Research Report
Tackling the Data Quality Challenge
Common data quality challenges higher ed faces—and a sample action plan
Log in to read the report, or learn more about IT Strategy Advisory Services.
Colleges and universities face daunting data quality hurdles.
Data needs across campus are soaring, yet uncollected, inconsistent, and impossible to aggregate data silos are impairing decision-making and ultimately preventing institutions from progressing toward their strategic goals.
Our brief explores the most common data challenges that higher education faces and four key principles to guide data quality initiatives at any institution:
- Identifying who needs to participate in discussions
- Defining key terms consistently
- Standardizing the data quality process
- Establishing processes for sustainable quality
This resource requires EAB partnership access to view.
Access the research report
Learn how you can get access to this resource as well as hands-on support from our experts through IT Strategy Advisory Services.
Learn More