Data Analytics and Technology to Improve Decisions

Businesses face technological and global shifts in regulation, technology, and customer expectations, requiring professionals to evolve and adapt in order to compete. The ‘digitization’ of business has radically transformed entire industries and spawned new ones, with breathtaking speed and complexity.

New technology often enables exponentially more information, presenting significant new opportunities as well as challenges to your organization. To harness the value of new information, you’ll need to understand how to leverage it in important ways:

  • How do you structure a massive quantity of data to use as a predictive tool?
  • How can you use analytics to address high-level strategic decisions such as market design or strategy in a networked economy?
  • How should trends in your business environment influence your decision to expand or downsize your business?
  • How much capacity should a service organization plan for a change in business practice?

This program will present state-of-the-art data and analytics methodologies and approaches to handle such managerial decision-making challenges.

Sasa Pekec on the broad application and up-to-date learning in Data-Driven Decision Making

Who Should Attend?

Professionals who use data analytics, business modeling, and statistics will find techniques and tools in this program to operate with confidence when faced with complex decisions. Those creating a structure within their organization that enables creativity, innovative thinking, and sound decision-making will gain insights to optimize their design. Managers who want to optimize effectiveness and profitability within their organizations, and those making marketing or product decision with data, regardless of their quantitative experience, will benefit from this program, including:

  • Executives building and launching analytics and data science teams
  • Strategy/business development executives
  • Digital/Information Technology professionals
  • R & D and innovation leaders
  • Senior managers in marketing, information technology, human resources, talent management, operations.

More about this program

Increase Your Competitive Position with Data

Pivotal business decisions often involve multiple players, potentially conflicting objectives, and emerging market factors that drive long-term changes in business environments. Many organizations do not have structures in place to pool data much less leverage it well. To make reliable strategic decisions, you’ll need to develop a deep understanding of how to interpret data in light of external forces. This program will approach challenges in a systematic way, and will help you become empowered and more confident with the process of making both short and long-term data-driven decisions.

Discussion Topics


  • Introduction to Data Analytics
  • Predictive analytics
  • Basics of machine learning and reinforcement learning
  • Data visualization


  • Decision making under uncertainty
  • Dynamic decision making
  • Optimization approaches for complex decisions
  • Risk management


  • Strategies for data driven decision making
  • Networked economy
  • Market design
  • Data driven negotiation analysis

Program Objectives

At the conclusion of this program, you will be able to:

  • Identify how and what data can be used to directly impact business decisions
  • Use the analytical skills needed to harness the power and potential of data and create value
  • Understand state-of-the-art analytics models and how to use them best to make and communicate decisions
  • Identify and structure a decision problem, understand its essential features, and come to a sound decision
  • Discover innovative ways of framing problems and structuring data to maximize impact
  • Structure and sequence multiple decisions optimally under uncertainty
  • Use an analytics approach in negotiations and competitive decision-making settings

Most importantly, you will learn to look at your organizations’ data from a fresh and more in-depth perspective and will be able to think ahead of the curve to strengthen your competitive position in the marketplace.


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. From understanding what types of data are available, to creating a framework for your market situation, to getting a handle on uncertainty, you’ll ultimately enhance your contributions to your organization and increase value to your stakeholders.

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Certificate Requirements: Attendance to the Duke Leadership Program and three electives within a three year period. More

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Contact Details

Duke University's Fuqua School of Business
100 Fuqua Drive
Durham, NC 27708-0120 USA
Tel +1.919.660.8011
Toll Free +1.800.372.3932

Office Hours
Monday - Friday
8:30 a.m. - 5:00 p.m.

Program Location and Accommodations

JB Duke Hotel
During your time in Durham, you’ll live and learn in the four-star JB Duke Hotel, a contemporary and tranquil retreat on Duke’s campus with state-of-the-art learning facilities.

Sample Schedule

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1:00 PM - 2:00 PM

Introduction to Data Analytics
2:00 PM - 4:00 PM

Advanced Regression Techniques
4:00 PM - 6:00 PM

6:00 PM - 8:00 PM

Day 1

7:00 AM - 8:30 AM

Predictive Analytics
8:30 AM - 10:30 AM

Data Visualization
10:30 AM - 12:30 PM

12:30 PM - 1:30 PM

Decision Making Under Uncertainty
1:30 PM - 3:30 PM

Real Options Analysis
3:30 PM - 5:30 PM

Optional Campus Tour
5:30 PM - 7:00 PM

6:00 PM - 8:00 PM

Day 2

7:00 AM - 8:30 AM

Optimization Approaches for Complex Decisions
8:30 AM - 10:30 AM

Portfolio Optimization
10:30 AM - 12:30 PM

12:30 PM - 1:30 PM

Data-Driven Negotiation Analysis
1:30 PM - 3:30 PM

Risk Management Strategies
3:30 PM - 5:30 PM

6:00 PM - 8:00 PM

Day 3

7:00 AM - 8:30 AM

Strategic Decisions in a Networked Economy
8:30 AM - 10:30 AM

Market Design 
10:30 AM - 12:30 PM

12:30 PM - 1:30 PM


Professor Alex Belloni

Alexandre Belloni

Alexandre Belloni is a Professor of Decision Sciences at the Fuqua School of Business at Duke University. He received his PhD in Operations Research from MIT (2006) and a M.Sc. in Mathematical Economics from IMPA (2002). Professor Belloni’s current research focuses on developing and analyzing methods for model selection in Econometric problems, and for solving Mechanism Design problems.

His research papers have appeared in journals such as Econometrica, Review of Economic Studies, Annals of Statistics, Marketing Science, Management Science and Operations Research. He received a grant from the National Science Foundation, held visiting appointments in other prestigious institutes, and consulted with the electrical energy industry in Brazil.

Professor Peng Sun

Peng Sun

Peng Sun is a Professor in the Decision Sciences area at Duke’s Fuqua School of Business. He researches mathematical theories and models for resource allocation decisions under uncertainty, market and mechanism design, and incentive issues in dynamic environments. Professor Sun’s work in decision models spans operations management, finance, marketing, health care, and sustainability.

Professor Sun is an Associate Editor at Operations Research, and at Management Science, two leading academic journals of the profession of Operations Research and Management Science. At Fuqua, Professor Sun has taught Decision Models, Strategic Modeling and Business Dynamics in the MBA and various EMBA programs, and PhD course Dynamic Programming and Optimal Control.

Professor Sasa Pekec

Saša Pekeč

Saša Pekeč is an Associate Professor in Decision Sciences at Duke’s Fuqua School of Business. Professor Pekeč’s research is interdisciplinary and revolves around decision-making in complex competitive environments. He has published articles in Management Science and Operations Research, as well as in top academic journals in other fields. His work on combinatorial auctions had been widely cited and had influenced design of a new generation of now standard procurement auction procedures in a variety of industries.

Professor Pekeč’s consulting experience includes banking, internet, pharmaceutical, retail, and telecommunications industries. He serves on the Supervisory Board of Atlantic Grupa, one of the leading FMCG companies in SE Europe. Professor Pekeč was a member of the Council of Economic Advisors to the President of Croatia from 2010 to 2015.

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