assignment supporting the Enterprise Project’s Enablement team. Son Le, Ziman Ling and Bo Lu earned “Best in Class” recognition for their work addressing integration challenges with cloud applications.
2017 saw Ohio State's IT community making great strides in harnessing technology to enhance the university experience of our students, faculty and staff. Among the featured highlights in the 2017 Year in Review is the Enterprise Project and its goal of creating more efficient processes and implementing modern systems.
Data governance ultimately leads to quality data, solidifying one source of truth for one university. Building on the data management efforts of the university analytics community, the Enterprise Project is weaving sound data governance principles into re-designed business processes. By doing so, the university will have reliable data from the onset, which can then be easily monitored for accuracy and consistency.