McGill Analytics Leadership Program
Create competitive advantage through business data
Decision-making through smart managerial practices is not enough in today’s data-driven workplace. As companies gain the ability to measure more and more details of their business, leaders must learn how to think and drive performance in a new era of data analytics, competitive intelligence and value creation impacting every function of the business.
This new four-day program has been created specifically for senior-level managers with a strategic role looking for a next generation leadership development experience. The program looks at leadership through the lens of big data and business intelligence to help people more confidently solve problems, manage risks and create competitive advantage for their organizations.
Throughout the program, participants apply a strategic framework to real-life business issues that they bring to the program. Starting with a one-on-one pre-program coaching session to determine a business challenge, participants will learn what metrics should be tracked, how data should be managed, what analytic tools can be leveraged, and what processes turn data into value-creating business transformation. Participants will benefit from experienced advice from a quality faculty team and peers on the program to increase relevance and impact of their leadership agenda back in the workplace.
Key Benefits & Takeaways
- Create value and impact by working on your own real life business challenges
- Gain the strategic perspective to capitalize on data
- Enhance the rigor and quality of your organization’s decision-making capability
- Use big data and analytics to improve your strategy and execution
- Use big data analytics to improve or develop new offerings, processes and better target customers
- Revolutionize your business model to use real-time feedback and intelligence
- Maximize relevancy through a unique blend of learning and personalized coaching
This program is designed for senior-level managers, in both B-to-C and B-to-B organizations, who are looking to improve business and create value through evidence based decision-making. Specific participant profiles include managers that are responsible for marketing, operations, finance, human resources, customer service, data science and strategy as well as those with job titles that include CEO, CMO, CTO, COO and Digital Officers. Those who are new to business analytics will also benefit from this program.
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
- One-on-One coaching
- Expectation Setting
- Identifying Individual Challenges
- Identifying a Business Problem
- Value Creation Insights
- Leveraging Key Processes
- Perspectives on Smart Growth
- What defines a great analytics leader?
- Understanding how big data and business analytics can improve your organization’s value creation
- Winning Examples of how organizations use big data to drive value
- Personal leadership characteristics in a data science world
- Integrating big data to understand customers
- Market Sensing – a strategic business tool
- Competitive out-maneuvering plans
- Identifying significant business challenges or opportunities
- Choosing and integrating the right metrics to indicate performance
- Conceptual Roadmap – insights for the path ahead
- Challenges related to data standardization, reliability, storage, and responsibility
- Choosing the right analytics based on outcomes and value
- Uncovering leading-edge insights through data
- Analytics Tools and cognitive systems to generate insights
- Variety of descriptive, predictive and prescriptive tools
- Possible outcomes for different strategic choices
- Choosing the outcome to maximize Key Performance Metrics (KPM)
- Drawing on tools of design thinking, process improvement and operational management
- Identifying necessary organizational changes to implement data-driven processes
- Putting together a personal Action Plan