Consumer Packaged Goods
How is Starbucks identifying which customers to give deals to in order to maximize return on investment (RoI)?
Special pricing up to 20% discount is available if you enroll with your colleagues. Please send an email to group-enrollments@emeritus.org for more information.
Formulate data-driven business decisions that lead your company towards success
Wharton's three-month online program — Business Analytics: From Data to Insights — arms managers and leaders with the tools needed to break away from the pack. Take the opportunity to turn data into a competitive advantage.
IDC predicts analytics and big data market will reach $274.3 billion in revenue by 2022.
According to a 2020 Sisense COVID-19 survey, 55% of companies used data to improve efficiency during the pandemic while 47% relied on it to improve customer interactions and 45% used it to predict business outcomes.
of the content streamed on Netflix is driven by analytics — specifically its recommendation engine.
The Business Analytics program is designed to give participants an understanding of how to look at data and identify insights, improve their ability to make long-term predictions, and prescribe future actions to help make better business decisions.
The program is ideal for:
C-suite executives looking to keep pace with current trends, use business analytics as a strategic advantage, and make more data-backed decisions.
Mid- to senior-level managers looking to learn how analytics can help improve performance within their functional area while impacting business and growing in their roles.
Analysts who want to understand the business implications of analytics, better equip themselves to draw business relevant insights, and grow in their career.
Consultants seeking to offer better insights to their clients that are based on the latest ideas in business analytics, and learn structured approaches of problem solving through analytics.
— Justin Teo, Chief Digital Officer
— Francisco Márquez, Manager, Supply Network
— Haley Mathewson, Consultant Associate
— Charlene Ren, Academic Project Consultant
— Mahalakshmi Viswanathan, Business Director
Frameworks
Delivered via video lectures
Real-World Examples
Delivered through a combination of video and live online lectures
Applications to Data Sets
Learn through individual assignments and feedback
Debrief of Learnings
Delivered through a combination of recorded and live video lectures
4 Live Teaching Sessions by Wharton Faculty
1 Data Analytics Simulation
Identify effective methods for collecting data on customer behavior and use it to make better decisions for your business.
Learn how to use historical data such as trends and consumption patterns to estimate forecasts for the future.
Choose the right tool for decision-making to create future business strategies and determine the kinds of predictions you can make to create future strategies.
Apply optimization models to specific business challenges with low uncertainty and determine the most favorable outcome for your business.
Interpret and visualize the results of simulation models to evaluate complex business decisions in uncertain settings.
Use data analytics to derive insights into the key components of the staffing cycle for your business — hiring, internal mobility, and attrition.
Write prescriptions for data-driven decision-making for your organization using optimization models.
Determine the most favorable outcome for a business decision using decision trees in conjunction with optimization and simulation.
Explain important components of different use cases of analytics in business and create a plan to put data to work in your organization.
Interpret and visualize the results of simulation models to evaluate complex business decisions in uncertain settings.
Identify effective methods for collecting data on customer behavior and use it to make better decisions for your business.
Use data analytics to derive insights into the key components of the staffing cycle for your business — hiring, internal mobility, and attrition.
Learn how to use historical data such as trends and consumption patterns to estimate forecasts for the future.
Write prescriptions for data-driven decision-making for your organization using optimization models.
Choose the right tool for decision-making to create future business strategies and determine the kinds of predictions you can make to create future strategies.
Determine the most favorable outcome for a business decision using decision trees in conjunction with optimization and simulation.
Apply optimization models to specific business challenges with low uncertainty and determine the most favorable outcome for your business.
Explain important components of different use cases of analytics in business and create a plan to put data to work in your organization.
Data Collection Methods
A/B Testing
Correlation and Causation
Forecasting
Regression Analysis
Simulation Toolkit
Data Visualization and Interpretation
Optimization Models
Decision Trees
How is Starbucks identifying which customers to give deals to in order to maximize return on investment (RoI)?
How does American Express use social media data to predict whether you are going to give up your American Express card?
How is Netflix using metadata tagging to know what you watch and to create relevant content?
Why were stores either selling out of Time magazine or only selling a small fraction of their inventory?
How has Kohl's been using analytics for smartphone targeting?
How could Amazon potentially ship before you buy?
Faculty Director, EY Professor of Accounting; Chairperson, Accounting Department
Frances and Pei-Yuan Chia Professor; Professor of Marketing
Miers-Busch, W’1885 Professor, Professor of Marketing; Faculty Director, Wharton Customer Analytics (WCA)
Professor of Operations, Information and Decisions
Associate Professor of Operations, Information and Decisions
Assistant Professor of Marketing
Anheuser-Busch Professor of Management Science
The K. P. Chao Professor; Professor of Marketing; Vice Dean, Analytics at Wharton; Chairperson, Wharton Marketing Department; Professor of Economics; Professor of Education; Professor of Statistics, The Wharton School
Associate Professor of Management
Earn a digital Wharton certificate upon successful completion of the online program.
Download BrochureAll certificate images are for illustrative purposes only and may be subject to change at the discretion of the Wharton School.
Flexible payment options available.