Executive Education
    H a r v a r d | B u s i n e s s | S c h o o lExecutive Education
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    Program Advising team
    Email: executive_education@hbs.edu
    Competing on Business Analytics and Big Data
    Dates: 02–07 JUN 2019
    Location: HBS Campus
    Fee: $13,000
    The program fee covers tuition, books, case materials, accommodations, and most meals.

    Summary

    Companies across the globe are collecting huge volumes of data about their customers, operations, and performance—but data alone won't deliver competitive advantage. This big data analytics program explores the strategic opportunities presented by the explosion in data, and enables you to harness the power of big data to transform your company. You will acquire a firm grounding in data analytics and practical strategies for implementing data-focused initiatives that create and capture more value.

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    Summary

    Companies across the globe are collecting huge volumes of data about their customers, operations, and performance—but data alone won't deliver competitive advantage. This big data analytics program explores the strategic opportunities presented by the explosion in data, and enables you to harness the power of big data to transform your company. You will acquire a firm grounding in data analytics and practical strategies for implementing data-focused initiatives that create and capture more value.

    Key Benefits
    To lead a digital transformation, you need to move data and analytics from the periphery of your organization to its center. This program guides you through that process, offering frameworks for developing data-savvy teams, breakthrough business models, and decision-making processes that create competitive advantage. You will learn how to build essential data collection and analysis capabilities that enable your company to improve operational efficiency and seize new market opportunities.

    DetailsCollapse All

    Apply big data and analytics to reshape your business model and operationsApply big data and analytics to reshape your business model and operations
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    • Draw on big data to inform your organization's long-term strategies
    • Use experimentation and predictive analysis to improve your business
    • Recruit and develop data-savvy talent who can take your company's data perspectives to the next level
    • Integrate algorithms and data analytics teams into decision-making processes and key functions across the organization, such as marketing, supply chain, human resources, and more
    Expand your personal and professional networkExpand your personal and professional network
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    • Extend your network by living and working with accomplished executives from various backgrounds, industries, and countries across the globe
    • Build relationships with a diverse group of peers who can provide wide-ranging insights into your business challenges and career decisions

    Key Benefits icon-dropdown-down

    Key Benefits icon-dropdown-down

    To lead a digital transformation, you need to move data and analytics from the periphery of your organization to its center. This program guides you through that process, offering frameworks for developing data-savvy teams, breakthrough business models, and decision-making processes that create competitive advantage. You will learn how to build essential data collection and analysis capabilities that enable your company to improve operational efficiency and seize new market opportunities.
    Details

    Apply big data and analytics to reshape your business model and operations

    • Draw on big data to inform your organization's long-term strategies
    • Use experimentation and predictive analysis to improve your business
    • Recruit and develop data-savvy talent who can take your company's data perspectives to the next level
    • Integrate algorithms and data analytics teams into decision-making processes and key functions across the organization, such as marketing, supply chain, human resources, and more

    Expand your personal and professional network

    • Extend your network by living and working with accomplished executives from various backgrounds, industries, and countries across the globe
    • Build relationships with a diverse group of peers who can provide wide-ranging insights into your business challenges and career decisions

    Who Should Attend

    • Senior managers who want to refine their skills in strategic data management and fact-based decision-making
    • Digital officers, technology officers, and individuals building and launching data science teams
    • Senior managers in marketing, supply chain, information technology, human resources, talent management, product development, operations, and other strategy-related functions
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    Who Should Attend

    • Senior managers who want to refine their skills in strategic data management and fact-based decision-making
    • Digital officers, technology officers, and individuals building and launching data science teams
    • Senior managers in marketing, supply chain, information technology, human resources, talent management, product development, operations, and other strategy-related functions

    Learning and Living at HBS

    When you participate in an Executive Education program on the HBS campus, you enter an immersive experience where every aspect of the learning model has been carefully designed to facilitate your growth. Your learning will take place on your own, in your living group, and in the larger classroom, driven by the renowned HBS case method.

    icon-dropdown-down icon-dropdown-up

    Learning and Living at HBS

    When you participate in an Executive Education program on the HBS campus, you enter an immersive experience where every aspect of the learning model has been carefully designed to facilitate your growth. Your learning will take place on your own, in your living group, and in the larger classroom, driven by the renowned HBS case method.

