Analytics for Decision Making
Leveraging data for business value
The ability to use data to effectively drive decisions is an integral part of modern management. In this 2-day seminar, you will learn both the theoretical as well as practical applications of data analytics and how they apply to decision-making. You will deepen your understanding of descriptive, predictive and prescriptive analytics. Next, you will learn how to use that data to develop insights through a series of exercises and case studies. Finally, participants will gain a deeper understanding of how to make data-driven business decisions within their organization. This course will enable you to be an informed and empowered manager of data, you will leave with a toolkit that allows you to make sense of data and how to make decisions using it.
Key Benefits & Takeaways
- Think critically about data
- Differentiate between good and bad data
- Avoiding data collection biases
- When to use descriptive, predictive or prescriptive analytics
- Understand different applications of business analytics across industries and sectors
- Identify opportunities for creating value using business analytics
- Properly structure data for your organization
This seminar is for managers who want to effectively translate data analytics into business value, but do not necessarily have the technical expertise to do the analytics themselves.
The registration fee includes facilitation by our highly-rated faculty members, a comprehensive workbook, results-oriented exercises, seminar supplies, meal service (breakfast, lunch and breaks) and a certificate of completion from the McGill Executive Institute.
Topics covered during the program
- What is the role of data in decision making
- Discuss different frameworks to support decision-making in organizations
- Understand the perceived value of data
- 4 V’s of data: volume, velocity, variety and veracity
What is good data and how do you structure it
- What problems can AI help solve for your business?
- Impact on your operations, processes, employees, customers, and offerings
- Forecasting, sourcing, optimizing, automating, and enhancing user experiences
- When is the right time to bring in AI?
- Key elements of successful AI transformations
- AI readiness: changes to your processes, capabilities and culture
- Maximizing positive impact and mitigating risk of failure
- Building AI capacity – tools, consultants, internal teams
- Project scoping and infrastructure
Bringing AI Into Your Organization
AI Execution: Your Business Case for Success
This program has been approved for 13 CPD hours under Section A of the Continuing Professional Development (CPD) Log of the Human Resource Professionals Association (HRPA).