Institutional Analytics
What is Institutional Analytics?
Institutional Analytics is the development and delivery of reports, dashboards, models, and other analytical content suitable for university business and administrative use. The purpose of Institutional Analytics is to inform and improve university planning, management, decision making, and accountability. It includes descriptive (what happened?), diagnostic (why did it happen?), predictive (what will happen?), and prescriptive (how can it be made to happen?) analytics.
Goals and Objectives
- Leverage analytics tools and techniques to provide accurate, timely, and relevant information useful for university planning, management, decision making, and accountability;
- Increase understandability and usage of analytics resources across the university by presenting data and insights in a clear and understandable manner, utilizing visualizations, dashboards, and reports to facilitate comprehension and effective communication of information;
- Enable the monitoring and measurement of performance against established metrics to provide insights into performance, identifying areas of improvement, and facilitating continuous improvement; and
- Establish and maintain consistent analytics standards and processes to define the level, quality, reliability, and value of analytics resources.
Who provides analytics content?
A number of offices generate reports, dashboards, and other analytical content. Primary responsibility for Institutional Analytics lies with University Data and Analytics, which provides analytics that are cross-domain (e.g. combining student and HR data), external in substance or audience, or at the request of Executive Officers. Other central business units (e.g. Enrollment Management and Services, HR Information Management and Analytics) typically provide analytics limited to their own specific data domain, and have primary responsibility for providing transactional and record-level information.