From Big Data to New Opportunities July 3-5, 2017 ( 3 - Day International Program) www.ie.edu/iepbgd Getting the Most from this Era of Information
Overview Big Data the great volume, velocity and variety of available data that can be obtained today is the current buzzword in business, promising the discovery of new value and opportunities and the optimization of processes. However, the proper implementation of Big Data efforts remains a huge challenge: the high degree of management and decision-making skills needed to sort through complex data and the scarcity of Big Data and business analytics professionals are only some of the hurdles businesses face on their way to using Big Data to their utmost advantage. Big Data for Business seeks to help participants dig through and extract the essentials of Big Data and mentor them in its effective and optimal use as a tool to facilitate growth in their respective organizations. While the program contains interactive lectures, group exercises are also to be held on each day of the course to ensure that participants already start their Big Data implementation plans and in addition present and test these plans before a panel of experts. 2 Program objectives The course aims to: 1. Help course attendees understand what Big Data is and how it can benefit their organizations, jumping into many examples derived from the most active markets today 2. Provide enough business, regulatory and technological background as to: A. Facilitate the launching of Big Data initiatives within their current organizations or launching new Big Data or analytics-based ventures. B. Encourage them to deepen in specific aspects of the business, technology or its applications to their industry C. Expand their managerial skill toolbox with the development of analytical capabilities This is not a technical course but a business course on Big Data and analytics. However, the course will cover some technology issues, as technology is a key driver in the Big Data and analytics business and as an understanding of the basic concepts and trends is needed. In the same vein, this approach is conceived and taught so that any interested person, irrespective of his/her former academic training, could easily follow the sessions and actively participate.
From Big Data to New Opportunities Getting the Most from this Era of Information PROGRAM TARGETS The program is designed for: Top level executives not familiar with Big Data or analytics: The program will help them understand the strategic importance of developing analytical and Big Data capabilities. Mid-level managers across all business lines who want to expand their views, develop managerial analytical capabilities, and learn the operational implications of launching Big Data and analytical initiatives. Technology suppliers who want to understand the trends in the business and spot new opportunities. Other parties interested in the optimal application of Big Data to boost organizational effectiveness. 3 Content The program adopts an industry wide perspective, i.e. tries to provide an overview of Big Data and analytics in many industries across multiple business lines. It will not only provide a description of Big Data initiatives in a certain industry, but also how can it be implemented from Marketing to Human Resources. The program combines both theoretical instruction with case studies and practical group exercises aimed to facilitate networking and provide attendees with the opportunity to work on their own Big Data initiatives during the course.
Structure Day 1: What is Big Data? Session 1: Understanding Big Data. Introduction to a new information rich context What is Big Data? Three V s for Big Data Differences between Big Data and traditional data manipulation How Big Data and analytics fit in an existing organization Session 2: How Big Data and analytics can transform your organization Where can value be created? What are the business opportunities? Example of successful Big Data initiatives Sources of competitive advantage from application of Big Data and analytics Sessions 3 & 4: Overview of a Big Data platform Open source stack (Apache Hadoop, Apache HBase, mongo DB, Hive etc ) Commercial Big Data and analytics tools Session 5: Group Exercise Groups will discuss among themselves the lessons taught during the day and apply the learning by working on a Big Data idea 4 Day 2: Big Data Projects in practice. Do s and Don ts Session 6: Panel discussion A panel of experts from Big Data companies are invited to tackle relevant issues and share their experience in the field Session 7: Conceptual model for analytical thinking Overview of the six steps to structure analytics - Problem recognition - Review of previous findings - Modeling - Data collection - Data analysis - Results presentations and action Session 8: Introduction to Data Science and designing big data experiments Avoiding survivor bias Over-fitting problems Sampling requirements Session 9: Managing data privacy and governance Session 10: Group Exercise Groups will reunite to develop the implementation roadmap of their Big Data idea
From Big Data to New Opportunities Getting the Most from this Era of Information Day 3: The Future of Big Data Session 11: Presentations Participants are to present their ideas and implementation strategies developed during the previous days group exercises to a panel of experts Session 12: Change Management in Big Data Reorganizing your company s decision making Change management strategies for Big Data Session 13: The Future of Big Data Market trends True Big Data analytics Even bigger data Session 14: Wrap-up Painting the full picture of Big Data and analytics coming from the topics taken up throughout the course Key takeaways Moving forward with the action plans Recommendations - What to consult for a deeper understanding of a certain technology or area - What to read, what association to join, etc. to be always up-to-date in this sector - Effective first steps into Big Data 5
FACULTY Ignacio Larrú Martínez Ignacio is an Adjunct Professor of Entrepreneurship and Big Data at IE Business School. He is an Analytics Consultant and is also currently the Vice President of Credit Agricole CIB. He is moreover the Founder of Ll Ventures, and previously worked at PricewaterhouseCoopers as IT Consultant. He studied Telecommunications Engineering at the Polytechnic University of Madrid and holds an MBA degree from IESE Business School. Enrique Dans 6 Enrique Dans has been a Professor of Information Systems at IE since 1990. He holds an MBA from IE and a doctorate in Systems Information from UCLA, and did his postdoctoral studies at Harvard Business School. In his work as a researcher, communicator and consultant, he studies the effects of technology on people, businesses and society as a whole. Enrique also does consultancy work for several startups and companies, and is a regular contributor to international press. He writes daily for over twelve years in his personal blog, enriquedans.com, one of the world s most popular blogs in the Spanish language. Aurelie Pols Aurélie pioneered Digital analytics in Europe. This allowed her to co-found OX2 in Belgium, and Mind Your Group in Spain. She now works as an independent consultant, defining data flows and supporting companies in their risk exercises to determine potential data liabilities. She speaks at events such as emetrics, O Reilly s Strata, Webit and the International Association of Privacy Professionals. Aurélie teaches Digital Analytics and Ethics & Privacy at IE Business School. Jose Esteves Jose has worked as a full-time IE professor of Information Systems since 2004, focusing on areas such as knowledge management, the implementation of enterprise systems, and enterprise risk management. Jose also has a wealth of experience in the corporate world as an analyst and consultant for companies such as Ciba-Geigy and Sonae Group. Moreover, he is chair of egovernment Software AG- Alianza Sumaq, which analyzes egovernment initiatives in Spain and Latin America.
From Big Data to New Opportunities Getting the Most from this Era of Information Carlos del Cacho Carlos del Cacho works as data scientist in JobandTalent, one of Spain s leading startup companies trying to develop predictive algorithms to match job seekers and job offers. Carlos has more than 10 years of experience in developing machine learning and data science based projects for Spain s largest companies like Indra. He holds a Computer Science degree and has a master in Artificial Intelligence Jose Curto As a research analyst, Jose Curto provides strategic, tactical and operational insights for managing IT efficiently. With a strong background in operational and academic research, he covers the European IT industry identifying the main market trends, assisting in making forecasts and models and writing reports. As co-founder of Questionity, he provides advice on the efficient and effective value generation from data. Jose holds an MBA from IE, a Master in Business Intelligence and in IT Management from Universitat Oberta de Catalunya, and a BA in mathematics from the Universitat Autonoma de Barcelona. 7 Guest speakers Representatives from top companies that excel in their use of Big Data will be invited for the presentations, panel discussions and networking.
8 FOR FURTHER INFORMATION please contact Jeanette Holyoak Associate Director of Admissions Jeanette.holyoak@ie.edu +34 91 568 9758 www.ie.edu/iepbgd
Why IE BUSINESS SCHOOL From Big Data to New Opportunities Getting the Most from this Era of Information Ranked No. 1 in Europe, IE Business School is dedicated to educating business leaders through programs based on its core values of: entrepreneurial spirit: Founded in 1973 by entrepreneurs for entrepreneurs, IE places the entrepreneurial and innovative mindset at the heart of its programs, and is home to many startup initiatives such as the Venture Lab, the Spain Startup & Investor Summit, and Wayra. Diversity and global focus: With about 100 nationalities making up its student body, IE provides business education with a global perspective. It supports talent from all over the world from admission to graduation and beyond, and through its Diversity and Equality Commission and its Center for Diversity. humanities and social responsibility: As Secretariat of the United Nations Global Compact in Spain, IE places positive social impact at the forefront with its Corporate Social Responsibility programs and expert faculty in areas of social entrepreneurship and microfinance, among others. It is also the proud birthplace of organizations such as Net Impact and Emzingo Group. IE Business School is certified by the three most important academic accrediting bodies in the world, guaranteeing high quality and academic rigor in all of its programs. 9 IE Executive Education programs equip managers, entrepreneurs, and leaders with the latest tools, best practices, and skills through interactive and practical sessions. Our programs are designed to enable executives to excel amidst the many and varied challenges they face both today and in the future. www.ie.edu/es/executive-education/ IE Business School is recognized by international press as one of the world s top Business Schools. Online MBA Programs 1 st worldwide March 2016 European Business School 5 th worldwide December 2015 Master in Finance 3 rd worldwide June 2016 Executive MBA Programs 1 st worldwide October 2015 Global MBA Programs 3 rd worldwide May 2015 Non American Business School 4 th worldwide October 2014 MBA Non American Business School 5 th worldwide October 2014 www.ie.edu/rankings
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