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Business Analytics: From Data to Insights

Unlock business success with data-driven decision making

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Translate business analytics into strategic advantage and power business growth

In a world where every click, transaction, and interaction generates vast amounts of data, the ability to turn information into meaningful insights is becoming a critical business skill. Organizations across industries need professionals who can not only interpret data but also transform it into decisions that drive growth, efficiency, and competitive advantage.

Led by world-renowned Wharton faculty, the Business Analytics: From Data to Insights online program blends analytical techniques with practical business frameworks in a nine-week online learning journey. Through a curriculum built around descriptive, predictive, and prescriptive analytics, participants learn to uncover patterns in complex data, build models that forecast outcomes, and translate insights into strategic recommendations. As you progress through this professional business analytics program, you will engage with real-world examples from leading organizations and apply actionable frameworks to guide decisions, enhance customer experiences, and unlock new opportunities for growth.

23 times

The likelihood of businesses acquiring more customers vs. their competitors, using data analytics.
SOURCE: FORBES HUMAN RESOURCES COUNCIL

$745.15 Billion

The projected valuation of the global big data analytics market by 2030, growing at a CAGR of 13.5%.
SOURCE: FORTUNE BUSINESS INSIGHTS

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    Key takeaways

    The Business Analytics: From Data to Insights program from Wharton Executive Education integrates theory with real-world application, combining flexibility with depth to deliver a comprehensive professional learning experience. By the end of this online program, you will be able to:

    • Understand new and best-practice methods for collecting data

    • Gain deeper insights into user behavior

    • Identify and apply the right tools to predict future outcomes

    • Employ real-world business analytics practices used by leading organizations

    • Formulate data-driven recommendations to inform strategic decisions and guide your organization toward success

    Your learning experience

    Wharton Business Analytics Programs - Real World Examples
    Real-World Examples

    Delivered through a combination of video and live online lectures

    Wharton Business Analytics Program - Application to Data Sets
    Applications to Data Sets

    Learn through individual assignments and feedback

    Wharton Business Analytics Program - learnings
    Debrief of Learnings

    Delivered through a combination of recorded and live video lectures

    Wharton Business Analytics Programs - Live Teaching Sessions
    4 Live Teaching Sessions by Wharton Faculty

    Engage in faculty-led live sessions on real-world business analytics applications

    Wharton Business Analytics Programs - Data Analytics Simulation
    1 Data Analytics Simulation

     Apply key frameworks in a practical simulation that replicates complex business challenges and decision-making scenarios

    Wharton Business Analytics Program - Frameworks
    Frameworks

    Build your understanding of core frameworks via concise video lectures that link theory to practice

    Program Modules

    Live sessions

    As part of the Business Analytics: From Data to Insights online program, you will participate in live sessions* embedded within key modules to reinforce learning through real-time interaction, faculty-led instruction, and applied exercises. Through these interactive sessions, you will explore real-world applications of business analytics, examine industry examples, and deepen your understanding of how data-driven insights can shape strategy, improve performance, and drive business growth.

    1
    Descriptive Analytics — Gathering Insights

    Understand survey design fundamentals, participation strategies, artificial intelligence (AI) integration in research, and customer-centric innovation through case-based examples to effectively gather meaningful insights.
    2
    Predictive Analytics — Using Data to Predict Employee Performance

    Explore the use of people analytics in human resources (HR), regression modeling techniques, model output interpretation, and advanced topics including attrition types and AI impacts on workforce analytics.
    3
    Prescriptive Analytics — Determining the Most Favorable Outcomes

    Delve into optimization methods including linear and nonlinear programming, risk assessment frameworks, simulation techniques, and strategies for managing risk–reward trade-offs.
    4
    Application of Analytics for Business

    Understand the analytics translator role, including bridging business needs and analytics, developing value-driven strategy maps, selecting predictive measures, setting targets, and addressing data quality and organizational challenges.

    *Note: Topics and the schedule are subject to change.

    Hear from our participants

    I really appreciated that the program didn’t just explain concepts like descriptive, predictive, and prescriptive analytics in isolation, but showed exactly how they can be applied to business decisio...
    Nguyen Nguyen
    Lifecycle Senior Manager,
    Binance
    I have taken similar programs through other institutions. While all were valuable, this course provided the most practical information on how to implement and interpret multiple types of analysis usin...
    M. Daniel Hancock
    Sr. Director of Customer Insights & Analytics,
    Maine Community Bank
    I really enjoyed thinking about my own organization and a potential new one when learning and applying these techniques. The real-world examples made these methods very interesting, and I'm looking fo...
    Elijah Souther
    Procurement Specialist,
    A. Duie Pyle
    The best part of this program was its ability to teach complex concepts in a short amount of time in a way that respects the fact that many of those enrolled have busy professional lives in addition t...
    Trent Troeger
    Consultant,
    KPMG LLP
    The program covered a broad spectrum of analytics topics, from descriptive to prescriptive analytics. This holistic approach gave me a well-rounded understanding of how to use data to drive decision-m...
    Theresa Savillo
    Financial Analyst,
    Earth Rated

    Where past participants come from

    Disclaimer: All product and company names are trademarks or registered trademarks of their respective holders. Use of product and company names does not imply any affiliation with or endorsement by the holders.

    The list of companies is only indicative and not exhaustive.

    Who is this program for?

    The Business Analytics: From Data to Insights 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 provide them with the expertise to 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

    • C-suite executives looking to stay ahead of trends, leverage analytics as a strategic advantage, and make data-driven decisions

    • Mid- to senior-level managers aiming to use analytics to boost performance, influence business outcomes, and advance their careers

    • Analysts seeking to understand the business impact of analytics, extract actionable insights, and accelerate career growth

    • Consultants looking to deliver stronger client insights, apply the latest analytics approaches, and use structured problem solving

    Seamless Learning, Anywhere

    Methods and tools

    The Business Analytics: From Data to Insights program integrates a wide range of analytical methods and tools that enable participants to extract insights, forecast outcomes, and guide strategic action. From data collection and visualization to optimization and simulation, each technique supports the goal of turning information into impact.

    Industry examples

    Starbucks Logo

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

    American Express Logo

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

    Netflix Logo

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

    Time Magazine Logo

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

    Kohl's Logo

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

    Amazon Logo

    How could Amazon potentially ship before you buy?

    Disclaimer: All product and company names are trademarks or registered trademarks of their respective holders. Use of product and company names does not imply any affiliation with or endorsement by the holders.

    The list of companies is only indicative and not exhaustive.

    Program Faculty

    Wharton Business Analytics Program Faculty -Christopher D Ittner
    Christopher D. Ittner

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

    Wharton Business Analytics Program Faculty - Peter Fader
    Peter Fader

    Frances and Pei-Yuan Chia Professor; Professor of Marketing

    Raghuram Iyengar img
    Raghuram Iyengar

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

    Wharton Business Analytics Program Faculty -Senthil Veeraraghavan
    Senthil Veeraraghavan

    Professor of Operations, Information and Decisions

    Wharton Business Analytics Program Faculty - Sergei Savin
    Sergei Savin

    Associate Professor of Operations, Information and Decisions

    Wharton Business Analytics Program  Faculty - Ron Berman
    Ron Berman

    Assistant Professor of Marketing

    WH-BA-Noah Gans-faculty
    Noah Gans

    Anheuser-Busch Professor of Management Science

    Wharton Business Analytics Program Faculty -Eric Bradlow
    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

    Wharton Business Analytics Program Faculty -Matthew Bidwell
    Matthew Bidwell

    Associate Professor of Management

    Earn a Certificate from Wharton

    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

    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)

    Flexible payment options available.

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