Article Archives

Data collection occurs across a higher education institution, with each department collecting data for different purposes. The process leaves higher education leaders with an overwhelming amount of data that does not speak directly to institutional missions. In fact, inefficient data processes can limit institutional growth. Data silos, poor data flow, and a lack of visualization

In the midst of fierce competition amongst higher education institutions and uncertainty caused by the pandemic, making good use of advanced analytics tools is more important than ever. Robust analytics based on an accurate, scalable and intelligent framework can help colleges and universities make precise enrollment predictions, better manage their resources, boost revenues, and more.

Leaders in higher education have an increased desire to harness data to make strategic and cost-effective decisions. With rising pressure to close equity gaps and improve student-success metrics, institutions have shifted over the past decade to leveraging predictive analytics. Done well, analyzing and utilizing student data can significantly transform the way universities operate, boost student