Tackling the Data Quality Challenge

Common data quality challenges higher ed faces—and a sample action plan

Learn more about the most common data challenges higher ed institutions are facing and four key principles to guide data quality initiatives at any institution.

Data quality study

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.

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