About Steven
Educator, builder, and translator of complex ideas.
I teach Information Systems and Analytics and build practical learning experiences that help people turn data, technology, and AI into responsible decisions.
Steven Bryan, MBA · Information Systems & Analytics
Professional profile
Helping learners connect technology to business judgment.
I am an instructor of Information Systems and Analytics at Utah Tech University. My work sits where business, data, technology, and learning meet. I am especially interested in helping beginners enter analytics without being overwhelmed and helping developing analysts move beyond completing technical tasks toward explaining evidence and guiding decisions.
Analytics tools matter, but tools are only useful when they help someone understand a situation, make a choice, or improve an outcome. That is why my teaching combines software practice with problem framing, communication, ethics, verification, and reflection.
This site brings together my courses, frameworks, research, and experiments in AI-era analytics education. It is both a professional record and a working resource for students, educators, and practitioners.
- InstitutionUtah Tech University
- CollegeCollege of Business
- ProgramInformation Systems & Analytics
- EducationMaster of Business Administration
- FocusBusiness analytics, information systems, data visualization, databases, business intelligence, and responsible AI
Teaching philosophy
Clarity builds confidence. Practice builds capability.
Students should understand why a task matters, see what good work looks like, practice with support, and know how to check their own result.
Make the path visible
Beginners learn more confidently when they can see the full workflow, examine a completed example, and focus on one manageable step at a time.
Bridge theory and practice
Concepts become useful when students apply them to realistic datasets, business requests, constraints, and decisions.
Teach judgment with the tool
Students need Excel, SQL, Tableau, and AI experience, but they also need to know when the output is incomplete, misleading, or unsupported.
Use AI responsibly
AI can explain, draft, compare, and critique. Students remain responsible for checking the data, logic, sources, assumptions, and consequences.
Create career-ready evidence
Assignments should produce something students can discuss: a workbook, query, dashboard, memo, presentation, or portfolio supported by a visible process.
Support curiosity and revision
A strong classroom makes questions safe, feedback usable, and improvement expected. Rigor does not require unnecessary confusion.
What this looks like in practice
Students work through a decision, not a disconnected set of features.
| Learning move | Example | What the student learns |
|---|---|---|
| Start with a business request | Should SUMMIT+ invest $8 million in an expansion? | How to clarify the audience, decision, constraints, and evidence before choosing a tool. |
| Work with real-looking data | Clean sales records, query related tables, and compare regions and products. | How messy details affect the reliability of an answer. |
| Use several tools for different jobs | Excel for exploration, SQL for retrieval, Tableau for explanation, and AI for support. | Why a software stack works better than forcing every task into one application. |
| Explain and defend the result | Write an Executive Decision Memo and answer questions in a Board Simulation. | How evidence, uncertainty, tradeoffs, and recommendations fit together. |
Current focus
AI-era analytics education.
I am exploring how introductory analytics courses should change when AI can generate formulas, queries, charts, and first drafts. My current work emphasizes problem architecture, verification, human judgment, ethical use, transparent evidence, and professional communication.
Related projects include SPARK + TRACE, the Practical Analyst Playbook, research on the analyst's shift from technician to strategist, and practical curriculum for Excel, SQL, Tableau, dashboards, and decision support.
Institutional links
Utah Tech University resources.
For official program, college, and degree information, use the links below. This website is Steven Bryan's personal professional site and is not an official Utah Tech University publication.
Contact Steven
For teaching and professional inquiries, email Steven.Bryan@utahtech.edu. For current university office and phone details, use the official ISA faculty directory.