Who should attend
Students from all educational backgrounds welcome.
About the course
Knowing how to extract real business value from the data generated by your organization is a valuable tool for all managers. Topics may include: foundational information on what is meant by analytics; the various types of analytics — descriptive, predictive and prescriptive; moving from business intelligence to business analytics; theories and trends in data analytics; and the latest best practices and tools available in business analytics, including their advantages and disadvantages.
Course at a glance
- Be in the loop: big data analytics was identified in the World Economic Forum’s Future of Jobs report as the top technology adoption trend for organizations in North America.
- Course aimed at mid-level management who are developing and implementing new business analytics projects within their organization.
- In-class, face-to-face delivery, lecture and discussion-based course.
What you will learn
By the end of this course, you should be able to:
- Describe the features and benefits of an analytics program.
- Recognize analytics management trends.
- Identify key stakeholders and roles that should be part of your program.
- Develop a plan to build an analytics program to support your organization.
- Identify strategies for maintaining an effective analytics program.
- Describe questions answered by analytics.
- Distinguish decision-making, environmental and organizational analytics trends.
- Recognize attributes of Analytics 3.0.
- Distinguish stages of the roadmap of analytical progress.
- Recognize types of barriers of an analytics program.
- Discuss challenges to building a data sciences team.
- Identify factors affecting analytics program success.
- Describe progression points for analytics success factors.
- Describe considerations for defining and communicating value.
- Discuss the role of the analytics program owner.
- Recognize the steps for managing the analytics model life cycle.
- Describe the importance and approaches to deliver the measurement framework.
- All reading materials will be available through eClass, the University of Alberta’s eLearning management tool.
- Students will prepare and submit an analytics case study utilizing techniques learned in class (80% of final mark). Participation and active learning will be make up 20% of the final mark.
David has been an associate with Performance Group since 2011. He is an accomplished program and project manager with key strengths in organizational alignment, operations and performance planning and management and quality improvement. He has extensive experience with core services reviews, orga...
Videos and materials
Read more about Business Analytics
Because of COVID-19, many providers are cancelling or postponing in-person programs or providing online participation options.
We are happy to help you find a suitable online alternative.