Business Analytics for Leaders – From Data to Decisions


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    Data Is Driving the Future of Business

    Today’s business leaders know that analytics is critical to tomorrow’s success. Many have already discovered how data-driven decisions enable stronger business cases and greater agility, while others are behind the curve.

    Across every sector, business professionals—including those with no coding or advanced analytics experience—are recognizing the need to develop their data fluency and understand how key technologies such as AI intersect with data analytics. In this program, with the help of hands-on activities, live sessions as well as real-world case studies you will discover how data-driven decisions enable stronger business cases and greater agility.


    Data-driven organizations are now 23x more likely to acquire customers, 6x as likely to retain customers and 19x more likely to be profitable.



    94% of enterprises say data and analytics are important to their business growth and digital transformation



    Who Is This Program For?

    Businesses are using analytics to increase efficiency, improve customer service, and identify risks and opportunities across all sectors. This program is designed for business professionals who recognize this growing trend and want to use data and analytics techniques to guide strategy at the top levels of their organizations. (No previous coding or advanced analytics experience is necessary.) Business Analytics for Leaders: From Data to Decisions program could be particularly beneficial for those in the following roles:

    Mid- to Senior-level Managers who want to drive innovation at their organizations by leveraging data-based decision-making models. Representative roles include:

    • Project Manager
    • Sales Manager
    • Finance Manager
    • Operations Manager
    • Product Manager
    • Marketing Manager
    • Director of Product Marketing
    • Director of Engineering
    • Director Strategic Products and Services
    • Investment Directors
    • Executive Directors

    Senior Executives and Business Heads who want to better understand the business opportunities that analytics enable, as well as regulations related to data protection and privacy implications. Representative roles include:

    • Chief Strategy Officer
    • Chief Executive Officer
    • Chief Operating Officer
    • Managing Director
    • Chief Technology Office
    • Chief Information Officer
    • Founder
    • Partner
    • Chief Marketing Officer

    Consultants who want to provide client solutions based on the latest data and technology. Representative roles include:

    • Digital Transformation Consultant
    • Principal Consultant
    • Financial Consultant
    • Management Consultant

    Data Analytics and Technology Professionals who want to lay out the roadmap for analytics and AI initiatives for their organization, with an objective of solving key business problems. Representative roles include:

    • Data Analytics Manager
    • Information and Data Systems Manager
    • Technology Innovation Designer
    • Data Strategist
    • Business Intelligence Manager
    • Analytics Project Lead
    • Technology Lead

    Key Takeaways

    This program will position you to:

    • Gain competitive advantages by capturing data-enabled business opportunities
    • Create data-based decision-making models across your organization
    • Leverage data and experimentation to drive innovation
    • Better evaluate business analytics approaches and strategies
    • Develop a virtuous cycle built on user engagement, data collection, algorithm design, prediction, and improvement
    • Drive business decisions through practical application of an AI-centric operating model

    Program Topics

    Over the course of two months, you will incrementally build your analytics acumen to better equip you for a rapidly evolving, data-centric world.

    Module 1:

    Introduction to Business Analytics and AI

    From the beginning, this program grounds your understanding of business analytics in the real world by citing actual business cases, not just theoretical applications. In this module we introduce the AI-centric operating model, and how to leverage its four components to achieve scale, scope, and innovation.

    Module 5:

    Descriptive Analytics: Unsupervised Learning for Business

    In this module we switch to unsupervised learning, which can help you group and cluster data more effectively. The wide range of business applications includes everything from customer segmentation to detecting fraudulent transactions.

    Module 2:

    Descriptive Analytics: Accessing, Transforming, and Visualizing Data

    This module is all about data: how to access it, process it, transform it, and make it AI-ready. We will also introduce the concept of data visualization and learn some of the best practices for accomplishing it.

    Module 6:

    Prescriptive Analytics: Reinforcement Learning for Business

    Here we explore the ways that AI-centric businesses use reinforcement learning for recommender systems, web advertising, stock trading, healthcare, and many other applications. The computer performs a succession of trial-and-error interactions within a dynamic environment to try to determine which approach is best.

    Module 3:

    Predictive Analytics: Supervised Learning for Business (Part 1)

    In this module you will learn how to exploit patterns in historical data to forecast future events using predictive analytics, a key tool for identifying risks and opportunities. We will also examine the scope of supervised learning in business using several examples.

    Module 7:

    Prescriptive Analytics: Experimentation

    In this module we learn how businesses develop experimentation platforms that enable them to run many tests at high velocity, which in turn allows them to learn, adapt, innovate, and make sound business decisions even in times of uncertainty.

    Module 4:

    Predictive Analytics: Supervised Learning for Business (Part 2)

    Continuing our discussion of supervised learning and predictive analytics, in this module we introduce state-of-the-art AI techniques to enable data-driven decision-making.

    Module 8:

    The Future of Big Data and AI

    We will first discuss some concerns associated with the use of machine learning in prescriptive analytics, and how this might affect our business strategies moving forward. We will then discuss data protection and privacy, which will continue to be an important consideration in the world of Big Data. We will not only present some best practices associated with data protection, but also outline steps for developing a more general data strategy.

    Capstone Project – The two-month Business Analytics for Leaders: From Data to Decisions program culminates with a capstone project in which you solve a real-world business problem using an AI-centric operating model.


    Case Studies

    To get a clearer understanding of how business analytics actually works in the real world, you will examine several case studies involving these prominent companies:


    Explore how LendingClub used supervised learning (or predictive analytics) to predict whether borrowers will repay or default on their loans.


    Discover how eBay used prescriptive analytics and experimentation to make strategic decisions for feature implementation.


    Explore how Osaro leveraged deep reinforcement learning to enable automation and transform the warehouse market.

    Program Faculty


    Upon successful completion of the program, participants will be awarded a verified digital diploma by Emeritus Institute of Management, in collaboration with MIT Sloan, Columbia Business School Executive Education & Tuck School of Business at Dartmouth.


    This program counts toward a Certificate of Business Excellence

    Curriculum Days: Two days

    Pillar(s): Entrepreneurship & Innovation / Strategy & Management

    A UC Berkeley Certificate of Business Excellence gives individuals the opportunity to create a personal plan of study structured by our four academic pillars. Participants will earn a mark of distinction with certification from a world-class university, and enjoy the flexibility of completing the program in up to three years.