BIG DATA IN BUSINESS Implement and use Big Data to your organization s advantage 3-Day International Executive Program October 8-10, 2014, Wednesday-Friday Madrid, Spain
BIG DATA IN BUSINESS Implement and use Big Data to your organization s advantage Location: IE Business School Campus in Madrid, Spain Duration: October 8-10, 2014, Wednesday-Friday 3 days, 9am to 6pm Investment: 3.900 2 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 in 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. Program objectives The course aims to: 1) Aid 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.
Big Data In Business 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 initiative 4 Day 2: Big Data Projects in practice. Do s and Don ts Session 6: Group Exercise The groups will present their Big Data initiatives to a panel of experts, who will provide valuable feedback to better ensure their projects success in the real world. 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: Operational aspects of implementing a Big Data initiative Potential disruption in the organization Getting senior buy-in Recruiting Data Scientists IT or Business line department? Privacy and regulatory concerns for Big Data Session 9: Designing Big Data experiments Avoiding survivor bias Over-fitting problems Sampling requirements Session 10: Group Exercise Groups will reunite to further develop their Big Data initiatives with the materials discussed within the day in order to produce a roadmap for the implementation of their initiatives Day 3: The Future of Big Data Session 11: Group Exercise The groups will present their Big Data initiatives again to a panel of experts, who will provide valuable feedback to better ensure their projects success in the real world. 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 Session 15: Networking
Big Data In Business FACULTY (List to be updated) Ignacio Larrú Martínez Program Director Associate Professor at IE Business School & IE University Analytics Consultant Founder of Ll Ventures; formerly Vice President at Crédit Agricole and IT consultant at PriceWaterhouseCoopers Early-stage venture investor in technology start-ups Executive Master in Business Administration, IESE Business School Álvaro Méndez Expert in Data Mining and Predictive Analytics Business Analytics Engagement Manager at IBM; formerly Senior Consultant at SPSS and Market Analyst at Coca-Cola Microsoft Certified Solution Developer, London Econometrics Lecturer at Universidad Autónoma de Madrid and Statistics Coach at Georgia Tech Institute 5 Fabrizio Salvador Professor of Operations Management at IE Visiting Professor, Massachusetts Institute of Technology (MIT); founding member, MIT Smart Customization Group; Adjunct Professor, MIT-Zaragoza Logistics Program Consultant and coach to multinational companies including AstraZeneca, DHL, IBM, John Deere, Nokia, Oracle, Permasteelisa, Tetrapack, ThyssenKrupp Elevators, and Xerox Author of award-winning research published in the MIT Sloan Management Review, Journal of Operations Management, Production and Operations Management, and Decision Sciences Journal Expert in how organizations can create structures, processes and work practices that foster flexibility and adaptability Guest speakers Representatives from top companies that excel in their use of Big Data will be invited for the presentations, panel discussions and networking.
Details REGISTRATION You may register online by going to our website: www.ie.edu/ internationalprograms, proceeding to the program s webpage, and clicking on the Register now button on the right-hand side. Once your registration is received, you will be contacted by IE staff to confirm your enrollment. FEES The program investment is 3.900, which covers tuition, course materials, and all coffee breaks and lunches for all three days of the program. Special Concessions Concessions are available for IE alumni, groups of executives attending from the same organization, participants registering for more than one program, early-bird inscriptions, and other cases. CONTACT 6 Krysta Martínez International Executive Programs Manager krysta.martinez@ie.edu Tel.: +34 91 568 95 70
Big Data In Business Why IE BUSINESS SCHOOL 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 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. 7 www.ie.edu/internationalprograms 1 st Europe: Business School (December 2013) 1 st Worldwide: Online MBA programs (March 2014) 3 rd Worldwide: Business School in Finance (June 2013) 1 st Worldwide: Online International Executive MBA (February 2010) 5 th Worldwide: Executive Education (October 2011) 1 st Europe: Business School (November 2011) 3 rd Worldwide: Business School International Programs (November 2012) 5 th Worldwide: Executive Education In-company Programs (November 2011) 3 rd Worldwide: Business School - MBA (August 2011) 3 rd Worldwide: Sustainability & Ethics Ranking (September 2011)
INTERNATIONAL EXECUTIVE PROGRAMS Program Portfolio (List is subject to change) SKILLS DEVELOPMENT Innovative Leadership Executive Negotiation Workshop Communication Skills and Public Speaking Workshop Leading Project-Driven Organizations Leading Change and Innovation FINANCE Finance and Accounting Workshop for Non-Financial Managers Corporate Finance Venture Capital Private Equity Islamic Finance SPECIALIZED MANAGEMENT Management Fundamentals for Scientists and Researchers Effective Management for Security Professionals China: An Inside View The Digital Tourism Business SOCIAL IMPACT SERIES The Global Renewable Energy Business Frugal Innovation Financial Inclusion Contacts Visit our website where you can also download the program brochures: www.ie.edu/internationalprograms Or contact our International Executive Program Managers: Krysta Martinez Karolina Cintron Krysta.Martinez@ie.edu Karolina.Cintron@ie.edu +34 91 568 95 70 +34 91 568 96 69 Follow us on: IE BusinessSchool Executive Education @IEExecEducation IE Business School Executive Education IE Executive Education IE Business School Executive Education Pinar 18. 28006 Madrid. Spain. EU Tel.: +34 91 568 96 00 Fax: +34 91 568 96 18 www.ie.edu/internationalprograms