Indiana University (IU) is a multi-campus public university system in the state of Indiana that has a combined student body of more than 110,000 and more than 20,000 faculty and staff. They had recently begun a Decision Support Initiative (DSI), to address current and future business challenges, embrace change, and provide a robust analytics and data architecture.
- Through this initiative, IU wanted to be inventive about analyzing data elements such as student credit hour trends and staffing behavior.
- But IU business logic existed in multiple silos within the IU information system, making it difficult to combine relevant data sets to present meaningful information to stakeholders.
- The longer cycle time for information access, combined with the lack of a robust data security solution, created the need for a centralized business layer.
- IU created a logical data warehouse (LDW) using the Denodo Platform, which facilitated data integration, delivery, presentation, and governance.
- The Denodo Platform serves as the central repository for metadata, security, and business logic.
- The Denodo Platform is also being used for more non-traditional applications, including sourcing data from the cloud, which must be accomplished via APIs.
Supported by the Denodo Platform, the DSI:
- Enables all University schools to gauge and assess fiscal trends and academic unit health, facilitating improved decision-making.
- Helps University Human Resources identify trends in employee metrics and behavior in support of strategic staffing initiatives.
- Simplifies complex system data into useful, self-service decision-support tools.
Download the document to see the full case study and how Denodo data virtualization technology helped this university.
In this video, Dan Young, Chief Data Architect at Indiana University, discusses how they used data virtualization to improve their decision-making across the university.