Steps To Higher Education Data Cleanliness: A Technical Perspective
Introduction As data is collected daily through the heavy use of computers and the internet, we continue to be plagued by the problem of dirty data. Data that is error prone or inconsistent leads to bad outcomes, such as misguided decision making (e.g. inaccurate...
How to Pull Data From the Cloud: Things to Consider in Higher Education
More and more applications (software) are residing in the cloud. In the past, these applications were often viewed as black boxes. This means the end user sees an interface but has little insight into the processing that goes on within them. But that approach has been...
IPEDS Surveys: What Does the Process Cost?
So far, we’ve taken a look at the top mistakes made during IPEDS submission and some steps you can take to reduce bad data entry during that process. But once that process is done, that’s it. Right? You’ve crossed the finish line. You’ve slain the beast! The job is...
IPEDS Data Entry: How to Reduce Basic Data Errors
Question: How many times have you, when reviewing IPEDS data, found basic data entry errors? Better question: How many times have you missed such errors prior to submission? The issues around data entry errors in IPEDS surveys are very real and addressing them isn’t...