There is a wide diversity of tools used at UW-Madison when it comes to accessing, using, and sharing data.
Choosing the right tools and support starts with addressing what problem you are trying to solve.
Everyday data needs
Accessing university tools and available data for insights or decision making.
Examples: InfoAccess, SIS, Canvas, WISPER, Lumen
Using custom applications or integration code to allow systems to exchange data.
Examples: Informatica, API Store, Grouper
Everyday data tools
Where to get started when you use university tools or commonly available data sets to gain deeper insights or support decision making.
- Getting access to data including academic, student, human resources, financial, and budget
- Querying institutional data sources
- Analyze and interpreting
- Reporting results
Data integration tools
This may involve using custom applications or integration code to allow systems to exchange data, seek to deploy or enhance IT systems to support and streamline business processes.
- Consume or publish an API (Application Programming Interface)
- Connecting third party tools to institutional data
- Syncing a database to a third-party cloud service
- Provisioning and deprovisioning
- Creating and managing groups
- User account management
- Giving users access to data
- Getting systems to interact with each other
Analytics and reporting tools
This may involve dashboards or reports, building data sets, or supporting complex analysis.
- Getting access to data
- Viewing data dashboards and visualizations of existing institutional data
- Creating data visualizations
Common tools used
Tableau, Repository for Administrative Dashboards and Reports (RADAR), Badger Analytics/InfoAccess, SAS
Talk to an expert to get answers, guidance, and advice for your specific question.