University Analytics

We support the success of the university mission and institutional growth by providing data solutions for business and academic use, ongoing quality training for informed decisionmaking, and policy inputs for using data ethically

Objective

Strategy

KPI’s

CSUSB
Strategic
Plan

Trustee
Initiatives (TI)

1. Work across the institution to provide comprehensive data solutions for all university units. Strengthen and increase online support for campus-wide integration of instructional technologies. 1.1 Create a data warehouse unit that allows one-point access for various data needs 1.1.1 Consolidate and minimize the number of systems/applications used for conducting university operations. Goal 1, Objective 2, 5, 6 TI 5, 6
    1.1.2 Increase linkages between university databases. Goal 1, Objective 2, 5, 6 TI 5, 6
2. Provide trustworthy business, academic, and learning analytics. 2.1 Establish guidelines for data standardization to ensure data consistency across the campus community. 2.1.1 Increase operational efficiencies by 15% over the next 5 years. Goal 1, Objective 2, 5, 6 TI 6
  2.2 Create data driven models for predicting university, program and student outcomes 2.2.1 Create more efficient course offerings using predictive analysis and decrease the time it takes to graduate by 10% over the next 5 years. Goal 1, Objective 2, 5, 6 TI 6
  2.3 Create data driven models for improving operational efficiencies. 2.3.1 Increase operational efficiencies by 15% over the next 5 years. Goal 1, Objective 2, 5, 6 TI 6
  2.4 Increase accountability for data quality within units. 2.4.1 Increase accountability for data quality within units. Goal 1, Objective 2, 5, 6 TI 6
3. Provide quality workshops for all university community members in using data-driven models. 3.1 Provide centralized, university-wide benchmark training in institutional data access and use. 3.1.1 Organize at least 3 annual workshops in conjunction with the Institutional Data Team about the use of data models for teaching, advising and curriculum re-design. Goal 3, Objective 2, and Goal 2 Objective 5 T 5, 6
  3.2 Promote and improve data literacy among institutional end users. 3.2.1 Create common data element dictionaries and business process guides for the use of the data models. Goal 3, Objective 2, and Goal 2 Objective 5 T 6
    3.2.2 Increase opportunities for students to intern in offices that are specifically using data analytics. Goal 2, Objective 4 TI 4, 6
4. Promote state-of-the art best practices for responsible data use. 4.1 Identify data stewards within existing units. 4.1.1 Establish a process of collaboration on policy issues with Faculty committees, ATDL (Senate). Goal 1, Objective 2, 5, 6 TI 4, 6
  4.2 Coordinate with Academic Technologies and Distributed Learning Committee of the Faculty Senate, Teaching Resource Center, Academic Technologies and Innovation and other stakeholders to provide policy inputs in the ethical use of data. 4.2.1 Develop and deploy training modules on higher level data (level 1) access and ethical use. Goal 1, Objective 2, 5, 6 TI 6