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Business Analytics

Program Overview

Data is everywhere in your organization — but are you using it to its full advantage? As you continue to gather information about customers, operations, talent, and performance, knowing how to analyze and apply it is imperative. Business Analytics will show you how.

While big data and analytics are most frequently associated with marketing and health care, the reality is that analytics of many kinds can inform decisions and transform organizations in every industry.

Business Analytics brings together the latest research and practical insights from a range of industries and functional areas to help participants immediately make better use of analytics when they return to work. It also leverages the work and thought leadership of the Wharton Customer Analytics Initiative, the world’s preeminent academic research center focusing on the practice of data-driven business decision-making.

Read more about the Experience & Impact »

Business Analytics Highlights and Benefits

  • Use data to inform better decisions and build better business models
  • Create greater competitive advantage
  • Understand current challenges of data analysis
  • Explore new types of data and analyses
  • Discover effective ways to hire and manage data science teams

Contact Us

Schedule a personalized consultation to discuss your professional goals:


September 11 - 14, 2017$8,600

Philadelphia, PA

Tuition for Philadelphia programs includes lodging and meals. Prices are subject to change.

Still considering your options? View programs within Strategy & Innovation, Marketing & Sales or use our Program Finder.

Experience & Impact

Wharton’s 360-degree, cross-disciplinary approach builds on the expertise of faculty from diverse academic departments that may include operations, information and decisions; legal studies and business ethics; marketing; statistics; and management. This comprehensive program will help participants develop an organization-wide understanding and application of analytics.

Business Analytics segments the program’s curriculum along the following verticals: consumer, retailing, and manufacturing. In this way, the program covers traditional forms of big data and explores new developments in customer and people analytics, social networks, and financial technology. Participants will come away with a better understanding of how various parts of the firm consider big data and analytics.

Business Analytics draws on research and practical insights from the Wharton Customer Analytics Initiative (WCAI), a global destination for Business Analytics thought leadership and innovation. Through WCAI, Wharton is leading the way to help companies use data for business by better monetizing the data they collect about customers through the development and application of new predictive models. WCAI faculty have worked directly with companies in a wide range of industries, and the program will leverage their knowledge to address the needs of program participants. In addition, guest experts in various types of analytics will share their experiences and engage participants in discussions about best practices and new types of data and analyses.

By attending this program, participants will come away understanding the best practices for using data to develop more effective business strategies, meet customer needs, and add value to the corporate bottom line. Business Analytics provides a framework for collecting, analyzing, and harnessing the potential of data to develop and execute better business decisions.

Session Topics Include:

  • New Types of Data
  • The Power of Experimentation
  • Predictive Analytics
  • Digital Analytics
  • Customer Value Analysis
  • Value Pricing in the Age of Analytics
  • Analytics for Supply Chain Efficiency
  • Building the Analytics Team
  • Legal Issues: Privacy and Transparency
  • Hardware Requirements for Data Analysis

Live Case

In addition to lectures and class discussions, this program includes a live case. Based on a real company, this experience provides an insider’s view of the current challenges and opportunities inherent in building an analytics capability across an organization.

It begins with a presentation on the firm’s goals and how leveraging data and analytics play a role, including how the company developed and executed its analytics strategy Each day, classroom learnings will be linked to the case, and participants will engage in problem-solving discussions, both for the case firm and their own organizations.

Who Should Attend

Senior-level managers who are responsible for analyzing data as well as executives in job functions such as marketing, finance, operations and strategy, will benefit from Business Analytics. Specifically, jobs titles include CEO, CMO, CTO, COO, and digital officers. Executives who are responsible for data science and the teams that collect data, and those who are beginning to use available data to inform strategy and operating decisions will also come away with actionable knowledge to move their business initiatives forward.

Industries that are currently exploiting business analytics include, but are not limited to, health care, financial services, professional services, high technology, retail, and manufacturing.

Group Enrollment

To further leverage the value and impact of this program, we encourage companies to send cross-functional teams of executives to Wharton. We offer group enrollment benefits to companies sending four or more participants.

Plan Your Stay


Raghuram Iyengar, PhD   See Faculty Bio

Academic Director

Associate Professor of Marketing, The Wharton School

Research Interests: pricing, social influence, social networks

Gad Allon, PhD   See Faculty Bio

Jeffrey A. Keswin Professor; Professor of Operations, Information and Decisions; Director of the Jerome Fisher Program in Management & Technology, The Wharton School

Research Interests: Operations management and operations strategy

Matthew Bidwell, PhD   See Faculty Bio

Associate Professor of Management, The Wharton School

Research Interests: Human resource management, knowledge workers, worker mobility

Eric Bradlow, PhD   See Faculty Bio

The K.P. Chao Professor,Professor of Marketing; Faculty Director, Wharton Customer Analytics Initiative; Chairperson, Wharton Marketing Department, The Wharton School; Professor of Economics; Professor of Education, Professor of Statistics, University of Pennsylvania

Research Interests: Marketing research methods, missing data problems, psychometrics

Peter Fader, PhD   See Faculty Bio

Frances and Pei-Yuan Chia Professor; Professor of Marketing, The Wharton School

Research Interests: Lifetime value of the customer, sales forecasting for new products, behavioral data

Elea McDonnell Feit, PhD   See Faculty Bio

Assistant Professor of Marketing, LeBow College of Business, Drexel University

Research Interests: Marketing analytics, digital marketing

Kartik Hosanagar, PhD   See Faculty Bio

John C. Hower Professor, The Wharton School

Research Interests: Internet advertising, internet marketing, and media

Robert Stine, PhD   See Faculty Bio

Professor of Statistics, The Wharton School

Research Interests: Credit scoring, model selection, pattern recognition and classification, forecasting

Kevin Werbach, JD   See Faculty Bio

Associate Professor of Legal Studies and Business Ethics, The Wharton School

Research Interests: Business, legal, and social implications of the internet and communications technologies

Lyle Ungar, PhD   See Faculty Bio

Professor of Bioengineering, Professor of Computer and Information Science, the School of Engineering and Applied Science; Professor of Genomics and Computational Biology, Perelman School of Medicine; Professor of Operations, Information and Decisions, the Wharton School; Professor of Psychology, School of Arts and Sciences, the University of Pennsylvania

Research Interests: Statistical natural-language processing, deep learning, mining social media to better understand personality

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