- Understand what analytics is, how it is applied across diverse industries, and how it can be applied to your own organization
- Learn how analytics can generate new business insights and opportunities
- See how analytics can mitigate risk, uncertainty and process variability
- Identify challenges in developing analytics strategies
- Experience how spreadsheet models can help solve challenging decisions
- How analytics is transforming organizational decision making and innovation, pitfalls and payoffs for business
- Descriptive analytics: understanding what data to collect and what it is telling you, data visualization techniques to envision important factors and relationships, quantifying your data, data variability, dealing with limited data
- Predictive analytics: foreseeing what is likely to occur based on what has happened in the past, mining your data to predict customer demand and preferences, strategies and tactics for deploying predictive analytics initiatives
- Prescriptive analytics: understanding your data to make better decisions, “what if” scenario analysis, minimizing pitfalls such as process variability and the “flaw of averages”, outcome optimization
- Best-in-practice analytics methods: analytics best practices, implementation challenges, getting started with analytics methods that can be applied to your organization
You will gain hands-on experience with the real-world capabilities of business analytics using easy-to-apply Excel examples.
Dr. Steven Shechter
Steven is an Associate Professor at the Sauder School of Business. His expertise involves applying data-driven, advanced analytical techniques to improve managerial decision making. He was recently awarded a Career Investigator Award from BC’s Michael Smith Foundation for Health Research for his work on applying analytics to the health care industry. He also has work experience applying analytics to the airline industry.
Dr. Tim Huh
Tim is a Professor at the Sauder School of Business, where his interests include operations management, inventory control, supply chain management and dynamic pricing. He has worked with semiconductor companies on capacity expansion and configuration, when the technology and demand for products were subject to high uncertainty. He has also worked with health care organizations, insurance companies and manufacturing facilities in Canada and the U.S.
This introductory level course is ideal for middle and upper managers, analysts, project leaders and others who would like to gain an overview of the concepts and capabilities of business analytics.
"This program was exactly what I needed, working in middle management. It provided me with an opportunity to reflect on our business and how to improve it."
Manager, Client Services