EXMGT 5447 - Business Analytics for Managers

Course Description

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.

Who Should Take This Course?

Course aimed at mid-level management who are developing and implementing new business analytics projects within their organization.

Learner Outcomes

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.

Notes

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. Online lecture and discussion-based course. 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.

Applies Towards the Following Programs

• Business Analysis Certificate : Elective Courses
• Management Development Certificate : Elective Courses