NYU Stern
Share / Print

Business Analytics: Inside Out in Two Days

Date
February 19 - 20, 2015
Location
NYU Campus, Greenwich Village
Cost
$3,600 (Accommodation not included)
Other Dates

Business analytics is the intersection of business and technology. It lives in data. As a strategic asset, business analytics offers new opportunities for competitive advantage. In this new era of big data, there are 5 questions every company must face:  

  • What happens in a world with an abundance of data?
  • How can you establish a business analytics culture within your organization?
  • How would your competitive strategy change if you could test your decisions?
  • How would your business change if you used data analysis for real-time customization?  
  • Could business analytics create new business opportunities?

 

Senior leadership teams within companies demand the skills in their workforce to extract and process useful information from their customer, financial, marketing, and operations data repositories. Given the existing terabytes of data, decision makers seek a lens to view and analyze the data from the vantage points of profitability, market assessment, process design, and opportunity recognition. Business leaders need to surface this information from data. It is already clear that business analytics, a new type of corporate asset, will create an opportunity to pull away from the pack.

Just as companies are beginning to realize the competitive advantage that smarter business analytics represents, so, too, individuals with strong quantitative backgrounds are seeking ways to acquire business analytics skills, as well as effective communication tools to communicate and visualize the results throughout their companies.

Business Analytics: Inside Out in Two Days includes the curriculum that will supply motivated decision makers with the knowledge to understand and use these skills and improve their creative decision-making. Participants will be challenged throughout the program to ask themselves how this relates to their organization. Case studies, group break-out sessions, interactive mini-lectures will guide the learning progress. The sessions are highly interactive and require engagement with participants and the faculty. This program introduces you to the origins of Business Analytics. Specifically, we focus on why and how Business Analytics guides effective decision-making and strategy formation in organizations. Business analytics has existed for decades. Why is it exploding today? Why has it gained such popularity in the press and business world? The answer lies in the intersection of Business Analytics and Big Data. We define these terms and explain why they rank today as treasured assets for top management.

 

Program Benefits:

During this program participants will learn more about a wide range of business analytics issues, specifically:

  • How to develop a deeper understanding of what business analytics means in today’s world of Big Data
  • How companies function in a world with an abundance of data
  • How your business might change if you used data for real-time decision-making


This program is eligible for Continuing Professional Education Credits (CPE).  Please contact the NYU Stern Executive Education office for more information.

For information on NYU Stern's degree program in Business Analytics, please visit stern.nyu.edu/business-analytics

Program Faculty

Harry Chernoff

Harry G. Chernoff is a Clinical Professor of Operations Management at NYU Stern School of Business. He has been a member of the faculty of the Stern School for over 30 years, and has received numerous honors and awards for excellence in teaching. His early teachings brought the topic of operations management to Stern, and led to the development of the course and department. Professor Chernoff teaches in the full-time M.B.A. Program, the part-time Langone M.B.A. Program and numerous executive M.B.A. programs. He is the Academic Director of the NYU Shanghai Master of Science in Business Analytics Program. He has also taught in international programs at business schools and private industry training centers in Bordeaux, France, Vienna, Austria, Hanoi and Ho Chi Minh City, Vietnam, and Wuhan, China. Read his full bio.


Kristen Sosulski

Kristen Sosulski is a Clinical Assistant Professor of Information Systems at NYU Stern School of Business. She has been a member of the NYU faculty since 2005. Professor Sosulski teaches courses on data visualization, information technologies, social media strategy and digital communities, and search technologies. Professor Sosulski’s scholarly interests include information visualization, social media and networks, small business entrepreneurship, and educational technology. She has consulted with for profit, nonprofit and government agencies to conceptualize design and evaluate online educational, business and social media projects. Professor Sosulski is the Director for he Center for Innovation in Teaching and learning and has several published works related to effective teaching practices and techniques in which she brings directly into her own classroom. Read her full bio.


Program Participants


Who Should Attend:

  • Individuals who desire to understand the current explosion of big data in global business
  • Individuals who want learn more about why and how Business Analytics guides effective decision-making and strategy formation in organizations
  • Individuals who understand the need to be able to communicate results to varied audiences through information visualizations

 

Program Agenda
Day One Day Two



Session 1

Inside the Business 
Analytics Process

Session 2

How It Works:
Data to Results


Networking Reception


Session 3

On the Outside


A Practitioner's Perspective
Lunchtime Speaker


Session 4

Analytics:
Disrupting the Status Quo


Program Conclusion and Evaluation
 

 

Program Session Details

Day 1


Session 1

Inside the Business Analytics Process

  • Data, models and results
  • Knowledge to wisdom


Session 2
How it Works: Data to Results

  • Managing and manipulating data
  • Modeling and optimization techniques


Networking Reception

Day 2


Session 3

On the Outside

  • Patterns, trends and differences
  • Data visualization

 


A Practitioner's Perspective
Lunch Time Speaker



Session 4

Analytics: Disrupting the Status Quo
  • Communication, culture and corporate strategy
  • From customers to suppliers: New business insights

Program Conclusion and Evaluation