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    Analytics for Strategic Growth: AI, Smart Data, and Customer Insights
    Wharton Executive Education

    Analytics for Strategic Growth: AI, Smart Data, and Customer Insights

    Wharton Executive Education, Philadelphia
    HomeData & AIWharton Executive EducationAnalytics for Strategic Growth: AI, Smart Data, and Customer Insights
    5 daysDuration
    in-personFormat
    EnglishLanguage
    Data & AITopic

    Next Available Cohort

    Choose your preferred start date

    Nov 2 - Nov 6, 2026
    5 days · in-person · Instructor-Led · Philadelphia, PA
    Open
    $13,250

    All-inclusive program fee

    About This Program

    New tools and techniques, including AI and augmented analytics, are dramatically changing the ways businesses operate. They are being used to develop deeper and more accurate insights into customer behavior and preferences, to optimize marketing campaigns, and more. And because these tools and their uses are evolving quickly, they are leveling the playing field for firms that are just beginning to harness their power. But the massive opportunities they offer are not without risk. From the faculty experts of AI at Wharton, Analytics for Strategic Growth: AI, Smart Data, and Customer Insights will give you an insider’s perspective on analytics, showing you how to leverage your data to transform existing business practices. You will discover how to bridge knowledge gaps that may exist between your data science teams and the C-suite and develop a greater understanding of the risks and ethical concerns that arise with the use of analytics and AI tools such as ChatGPT. The program will show you how to embrace a test-and-learn approach that uses experimentation to learn and refine your techniques, as well as how to convert model-based recommendations into actionable insights and better managerial decisions. Academic Director Raghuram Iyengar says Analytics for Strategic Growth: AI, Smart Data, and Customer Insights will help participants make sense of their customer data and strengthen their decision making.

    Why Wharton Executive Education?

    When Fortune 500 boards, sovereign wealth funds, and serial founders want their senior teams sharpened on finance, strategy, or leadership, they repeatedly arrive at the same address in West Philadelphia. Wharton's executive programs are built on the same faculty who define the academic disciplines themselves — not practitioners brought in to translate research, but the researchers writing it.

    Your Profile

    • Chief Marketing Officer
    • Chief Information and Digital Officer
    • Chief Product Officer
    • Global Director, Pricing Strategy
    • SVP, Data and Decision Sciences
    • SVP, Corporate Research and Analytics
    • VP, Digital Strategy
    • Managing Director
    • Director, Business Intelligence
    • Director, Corporate Sales Operations
    • Director, Digital Marketing
    • Director, Marketing Communications
    • Director, Product Management
    • Director, Products and Services
    • Principal Data Scientist
    • Business Intelligence Analyst
    • Marketing Research Analyst

    Benefits

    • Many companies have been swimming in data and spending millions to collect more. But the development of new AI and analytics tools and dramatic shifts in consumer behavior have rearranged the competitive landscape. Analytics for Strategic Growth: AI, Smart Data, and Customer Insights addresses the most pressing concerns of business leaders today who need to understand and utilize the latest methods for collecting and analyzing data—and shows how to lead the organization’s digital transformation
    • This program explores the growing need for greater customer centricity, examines data privacy regulations and other legal and ethical concerns, and shows how to build a compliant analytics program. Participants will learn how to cultivate an analytics-based mindset throughout their organization and gain a deep understanding of emerging AI technologies that are rapidly changing businesses today.
    • The program examines customer analytics using three foundational pillars:
    • Descriptive Analytics examines the different types of customer data and how they can be visualized, ultimately helping you leverage your findings and strengthen your decision making. Predictive Analytics explores the potential applications of data once collected and interpreted. Modeling tools such as regression analysis and the latest machine learning algorithms can help to predict future end-user behavior. Prescriptive Analytics takes you through the final step: formulating concrete recommendations based on your data. These recommendations can be directed toward a variety of efforts, including pricing and social-platform outreach.
    • A distinctive highlight of Analytics for Strategic Growth: AI, Smart Data, and Customer Insights is engaging in discussions with expert practitioners from a range of industries who have experience with both business-to-consumer and business-to-business customer models. They will reveal their real-time challenges and best practices, sharing their experience with the three most common hurdles of analytics strategy — tools, talent, and metrics — and discussing what tools to use when, how to build analytics teams, and what to track about your customers. Each session also includes a short, highly interactive case study that allows you to explore real-world applications.
    • Analytics for Strategic Growth: AI, Smart Data, and Customer Insights brings together a powerhouse team of Wharton faculty from operations, information, and decisions; legal studies and business ethics; marketing; and statistics. They guide you through the most current theories and best practices for designing and implementing a data-analysis strategy, while continuously linking the learning to your real-life challenges.

    What You'll Learn

    • The Future of Firm Profits: Big Data, New Data, Better Science
    • Digital Strategies with AI and Machine Learning
    • Data Science: Building the Analytics Team
    • Customer Lifetime Value in a Machine Learning World
    • Assessing Strategy with Business Experiments
    • Telling the Analytics Story
    • Actionable Predictive Analytics

    Frequently Asked Questions

    How to Apply

    1. 1

      Check your eligibility

      Review the entry requirements listed on this page. Most executive programs require 8–15 years of professional experience.

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    3. 3

      Contact the school

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    4. 4

      Prepare your application

      Gather your CV, reference letters, and any required test scores. Many EMBA programs waive standardised tests for senior candidates.

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