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Business Analytics for Executives: Leveraging Data as a Strategic Asset

Business Analytics for Executives: Leveraging Data as a Strategic Asset


NYU Stern School of Business
44 West 4th Street
New York, NY 10012

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Business Analytics for Executives: Leveraging Data as a Strategic Asset


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The power of data analytics in business is widely acknowledged; despite this, many firms have difficulty reaping the benefits. Why? They face two main challenges: (1) understanding what analytics can and cannot do when making business decisions, and (2) integrating analytics into every aspect of the organization, rather than relegating it to a separate corner of the firm.

This program is designed to help executives leverage analytics to improve their decision-making skills across their organization. Through a combination of discussion, simulation and experiential exercises, participants will develop a clear understanding of what decisions analytics can help them make, and the best way to transform analytics insights into strategies.

Certificates and Credits

Upon completion of this course, participants will receive a Certificate of Achievement. This program is also eligible for Continuing Professional Education (CPE) credits through NASBA.

Program Takeaways

During this course, participants will:

  • Strategy

    Understand the difference between correlation and causality, and why it matters for strategic decision making
  • Tools

    Explore both dashboard-based and multivariate-based analytical tools that can facilitate better decisions
  • Value

    Recognize the need to build decision-centric organizations to realize full value from their investments in analytics

Who Should Attend

Although there are no formal education or background requirements, this course is designed for executives who meet the criteria below. While we strongly encourage global participation, please note that all courses are taught in English. Proficiency in written and spoken English is required.

  • Years of Experience

    Designed for professionals with 5+ years of work experience
  • Job Functions

    Ideal for professionals responsible for analytics-based projects or reports, or who interact frequently with data analysts
  • Prerequisites

    Intended for individuals with strong business knowledge but limited or no knowledge of the technical side of business analytics


The following agenda is a sample and subject to change.

8:30 am - 9:00 am: Breakfast
Session 1: The Potential and Limits of Data Analytics
  • Understanding what questions data analytics can and cannot answer
  • Introducing data-driven decision making by linking data with strategy
12:30 pm - 1:30 pm: Lunch
Session 2: Data-Driven Decision Making
  • Applying data to real world decisions
  • Understanding how the difference between correlation and causality does–and does not–affect decision making
5:00 pm - 6:00 pm: Networking Reception

8:30 am - 9:00 am: Breakfast
Session 3: Beyond Descriptive Data
  • The potential and benefits of multivariate insight
  • Guided exploration of using regression to make decisions and achieve better insight
12:30 pm - 1:30 pm: Lunch
Session 4: Decision-Centric Organizations
  • What it means to build a decision-centric organization
  • Applying decision-centric organizing to your organization
5:00 pm - 5:30 pm: Program Conclusion and Evaluations