Queen's Strategic Analytics Program

Creating Competitive Advantage Through Analytics

Queen's Strategic Analytics Program will show you how to gain competitive advantage by deploying analytics in new and powerful ways. You will enhance your ability to to identify and track evolving challenges and make measured responses to them. The Program will provide hands-on experience with concepts, tools and techniques that can help your organization effectively implement strategic objectives at all levels.

Location	Date
Toronto	Jan 13 to Jan 14, 2010

Fees

$1950 (plus GST)

The program will enable you to:

• Identify the right opportunities for analytical decision-making
• Collect the right data to guide decision-making
• Extract critical information from complex data sources
• Create an organizational culture that embraces analytics and fact-based decision making

Who attends?

This program is designed for managers and executives who are looking for new ways to understand their markets, drive analytical decision-making at all levels, increase organizational agility, and gain competitive advantage.

The program will be of interest to decision-makers and analysts from a variety of backgrounds including:

• Marketing and Sales managers
• Senior Operations managers
• Senior transportation and logistics managers
• Accounting and financial services managers and analysts
• Web analytics specialists
• Senior IT managers

Personal Benefits

The Program will provide concepts and tools to enable you to make more informed, fact-based management decisions.

• Make more informed management decisions
• Learn new approaches to analytics
• Increase your management effectiveness and departmental performance
• Network with a group of experienced managers from both the private and public sector

Organizational Benefits

Improve decision-making processes within your department or across the organization leading to increased effectiveness and reduced risk.

• Foster consistency in decision-making
• Provide common frameworks for key decisions
• Enable agile responses to rapidly changing marketing, service or operational challenges
• Understand and manage risk more effectively
• Explore scenario planning through simulation before committing resources

Program structure and content

Topics

The Program is built on four themes

Recognizing Opportunities

Identifying the right opportunities for analytical decision support.

• Understanding when and how to use analytical approaches
• Knowing what tools and skills your organization needs
• Reviewing examples of success in service businesses, manufacturing, financial services and public service

Getting the Right Data and Getting the Data Right

Ensuring that you have the right data for the job.

• Working with information systems
• Surveys, sampling and data-mining
• Correcting data “censorship”
• Choosing levels of aggregation and assessing likelihoods

Tools and Techniques

How to get the most value from the data you collect.

• Extracting critical information from complex data sources
• Visualizing relationships among key decision factors
• Identifying and testing quantitative connections
• Structuring decision processes in uncertain times

Making It Happen

Putting an analytical approach into action while avoiding “analysis paralysis”.

• Creating an organizational culture for analytical methods
• Systems and technology requirements
• When to use specialists and consultants and when to do it yourself
• Risk and rewards

Session Leaders

Dr. Jeff McGill - Distinguished Professor of Management Science and Operations Management, Queen's School of Business

Jeff McGill is an experienced researcher, teacher, and practitioner in management science and is former Program Director of the Queen's Full Time MBA. Jeff's interests are in pricing and revenue management, particularly in the transportation industry, and in statistical methods for improving management decisions. He has over eight years of full-time industrial experience in product development and operations research and has consulted widely for public and private organizations in the areas of optimal pricing and data analysis.

Dr. Yuri Levin - Associate Professor & Distinguished Faculty Fellow in Operations Management, Queen's School of Business

Yuri Levin is a recognized researcher and teacher of business modeling courses in Queen's Bachelor of Commerce, MBA, and MS/PhD programs. He has developed innovative approaches and has been published widely in the general areas of revenue management, dynamic pricing, and machine learning applications. Yuri was the 2006 winner of the Queen's School of Business New Researcher Achievement Award. Yuri has consulted widely in currency exchange investments and on modeling and optimization of pricing.