    Admissions Criteria and Process

    We admit candidates to specific sessions on a rolling, space-available basis, and encourage you to apply as early as possible. Although most programs have no formal educational requirements, admission is a selective process based on your professional achievement and organizational responsibilities.
    Read More
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    Answering Your Questions

    Our Program Advising team can help you at any stage of the admissions process—starting with identifying the program that best addresses your learning and development goals. Contact a program advisor via email or call 1.800.427.5577 (outside the U.S., call +1.617.495.6555).

    Application Submission

    We recommend that you apply at least four weeks before the program start date. You may use our online form or download an application. HBS maintains all application information in strict confidentiality. We acknowledge receipt of applications via email. In the unlikely event that you do not receive an acknowledgment, please email us at exed_admissions@hbs.edu or call us at +1.617.495.6226.

    Application Review

    To optimize the learning experience and maximize the exchange of ideas, our Admissions Committee makes selections that balance each participant's experience, scope of current responsibilities, and type of organization. HBS seeks candidates who reflect a broad range of industries, functions, countries, and backgrounds. We review applications monthly and will contact you via email with the Admissions Committee's decision.

    Fee, Payment, and Cancellations

    The program fee covers tuition, books, case materials, accommodations, and most meals. No payment is necessary until you have been accepted. Payment is required prior to the program start date. If you need to cancel or defer participation, you must submit your request in writing more than 30 days before the start of the program to receive a full refund. Cancellations or deferrals received 14 to 30 days prior to the start of the program are subject to a fee of one-half of the program fee. Requests received within 14 days are subject to full payment.

    Admissions Criteria and Process icon-dropdown-down

    Admissions Criteria and Process icon-dropdown-down

    We admit candidates to specific sessions on a rolling, space-available basis, and encourage you to apply as early as possible. Although most programs have no formal educational requirements, admission is a selective process based on your professional achievement and organizational responsibilities.

    Answering Your Questions

    Our Program Advising team can help you at any stage of the admissions process—starting with identifying the program that best addresses your learning and development goals. Contact a program advisor via email or call 1.800.427.5577 (outside the U.S., call +1.617.495.6555).

    Application Submission

    We recommend that you apply at least four weeks before the program start date. You may use our online form or download an application. HBS maintains all application information in strict confidentiality. We acknowledge receipt of applications via email. In the unlikely event that you do not receive an acknowledgment, please email us at exed_admissions@hbs.edu or call us at +1.617.495.6226.

    Application Review

    To optimize the learning experience and maximize the exchange of ideas, our Admissions Committee makes selections that balance each participant's experience, scope of current responsibilities, and type of organization. HBS seeks candidates who reflect a broad range of industries, functions, countries, and backgrounds. We review applications monthly and will contact you via email with the Admissions Committee's decision.

    Fee, Payment, and Cancellations

    The program fee covers tuition, books, case materials, accommodations, and most meals. No payment is necessary until you have been accepted. Payment is required prior to the program start date. If you need to cancel or defer participation, you must submit your request in writing more than 30 days before the start of the program to receive a full refund. Cancellations or deferrals received 14 to 30 days prior to the start of the program are subject to a fee of one-half of the program fee. Requests received within 14 days are subject to full payment.
    Program content, dates, fees, and faculty are subject to change. In accordance with Harvard University policy, Harvard Business School does not discriminate against any person on the basis of race, color, sex or sexual orientation, gender identity, religion, age, national or ethnic origin, political beliefs, veteran status, or disability in admission to, access to, treatment in, or employment in its programs and activities.

    What You Will Learn

    Through faculty presentations, global case studies, and small-group discussions, you will explore how market-leading companies are using customer data to reshape their capabilities, offerings, and industries—and gain competitive advantage. This big data analytics program begins with foundational concepts in data analysis and moves on to examine the strategic opportunities and challenges presented by big data. In the process, you will explore hot-button issues such as blockchain and predictive analytics.

