I think you’ll agree that it’s an understatement to say we have seen considerable technological changes over the last 30 years. The internet, the rise of innovative technology, and the emergence of enterprise reporting systems have swept across the world. Yet, we are...
Many people are aware of business intelligence (BI) products and how companies can use them to improve productivity to better understand the data behind their operations. However, not everyone realizes the powerful case for using business intelligence in higher...
As is the case with most any organization, the most important operational contributor to a higher education institution is its people – its human resources. These people are its value-building machine. But they also make up a large portion of its operating costs....
In the age of Big Data and Analytics, we find ourselves surrounded by data. While most of the data might reside in our Enterprise Resource Planning (ERP) system, it’s likely that there are several other ancillary data sources available to us. These sources may be...
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...
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...
The IPEDS submission process is typically not a smooth one. From accessing to collecting to validating to formatting IPEDS data, there are numerous stages where mistakes can – and often do – occur. We’ve assembled a list of some of the most common mistakes made during...
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...
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...