All you need to stay up-to-date on AI, data, analytics, solutions, and industry trends
If you ask Institutional Research (IR) or higher education analytics teams how they spend their time, the answer is often the same, just phrased differently: This isn’t a skills problem. It’s not a motivation problem. And it’s certainly not because higher education lacks data. It’s a Data Wrangling problem. The
Welcome to the finale of our Fusion Platform blog series. In Part 1, we built the pipelines with Data Flows. In Part 2, we centralized and organized that information into the Data Lake using our preset higher education models. Now, we arrive at the moment where all that infrastructure pays
In Part 1 of our Fusion Platform series, we discussed Data Flows—the critical pipelines that automate the extraction of data from your Student Information System (SIS), Learning Management System (LMS), and other campus sources. But once that data is flowing, where does it go? It needs a destination that is
Management For years, we at Datatelligent have been dedicated to building a platform that truly solves the complex data challenges facing higher education. We’re thrilled to introduce a new blog series that will walk you through each component of our powerful Fusion Platform. We begin with the foundational first step,
If you’ve visited datatelligent.ai recently, you might have noticed things look a little different. And you’re right! We’re thrilled to officially unveil our complete rebrand, complete with a new homepage, streamlined menus, and a refocused services page. This isn’t just a new coat of paint. This rebrand represents a major
In the world of higher education IT, few announcements cause as much collective anxiety as a software end-of-life notice. It’s a familiar story for many institutions: a core piece of your software infrastructure, something your teams have used for years, is being deprecated. This isn’t a new problem. Many of
Send us a note and we will get back to you.
If you ask Institutional Research (IR) or higher education analytics teams how they spend their time, the answer is often the same, just phrased differently:
