From Big Data to Big Profits

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Big Data to Big Profits

From Big Data to Big Profits:
Strategies for Monetizing Social, Mobile and Digital Data

Barcelona, July 6-7, 2017

Faculty

    Miguel Angel Ariño
    Professor of Managerial Decision Sciences
    Ph.D. in Mathematical Sciences, Universitat de Barcelona

    Miguel Ángel Ariño is a visiting professor in international institutions such as the China Europe International Business School and Hong Kong University of Science and Technology Business School. Specialized in decision-making and organizational governance, Prof. Ariño has published articles in both academic and mainstream magazines. He is the author of a book on management decision making (2005) and co-author of the book on how to avoid risks in decision-making (2010).
rusell-walker.jpg
    Russell Walker
    Clinical Associate Professor at the Kellogg School of Management
    PhD, Cornell University
    MS, Cornell University
    Executive MBA, Kellogg School of Management

    Russell Walker helps companies develop strategies to manage risk and harness value through data analytics and big data. As Professor at the Kellogg School of Management, and former Associate Director of the Zell Center for Risk Research, Dr. Walker has taught executive programs on big data and analytics, strategic data-driven marketing, enterprise risk, operational risk, and global leadership. He has been recognized as a thought leader by many organizations, including the International Institute of Analytics, Onalytica, and the Harvard Business Review. (russellwalkerphd.com).

    Miguel Ángel Canela
    Associate Professor of Managerial Decision Sciences
    PhD in Mathematics, Universitat de Barcelona

    Before joining IESE in 2009, he was a professor at the Department of Applied Mathematics and Analysis of that university and a part-time professor of the Ph. D. Program at IESE. He also worked many years as a consultant at Institut Català de Tecnologia, and actually teaches Statistics and Data Science at IESE. Prof. Canela has coauthored three books and his research papers cover a wide range of applications, from Management Science to Biochemistry, but, nowadays, his focus is put on Data Science and its applications to business.
    Inés Alegre
    Assistant Professor of Managerial Decision Sciences
    Phd in Management, IESE Business School, University of Navarra
    Master of Research in Management, IESE Business School, University of Navarra
    Industrial engineering, Escola Superior d'Enginyeria Industrial de Barcelona, Universitat Politècnica de Catalunya (UPC)

    Before joining IESE, she was an assistant professor at the Universitat Internacional de Catalunya and at the Universitat Politècnica de Catalunya. Prof. Alegre’s research focuses on new organizational forms in the sharing economy such as collaborative consumption platforms, crowdsourcing, crowdfunding and social enterprises. She teaches decision analysis and quantitative methods.

Contact

IESE Business School
Executive Education