Data Landscape
The Data Landscape at FGCU illustrates how data flows from core university systems into structured reporting environments. It shows where data originates, how it is organized, and how it is transformed to support accurate, timely, and easy-to-understand information. This process ensures that faculty, staff, and leadership across campus have the insights they need for effective planning, continuous improvement, and informed decision-making.
- Banner - Student, Financial Aid, and Student Accounts Receivable data.
- Slate - Prospect data used for student recruitment.
- Workday - Human Resources, Finance, and Payroll data.
- Wings Up for Student Success - A centralized CRM platform supporting advising, retention, and student success by integrating data from multiple systems.
- Canvas - Learning Management System (LMS) used for academic instruction and course delivery.
- Various SaaS* Applications - Includes platforms like EagleLink, Fusion, Symplicity, and others that support student engagement, campus services, and career development.
* SaaS (Software as a Service) refers to cloud-based applications accessed via the internet, typically managed by external vendors and used without local installation.
- ODS (Operational Data Store) – Provides access to Banner data for daily operational reporting. Refreshed nightly and includes frozen data snapshots for key dates like CENSUS and TERM_END.
- EDW (Enterprise Data Warehouse) – A structured database environment which emphasizes flexibility, scalability, and auditability. It organizes data into a model that supports both historical tracking and integration from multiple systems. The EDW enables users to analyze trends over time using consistent, reliable data from sources like enrollment, registration, and admissions.
- FGCU Datamarts – Custom-built data models that integrate information from Banner, Workday, and other systems to support institutional reporting needs.
- Live Data – Refreshed nightly from source systems. While not real-time, it reflects the most recent update and remains static until the next refresh.
- Frozen Data – A point-in-time copy of data used for official reporting. It does not change and ensures consistency in historical reporting.
- Snapshot Data – Captured on a regular schedule (e.g., weekly or monthly) to support longitudinal analysis and trend reporting.
Operational and Reporting Data: What's the Difference?
What is operational data?
Operational data supports real-time, day-to-day tasks and transactions. It is current, detailed, and used to run core business processes.
What is reporting data?
Reporting data is used to analyze trends and inform decisions over time. It is not real-time - in many cases, it may be 24 hours old or more due to data processing and refresh cycles.
