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Teaching Data Analytics in Business: Tools, Trends, and Transformation

Integrating Analytics into Business Education for Real-World Impact

  • Higher Education
  • Event
  • On-demand
  • SIMnet
  • Management Information Systems
  • Finance
  • Business Analytics
  • 50 Minutes
  • On-Demand Video

Description

Listen to a dynamic webinar featuring Casey Wilhelm from the University of Idaho and Brian Larson, CEO of Superior Consulting Services—both respected McGraw Hill authors. This session dives into how data analytics is reshaping business education, offering actionable strategies and classroom-ready tools to help instructors integrate analytics into their curriculum. Discover emerging trends, practical applications, and ways to prepare students for success in a data-driven business world.

About Your Speaker

  • Casey Wilhelm -

    Casey Wilhelm

    Casey Wilhelm teaches Management Information Systems (MIS) and a variety of courses in the BBA and MBA programs at the University of Idaho. His research interests are adult learning, instructional design in digital environments, and cognitive information processing. Casey has various degrees including an MBA, MIT, MS in Adult and Organizational Learning and a MEd in Instructional Design and Technology. Before working in higher education, he held management positions in the insurance and wine/hospitality industry.

  • Brian Larson -

    Brian Larson

    Brian Larson is Chief Creative Officer and partner at Superior Consulting Services, where he leads storytelling around the firm’s technology solutions and client success. With over three decades of experience in data analytics and custom database applications, Brian was part of the original development team for SQL Server Reporting Services at Microsoft. A nationally recognized speaker, he has delivered more than 70 sessions at major conferences including PASS Summit and the Microsoft BI Conference. Brian is also a long-time author for McGraw Hill, with publications such as Data Analysis with Microsoft Power BI and Delivering Business Intelligence with Microsoft SQL Server 2016.