Take the Data Validation Challenge

Take the Data Validation Challenge

There are multiple ways of assessing where your institution is at regarding data validation and data governance. In this discussion, we’ll look at data validation as it relates to maturity models. The maturity model is an assessment of the data governance program...
10 Key Steps for Building Trust in Your Data

10 Key Steps for Building Trust in Your Data

Higher education institutions need to trust their data so that they can engage in effective decision-making. But building trust is not easy. So, we figured we would provide you our ten steps to build this trust. 1. Data requests should be a conversation Communication...
Data Governance Explained

Data Governance Explained

If you work at a college or university, there may be plenty of topics that generate more attention than “data governance,” but do any of these three ‘progress-stoppers’ ring a bell?  You’re in the Office of Institutional Research. Today, your job is to do some cohort...
Best Practices for Dashboard Design

Best Practices for Dashboard Design

The difference between an art museum and an art gallery is subtle. Museums showcase art for the art enthusiast – for interest, critique or discussion. Museums tend to be grandiose, containing all types of art, separated by theme or artist. While art galleries also...
Best Practices for Charting

Best Practices for Charting

“One Picture is Worth a Thousand Words.” The phrase, often attributed to Fred Barnard after it appeared in the advertising trade journal Printer’s Ink, also applies to the visual presentation of data. While our focus is often on higher education, the above idiom...
Overcoming Data Integration Issues

Overcoming Data Integration Issues

Data. It’s a simple word. Yet collecting it, analyzing it, and understanding it isn’t always so simple. For institutions of higher education, this is usually the result of two circumstances: 1) Data from one source does not always match data from an approved source,...
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