    Key TopicsCollapse All

    Quantitative foundations: a two-day bootcampQuantitative foundations: a two-day bootcamp
    icon-dropdown-down
    • Building your knowledge of core analytics concepts
    • Understanding foundational topics such as machine learning pipelines, quantitative analysis, regression, data architecture, causation, and correlation
    • Collaborating with the CIO on data analysis strategies
    The strategic potential of big dataThe strategic potential of big data
    icon-dropdown-down
    • Comparing big data analytics with a traditional small data approach
    • Improving your company's data perspectives to create and capture more value
    • Exploring the data explosion in the "four Vs"—variety, velocity, veracity, and volume
    • Creating smart, connected products with the potential to reshape your company and industry
    • Building breakthrough business models based on data
    • Understanding the strategic implications of supply chain and marketing analytics
    • Recognizing and exploiting the difference between correlational and causal patterns
    The data-savvy organizationThe data-savvy organization
    icon-dropdown-down
    • Building data capabilities for competitive advantage
    • Attracting and developing data analytics teams
    • Implementing a digital transformation across the organization that builds customer trust and generates valuable data
    • Managing your company with real-time analytics to improve overall efficiency

    Key Topics icon-dropdown-down

    Key Topics icon-dropdown-down

    Quantitative foundations: a two-day bootcamp

    • Building your knowledge of core analytics concepts
    • Understanding foundational topics such as machine learning pipelines, quantitative analysis, regression, data architecture, causation, and correlation
    • Collaborating with the CIO on data analysis strategies

    The strategic potential of big data

    • Comparing big data analytics with a traditional small data approach
    • Improving your company's data perspectives to create and capture more value
    • Exploring the data explosion in the "four Vs"—variety, velocity, veracity, and volume
    • Creating smart, connected products with the potential to reshape your company and industry
    • Building breakthrough business models based on data
    • Understanding the strategic implications of supply chain and marketing analytics
    • Recognizing and exploiting the difference between correlational and causal patterns

    The data-savvy organization

    • Building data capabilities for competitive advantage
    • Attracting and developing data analytics teams
    • Implementing a digital transformation across the organization that builds customer trust and generates valuable data
    • Managing your company with real-time analytics to improve overall efficiency
    icon-dropdown-down icon-dropdown-up

    What You Will Learn

    Through faculty presentations, global case studies, and small-group discussions, you will explore how market-leading companies are using customer data to reshape their capabilities, offerings, and industries—and gain competitive advantage. This big data analytics program begins with foundational concepts in data analysis and moves on to examine the strategic opportunities and challenges presented by big data. In the process, you will explore hot-button issues such as blockchain and predictive analytics.

    Key TopicsCollapse All

    Quantitative foundations: a two-day bootcampQuantitative foundations: a two-day bootcamp
    icon-dropdown-down
    • Building your knowledge of core analytics concepts
    • Understanding foundational topics such as machine learning pipelines, quantitative analysis, regression, data architecture, causation, and correlation
    • Collaborating with the CIO on data analysis strategies
    The strategic potential of big dataThe strategic potential of big data
    icon-dropdown-down
    • Comparing big data analytics with a traditional small data approach
    • Improving your company's data perspectives to create and capture more value
    • Exploring the data explosion in the "four Vs"—variety, velocity, veracity, and volume
    • Creating smart, connected products with the potential to reshape your company and industry
    • Building breakthrough business models based on data
    • Understanding the strategic implications of supply chain and marketing analytics
    • Recognizing and exploiting the difference between correlational and causal patterns
    The data-savvy organizationThe data-savvy organization
    icon-dropdown-down
    • Building data capabilities for competitive advantage
    • Attracting and developing data analytics teams
    • Implementing a digital transformation across the organization that builds customer trust and generates valuable data
    • Managing your company with real-time analytics to improve overall efficiency

    Key Topics icon-dropdown-down

    Key Topics icon-dropdown-down

    Quantitative foundations: a two-day bootcamp

    • Building your knowledge of core analytics concepts
    • Understanding foundational topics such as machine learning pipelines, quantitative analysis, regression, data architecture, causation, and correlation
    • Collaborating with the CIO on data analysis strategies

