The rise of the data-driven enterprise

Today’s businesses are being transformed through data sciences and advanced analytics such as artificial intelligence and machine learning. As your organization develops strategies to compete with other information-enabled businesses, your team will need a supportive culture and new capabilities to operate effectively.

Across all industry segments, businesses are transitioning to high-performance, data-driven enterprises. Facing tradeoffs in where and how they operate and compete for customers, businesses are turning to exponentially-growing volumes of data--their own as well as data collected by third parties--to help them understand customer preferences, optimize capital investments, or drive operational efficiencies. Beyond historical reporting, predictive and prescriptive analytics can guide both your strategic decisions and your operational performance. However, leveraging these new analytic capabilities requires new institutional competencies for gathering, analyzing, intepreting, and acting upon the insights you derive from your data.

Creating a Data-Driven Culture will introduce you to the strategies and competencies required to compete with data-driven operating models and cultures. Although the strategies, skills, and approaches covered in this program apply to all industries, this course uses the health care industry to illustrate the concepts, methods, and actions required for transformation.

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Who Should Attend?

Senior leaders, especially senior managers of firms in the process of developing their analytics capabilities, who need to understand how to perform their roles within an organization seeking to leverage their business analytics insights.

NOTE: This is not a technical course; it does not provide guidance about how to use analytics methodologies, nor train data scientists how to perform analyses.

More About the Program

Over the course of one fast-paced day, you’ll learn from a mix of lectures, class discussions, and interactive exercises. Each of these teaching methods is designed to help you think more critically about re-designing, leading, and managing your business, your teams, and your business processes. Ultimately, you’ll be able to evolve your group’s culture to one that feels empowered by evidence-based insights.

As a leader, what you do can influence how quickly and how effectively your organization adapts to new data analytics processes and behaviors. When you embrace the opportunity to elevate your understanding of your business, your competitors, and your marketplace, and employ data analytics insights in your decision-making, your employees will soon follow.


  • Program design – asking and answering high-impact questions
  • Business alignment – connecting analytics to your business strategy
  • Data and technology planning – ensuring strong support for a more data-driven business
  • Managing the lifecycle – growing the power of your analytical insights over time
  • Interpretation and communication – ensuring insights create real business impact
  • Deployment – incorporating analytics within your existing business processes
  • Organizational design – building new analytics and data sciences roles and teams that can carry your business forward


Program Objectives

At the end of the course, you’ll be able to:

  • Describe the differences between business intelligence and more advanced forms of analytical insights (e.g., machine learning, artificial       intelligence, predictive analytics, prescriptive analytics)
  • Enumerate the organizational competencies–people, process, and technologies–required to support a data-driven business model
  • Align business strategies and imperatives with underlying analytics and data science capabilities
  • Formulate more powerful analytics questions and challenge how enterprises approach asking and answering analytics questions
  • Identify the phases of work associated with developing novel analytic insights, and how those phases evolve over time
  • Assess the general suitability of organizational data to address critical business questions
  • Design a preliminary analytics approach to answer one or more analytics questions
  • Critically evaluate the effectiveness of analytics-related communications and interpretations
  • Assess an organization’s general maturity in analytics and data science, and what opportunities for further growth exist
  • Develop organizational and staffing growth plans to provide new analytic and data science capability and capacity

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Sample Schedule

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Course Schedule

Analytics: Understanding Data and Technology
8:00 - 9:00am

The Analytical Lifecycle and Opportunity Framing
9:00 - 10:30am

Aligning Analytics to Strategy
10:30 - 11:30am

11:30am - 12:00pm

12:00 - 1:00pm

Managing Financial and Customer Insights
1:00 - 3:00pm

Interpretation and Communication
3:00 - 4:00pm

Organizational Planning and Development
4:00 - 5:00pm



This program willl convene in the Esbenshade Meeting Room at The Fuqua School of Business.

Lunch will be included.


Jason Burke

Jason Burke


Professor Burke is an Executive Education faculty member at Duke University’s Fuqua School of Business and a partner at CREO Inc. He previously served as System Vice President and founding Chief Analytics Officer for the UNC Health Care System where his organization was responsible for analytical strategy, R&D, data governance, and consulting services for the statewide health delivery system. He is the author of one of the leading books on business analytics in health and life sciences and has worked in strategy and management roles for SAS, Microsoft, Quintiles, and GlaxoSmithKline.

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