Academic Analytics is a full-service source for data to help you ask better questions about faculty research activity, facilitate faculty development, analyze research trends among peer universities, and better follow the careers of master’s, doctoral and postdoctoral alumni. These data support strategic investment decisions, benchmarking research activity, reviewing academic units, and developing the university research enterprise.

Higher Education

Research

Academic Analytics

Peter Maglione

John A. Hope

Lisa Dougherty

Zak Buschbach

Steven Donsbach

Rick Suhr

Kathy Schmidtke Felts

Matt Moericke

Stephanie Faulkner

The Software Development and Engineering team at Academic Analytics is responsible for designing, developing, and maintaining innovative software solutions that enhance the analysis and visualization of faculty research data. This team collaborates to create user-friendly applications and tools that empower universities to make data-driven decisions in faculty development and research trends. Their expertise ensures the delivery of high-quality software that meets the evolving needs of academic institutions.

Software Development and Engineering

Leadership Team

Client Engagement

Software Development and Engineering

About

Team members

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Leadership Team

Client Engagement