    The strategic potential of big data

    • Comparing big data analytics with a traditional small data approach
    • Improving your company's data perspectives to create and capture more value
    • Exploring the data explosion in the "four Vs"—variety, velocity, veracity, and volume
    • Creating smart, connected products with the potential to reshape your company and industry
    • Building breakthrough business models based on data
    • Understanding the strategic implications of supply chain and marketing analytics
    • Recognizing and exploiting the difference between correlational and causal patterns

    The data-savvy organization

    • Building data capabilities for competitive advantage
    • Attracting and developing data analytics teams
    • Implementing a digital transformation across the organization that builds customer trust and generates valuable data
    • Managing your company with real-time analytics to improve overall efficiency

    Individual Project

    During the program, you will create a case study on your own company's data challenges and receive real-time feedback from faculty and peers.

    icon-dropdown-down icon-dropdown-up

    Individual Project

    During the program, you will create a case study on your own company's data challenges and receive real-time feedback from faculty and peers.

    The HBS Advantage

    Our Executive Education programs are developed and taught by HBS faculty who are widely recognized as skilled educators, groundbreaking researchers, and award-winning authors. Through their board memberships, consulting, and field-based research, they address the complex challenges facing business leaders across the globe

    Faculty Cochair

    John A. Deighton

    Harold M. Brierley Professor of Business Administration Emeritus. Member of the Marketing Unit; faculty cochair of "Competing on Business Analytics and Big Data."

    Read Full Bio

    Both challenges and opportunities are presented by the explosion in big data.

    Read More

    Karim R. Lakhani

    Charles Edward Wilson Professor of Business Administration. Member of the Technology and Operations Management Unit; and faculty cochair of "Competing on Business Analytics and Big Data."

    Read Full Bio

    Both challenges and opportunities are presented by the explosion in big data.

    Read More

    Faculty

    Yael Grushka-Cockayne

    Visiting Associate Professor of Business Administration.

    Read Full Bio

    Kris Johnson Ferreira

    Assistant Professor of Business Administration. Member of the Technology and Operations Management Unit.

    Read Full Bio

    Antonio Moreno

    Sicupira Family Associate Professor of Business Administration in the Technology and Operations Management Unit.

    Read Full Bio

    David C. Parkes

    George F. Colony Professor of Computer Science; Harvard College Professor.

    Read Full Bio

    Michael Parzen

    Senior Lecturer on Statistics and Co-Director of Undergraduate Studies.

    Read Full Bio

    Jeffrey T. Polzer

    UPS Foundation Professor of Human Resource Management. Chair of the PhD program in Organizational Behavior; and member of the Organizational Behavior Unit.

    Read Full Bio

    icon-dropdown-down icon-dropdown-up

    The HBS Advantage

    Our Executive Education programs are developed and taught by HBS faculty who are widely recognized as skilled educators, groundbreaking researchers, and award-winning authors. Through their board memberships, consulting, and field-based research, they address the complex challenges facing business leaders across the globe

    Faculty Cochair

    John A. Deighton

    Harold M. Brierley Professor of Business Administration Emeritus. Member of the Marketing Unit; faculty cochair of "Competing on Business Analytics and Big Data."

    Read Full Bio

    Both challenges and opportunities are presented by the explosion in big data.

    Read More

    Karim R. Lakhani

    Charles Edward Wilson Professor of Business Administration. Member of the Technology and Operations Management Unit; and faculty cochair of "Competing on Business Analytics and Big Data."

    Read Full Bio

    Both challenges and opportunities are presented by the explosion in big data.

    Read More

    Faculty

    Yael Grushka-Cockayne

    Visiting Associate Professor of Business Administration.

    Read Full Bio

    Kris Johnson Ferreira

    Assistant Professor of Business Administration. Member of the Technology and Operations Management Unit.

    Read Full Bio

    Antonio Moreno

    Sicupira Family Associate Professor of Business Administration in the Technology and Operations Management Unit.

    Read Full Bio

    David C. Parkes

    George F. Colony Professor of Computer Science; Harvard College Professor.

    Read Full Bio

    Michael Parzen

    Senior Lecturer on Statistics and Co-Director of Undergraduate Studies.

    Read Full Bio

    Jeffrey T. Polzer

    UPS Foundation Professor of Human Resource Management. Chair of the PhD program in Organizational Behavior; and member of the Organizational Behavior Unit.

    Read Full Bio

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