Data Analysis
Decision making will be informed through the purposeful coalescence of data from multiple and distinct sources into a common set of dashboards and standard reports that support optimization and data analysis.
- Moving beyond “canned” reports - Personal exploration of data will allow for greater insights via slice & dice
- Dashboards and visual data presentations will dominate reporting
- Pulling together data silos will be a growing priority that may be made more difficult by SaaS and other trends
- System initiatives will likely impact collection and sourcing of data
Big Ideas (3-5 years)
- Personalization: Curriculum change tracking dashboards
- Virtual Campus: Online anywhere
- Virtual guidance counselor: Identify at-risk students
- AI Help Desk: Identify the opportunities to support student success
Campus Connection
- Resource Allocation - enhanced data driven decisions
- Academic Excellence - enhance student support mechanisms
- Educational Equality - strengthen student programming and support equal access to technology and information
- Support Faculty Research
- Tailor learning experience to the individual student need - support graduation and suggest interventions along the way
What is IITS already doing related to Data Analysis?
- Course need reports based on students' needs and faculty designed educational pathways (roadmaps)
- Budget reports
- Graduation retention
Who else might we need to bring into a conversation about Data Analysis?
- Campus community
- Future students
- Business
What may need to be expanded in terms of services, systems, etc. if Data Analysis surfaces as a key area of focus from campus stakeholders?
- Quality data to develop trust
What are our internal assets and challenges to meet Data Analysis needs, if adopted?
- Budget
- Training
- Staff
- Awareness
- Assessment of Campus climate of using data
What are people asking for? What issues are IITS aware of?
- Gathering external data
- K-12 data
- Business needs
- Income
- Student needs