Democratizing Data: Transforming SIS Reporting with Natural Language AI

Wednesday, September 30, 2026 | 4:30PM–5:30PM MT
Session Type: Poster Session
Delivery Format: Poster Session
What if every department on campus could access the data they need, without submitting a ticket, waiting for IT, or learning SQL? In this session, discover how Natural Language-to-SQL AI is transforming reporting across the Student Information System (SIS) and accelerating institutional insights. The solution, designed specifically for nontechnical staff, empowers users to ask complex questions in plain English—such as enrollment trends, financial summaries, retention metrics, or program performance—and instantly receive accurate, permission-based reports. Attendees will learn how AI securely translates natural language into optimized SQL queries across a complex SIS database, eliminating reporting bottlenecks while maintaining data governance and role-based security. The result: faster insights, reduced IT dependency, and a more data-informed campus culture. Join us to explore real-world use cases across admissions, finance, student success, and academic affairs. Learn how institutions are accelerating decision-making by putting powerful analytics directly into the hands of those who need it most.

Presenters

  • Neal Dyer

    Chief Technology Officer, Southeastern University
  • Chris Morgan

    AVP Innovation, Jenzabar