Who Should Attend?
The focus of this course is about creating frameworks that enable creativity, innovative thinking, and evidence-based decision-making. Managers who want to improve their effectiveness and profitability within their organizations, and who aspire to make evidence-based managerial decisions, regardless of their quantitative experience, will benefit from this program, including:
- General managers looking to enhance their skillset with state-of-the-art analytics skills
- Executives interested in incorporating an evidence-based approach to managerial decision-making processes in their organizations
- Strategy/business development executives
- Senior managers throughout an organization making decisions that impact the overall strategy of their function
Note: This program is designed to meet the needs of managers rather than analysts looking to expand their technical skills. The program will discuss a variety of analytic methodologies, going into depth about the techniques and methodologies, but only to the level that non-technical managers need to understand; when to request specific analyses; and key questions to ask to ensure sound analyses that will lead to evidence-based decisions.
More about this program
Increase Effectiveness with Data-Driven Decisions
As the amount of data available to your organization continues to grow exponentially, and as the computational capabilities advance, you will be required to find ways to employ these valuable resources to improve the performance of your group or organization, and to ensure your managerial skills are up-to-date.
This program will introduce you to quantitative decision-making frameworks, and to analytic tools and approaches, as well as illustrate best practices across businesses and industries. You’ll be empowered to incorporate data-driven decision making in your professional role and across your team or organization.
Topics
Selected topics covered during the intensive three-day program include:
Machine Learning and Data Analytics
- Data-Centric Approach to Business
- Predictive Modeling for Decision Making
- Causal Modeling and Measuring Impact
- Artificial Intelligence and Deployment of Solutions in Business
Decision Modeling and Computation
- Dynamic Decision Making under Uncertainty
- Algorithmic Decision Making
- Risk Analysis and Mitigation
- Contract Design and Negotiation Analysis
Information Management in Interconnected Markets
- Information Aggregation
- Decision-Making Strategies for Large Markets
- Decentralized Information Processing and Decision-making
- Emerging Data/Information Privacy and Security Issues
Program Objectives
At the conclusion of this program, you will be able to:
- Know the basics of analytics literacy for modern managers
- Understand the principles of core and state-of-the-art analytics models, when to use each, and how to best communicate their impact on your recommendations and decisions
- Structure complex business problems in order to leverage analytics when reaching a sound decision
- Develop innovative frameworks for leveraging data and information to maximize the impact of analytics techniques on the quality of your decision-making and ultimately on your business
- Become current with the way analytics are used in business, whether by one of the most valuable companies in the world (e.g., Apple, Amazon, Facebook, Google, Microsoft), where analytics is at the core of their business model, or by one of many startups
Most importantly, you will have the ability to observe your team’s work or your business’s performance from a data-centric viewpoint. You will be equipped to assess where there are opportunities in your processes, strategies, incentive systems, and marketplace tactics to improve efficiencies, redirect resources, or compete more effectively, and make the decisions to implement strategies designed to address those opportunities.
Get set for three days of fast-paced, stimulating, and challenging exercises, group discussions, lectures, and case studies. You’ll gain substantial insights into how to leverage data analytics in your everyday role in your organization. You'll also enhance your ability as a manager to use data to navigate uncertainty, which will be extremely valuable to your organization and its stakeholders.
Sample Schedule
Arrival
Check-in
1:00 PM - 2:00 PM
Data-Centric Approach to Business
2:00 PM - 4:00 PM
Predictive Modeling for Decision-making
4:00 PM - 6:00 PM
Dinner
6:00 PM - 8:00 PM
Day 1
Breakfast
7:00 AM - 8:30 AM
Causal Modeling and Measuring Impact
8:30 AM - 10:30 AM
Artificial Intelligence and Deployment of Solutions in Business
10:30 AM - 12:30 PM
Lunch
12:30 PM - 1:30 PM
Dynamic Decision Making Under Uncertainty
1:30 PM - 3:30 PM
Algorithmic Decision Making
3:30 PM - 5:30 PM
Optional Campus Tour
5:30 PM - 7:00 PM
Dinner
6:00 PM - 8:00 PM
Day 2
Breakfast
7:00 AM - 8:30 AM
Risk Analysis and Mitigation
8:30 AM - 10:30 AM
Contract Design and Negotiation Analysis
10:30 AM - 12:30 PM
Lunch
12:30 PM - 1:30 PM
Information Aggregation
1:30 PM - 3:30 PM
Decision-Making Strategies for Large Markets
3:30 PM - 5:30 PM
Dinner
6:00 PM - 8:00 PM
Day 3
Breakfast
7:00 AM - 8:30 AM
Decentralized Information Processing and Decision Making
8:30 AM - 10:30 AM
Emerging Data/Information Privacy and Security Issues
10:30 AM - 12:30 PM
Lunch
12:30 PM - 1:30 PM