Business Analytics: From Data to Insights

Unlock business success with data-driven decision making

Who Is This Program For?

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.

Account Managers
CEOs
Executive Directors
Product Managers
Assistant Directors

Chief Marketing Officers
Financial Analysts
Business Analysts
CIOs
Vice Presidents

Consultant
Project Manager
Operations Manager
Business Development Manager
Finance Director

Your Learning Experience

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

Frameworks

Delivered via video lectures

Program Modules

Orientation Module: Introduction to Business Analytics

Module 1: Descriptive Analytics: Gathering Insights

Module 2: Descriptive Analytics: Describing and Forecasting Future Events

Module 3: Predictive Analytics: Making Predictions Using Data

Module 4: Predictive and Prescriptive Analytics: Application and Toolkit

Module 5: Predictive Analytics: Tools for Decision Making

Module 6: Predictive Analytics: Using Data to Predict Employee Performance

Module 7: Prescriptive Analytics: Providing Recommendations to Change Behavior

Module 8: Prescriptive Analytics: Determining the Most Favorable Outcomes

Module 9: Application of Analytics for Business

Methods and Tools

Data Collection Methods

Descriptive Data Collection: Surveys, Net Promoter Score (NPS), and Self-Reports
Passive Data Collection
Media Data Collection: Radio, Television, Mobile, etc.

A/B Testing

Correlation and Causation

Forecasting

Objective and Subjective
Strand or Seasonal Variation
Exponential Smoothing
Descriptive Statistics
Trends and Seasonality
New Product

Regression Analysis

Simulation Toolkit

Analysis ToolPak
Solver Optimization Tool

Data Visualization and Interpretation

Optimization Models

Decision Trees

Industry Examples

Starbucks

How is Starbucks identifying which customers to give deals to in order to maximize return on investment (RoI)?

American Express

How does American Express use social media data to predict whether you are going to give up your American Express card?

Netflix

How is Netflix using metadata tagging to know what you watch and to create relevant content?

Retail

Why were stores either selling out of Time magazine or only selling a small fraction of their inventory?

Apparel

How has Kohl's been using analytics for smartphone targeting?

Technology

How could Amazon potentially ship before you buy?

Program Faculty

Christopher D. Ittner

Faculty Director, EY Professor of Accounting; Chairperson, Accounting Department

Peter Fader

Frances and Pei-Yuan Chia Professor; Professor of Marketing

Raghuram Iyengar

Miers-Busch, W’1885 Professor, Professor of Marketing; Faculty Director, Wharton Customer Analytics (WCA)

Senthil Veeraraghavan

Professor of Operations, Information and Decisions

Sergei Savin

Associate Professor of Operations, Information and Decisions

Ron Berman

Assistant Professor of Marketing

Noah Gans

Anheuser-Busch Professor of Management Science

Eric Bradlow

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

Matthew Bidwell

Associate Professor of Management

Earn a Certificate from Wharton

Earn a digital Wharton certificate upon successful completion of the online program.

All certificate images are for illustrative purposes only and may be subject to change at the discretion of the Wharton School.

FAQs

The Program

The Learning Experience

Certification

Technical Requirements

Payment Process

Refund Policy

Didn't find what you were looking for? Write to us at learner.success@emeritus.org or Schedule a call with one of our Program Advisors or call us at +1 680 205 5118 (US) / +44 185 845 9995 (UK) / +65 3135 1422 (SG)

Please note that our team is away from December 23, 2024 to January 2, 2025 for the year-end holidays. We look forward to addressing your queries when we resume operations in the new year.

Early registrations are encouraged. Seats fill up quickly!

Flexible payment options available.

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