The Challenge
Texas A&M University has one of the largest self-service reporting communities in higher education. More than 240 users across colleges and departments have access to run Argos against the university’s data warehouse, and together they have built roughly 40,000 DataBlocks to support their work.
That scale created a new kind of problem. The data was available, but making sense of it was not always simple. Many DataBlocks contain hundreds of columns covering student demographics, programs, courses, and grades. Seeing the patterns in that data, such as how a D in a specific course might delay graduation, required either advanced technical skills or hours of manual work in spreadsheets.
Complex questions like prerequisite planning were especially time-consuming. To determine how many course sections to open for an upcoming term, the reporting team wrote their own queries and subqueries to identify which students had or had not taken required courses, then calculated demand by hand. Double-checking that prerequisites were met and that enough sections were being built for the next semester typically took the department a full week.
As interest in AI grew across campus, the team also saw a risk. Users who wanted AI-driven insights would have to export student data and paste it into outside tools, moving sensitive information beyond the university’s governed environment.
“We have hundreds of columns in these tables, but a lot of people don’t see the correlations. A student making a D here could mean they won’t graduate on time. Otherwise they’d be pulling that data out and pushing it to an AI, and that’s student information we don’t need to be sending out there.”
The Solution
Texas A&M adopted Argos Data Agent alongside Argos X. Argos X extends the power of Argos with a modern, web-based experience for reporting, dashboards, and interactive data exploration, built on the DataBlocks institutions already trust. Argos X removed the need for desktop installs, which had been complicated by campus group policies and left Mac-based departments out. With Data Agent built into the same interface, users could run a DataBlock and start asking questions about the results in one place.
The setup was fast. The team connected their cloud account the same day and expanded the visible fields on their core DataBlocks from roughly 10 to 15 columns to about 160, giving Data Agent a much wider view of each student population. The result was a set of rich, college- and department-level DataBlocks that users can query in plain language.
Access to Data Agent is tied to the university’s existing Argos training program. Before users receive access, they complete a course covering how to:
- Build a DataBlock with the right tables and visible fields
- Add conditions to target a specific student population
- Create reports and dashboards
- Apply filters to refine results
Once trained, users can ask Data Agent to summarize a DataBlock, count students by major or college, or find patterns across thousands of records. Advisors can explore their students’ data directly, while deans and department leaders can get answers without learning SQL or building reports themselves.
Data Agent’s built-in explanations also give the reporting team confidence in the results. Every answer includes the SQL behind it, so the team can review the logic, catch a missing condition, and refine the question.
“When it gives me the SQL statement, I go look at the where clause and see how it got there. It’s nice that it explains how it got to that point, not just here’s the question, here’s the answer.”
The Results
Data Agent has given Texas A&M a faster, safer way to turn its large self-service reporting program into real insight.
- Setup took one day, using existing data warehouse tables and DataBlocks
- 240 users now have access to Data Agent through the university’s training program
- In testing, Data Agent parsed 60 to 80 courses per student across more than 2,000 graduates and returned grade breakdowns in about 15 seconds
- Browser-based access through Argos X opened Argos to Mac users and removed installation barriers
- Built-in SQL explanations let the reporting team validate answers and help users troubleshoot their questions
Instead of requesting a report and waiting for it, campus leaders can now ask questions of trusted, governed data on their own. Because every user works from the same DataBlocks, everyone sees the same information when the data changes.
“Argos has been a game-changer for us! What used to take the department a whole week to double-check, making sure prerequisites are met and that we’re building enough courses for next semester, is now streamlined and stress-free.”
“I don’t expect the president of A&M to be a SQL Developer. But if she had access to this, she could ask how many students are under a 3.0 and get a graph broken down.”
The Future
Texas A&M is focused on growing adoption across its 240 users and expanding access to Data Agent Advanced, which can work across multiple DataBlocks. The reporting team is already exploring how Advanced can link core DataBlocks to investigate why some students take five years instead of four to graduate.
The team also hopes Data Agent will help users find existing resources faster, such as pointing them to example DataBlocks for common needs like student holds. That would free the reporting team to focus on the most complex requests.
By pairing a well-trained self-service community with conversational AI, Texas A&M is making it easier for everyone on campus to turn student data into action.
“Argos has delivered significant value by enabling both power users and non-power users to access and review data simply and efficiently. The Data Agent has streamlined our data review processes, saving valuable time and allowing team members to complete their tasks much faster.”