Case Study: Kansas State University achieves unified, self-service analytics with Microsoft Power BI

Kansas State sets sights on top 50 distinction with an enterprise data analytics platform

Kansas State University, a large public research institution aiming to reach a top‑50 ranking by 2025, grappled with fragmented administrative systems that produced inconsistent, outdated, and insecure reporting while operating on a limited budget and staff. To unify data, improve report quality and timeliness, and enable data-driven decision making, K‑State adopted Microsoft Power BI along with Azure SQL Data Warehouse and SQL Server 2016 as its enterprise analytics platform.

Using Microsoft Power BI in a phased enterprise data‑warehouse rollout, the K‑State Analytics team delivered self‑service dashboards, standardized definitions, and automated data processing so departments can run relational reports without analytics experts. The solution cut data‑cleaning and survey reporting from weeks to hours, eliminated long report wait times, improved report integrity and timeliness, and created a scalable foundation to add more subject areas as the university advances toward its 2025 goal.

Kansas State University​

Miriam Clark

Business Intelligence Expert