Case Study: Texas A&M University achieves self-service governed data exploration with Evisions Argos Data Agent

Texas A&M: Self-Service Data with Argos Data Agent

Texas A&M University, a large public institution, faced a challenge in making sense of its vast and complex student data. With over 240 users running reports through its self-service Argos platform, finding patterns and insights required advanced technical skills or manual spreadsheet work, a process that was both time-consuming and risky as it could lead to the export of sensitive data to outside AI tools. The university partnered with Evisions to implement Argos Data Agent to address this.

The solution from Evisions allowed trained users to ask plain-language questions about their governed data directly within the Argos interface. This provided immediate answers without needing SQL expertise and kept all sensitive student information securely inside the system. The results were significant, with some complex queries that previously took a week to complete now returning answers in about 15 seconds, streamlining processes and empowering deans and advisors to find their own insights without waiting for the reporting team.

Texas A&M University