University Data, Analytics & Institutional Research (UDAIR) - MU Analytics

Your Partner in Data, Analytics, and Insight at the University of Missouri

Explore how UDAIR supports data access, governance, analytics, and decision-making across MU.

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Four UDAIR strands braided into a unified gold knot.
Where Data Comes Together.

About UDAIR

University Data, Analytics and Institutional Research (UDAIR) brings together analytics, institutional research, governance, and data engineering to support the University of Missouri with trusted data, meaningful insights, and consistent standards. Our four units work as a connected team, with each contributing unique expertise to strengthen MU’s data foundation.

We help faculty, staff, analysts, and leaders make informed decisions with clarity and confidence. Whether someone is exploring data for the first time or building advanced analytics, UDAIR provides the guidance and resources needed to use data effectively.

UDAIR is leading MU’s transition to a unified reporting experience in Power BI and is modernizing the university’s data ecosystem with Microsoft Fabric. These efforts simplify the analytics experience, improve data consistency, and create a more accessible and reliable cloud-based environment for all campus users.


What We Do

UDAIR supports the university through four core functional areas, along with a cross-cutting support function that strengthens data literacy and consistency. Together, these teams provide trusted data, meaningful insights, and consistent standards across MU and the UM System.

  • Power BI development and consultation
  • Dashboard design and visualization standards
  • Advanced reporting and analytical insights
  • Technical support for analysts and BI teams
  • Mandated reporting and compliance submissions
  • Academic planning analyses for decision support
  • External data requests and official university reporting
  • Research and insights for institutional leadership
  • Cloud data pipelines and system integrations
  • Lakehouse and warehouse management
  • Semantic layer and data modeling support
  • Reliable, governed, analytics-ready datasets
  • Institutional data policies and standards
  • Data quality and consistency support
  • Glossary and definition management
  • Stewardship guidance and responsible data practices
  • Power BI training, workshops, and user guidance
  • Data literacy development and skill-building resources
  • Visualization and reporting best practices
  • Documentation, templates, and support for campus data users