DAY 1MONDAYJune 27, 2016

AGENDA

08.45 PROGRAM WELCOME

09.00 – 10.30 UNDERSTANDING BIG DATA Introduction to a new information rich contextProf. Ignacio Larrú

10.30 – 11.00 COFFEE BREAK

11.00 – 14.00 HOW BIG DATA AND ANALYTICS CAN TRANSFORMYOUR ORGANIZATION Seven profitable business models in Big DataProf. Sokho Trinh

14.00 – 15.00 LUNCH BREAK

15.00 – 17.00 OVERVIEW OF A BIG DATA PLATFORM Apache Hadoop, MongoDB, Hive, Giraffe, etcProf. Jose Curto

17.00 – 18.00 GROUP EXERCISE 1Develop a Big Data idea for your organizationProf. Ignacio Larrú

BIG DATA FOR BUSINESSIMPLEMENT AND USE BIG DATA TO YOUR ORGANIZATION’S ADVANTAGE

CLASSROOM: S-003

DAY 2TUESDAYJune 28, 2016

AGENDA

09.00 – 10.30 PANEL DISCUSSIONA panel of experts from Big Data companies are invited to tackle relevant Issues and share their experience in the field

10.30 – 11.00 COFFEE BREAK & NETWORKING

11.00 – 14.00 CONCEPTUAL MODEL FOR ANALYTICAL THINKINGSix steps to quantitative analysisProf. Ignacio Larrú

14.00 – 15.00 LUNCH BREAK

15.00 – 16.30 INTRODUCTION TO DATA SCIENCE Designing Big Data experiments Prof. Carlos del Cacho

16.30 – 17.30 CHANGE MANAGEMENT IN BIG DATA Avoiding chaotic disruption in your organizationProf. Ignacio Larrú

17.30 – 18.30 GROUP EXERCISE 2Develop the implementation of your Big Data ideaProf. Ignacio Larrú

BIG DATA FOR BUSINESSIMPLEMENT AND USE BIG DATA TO YOUR ORGANIZATION’S ADVANTAGE

CLASSROOM: S-003

DAY 3WEDNESDAYJune 29, 2016

AGENDA

09.00 – 10.30 PRESENTATIONSParticipants are to present their ideas and implementation strategies developed during the previous days' group exercises to a panel of experts

10.30 – 11.00 COFFEE BREAK & NETWORKING

11.00 – 12.30 INTERNET OF THINGS It is a sensor worldProf. Ignacio Larrú

12.30 – 14.00 THE FUTURE OF BIG DATA Future Big Data applications and challenges for analytic based enterprisesProf. Enrique Dans

14.00 – 15.00 LUNCH BREAK

15.00 – 16.30 MANAGING PRIVACY AND DATA GOVERNANCE, A RISK BASED APPROACHData, as a very special kind of asset, is redefining business models as well as legal and ethical boundaries. Discover which risk based approaches are emerging to reap the promised benefits while hedging against increased liabilitiesProf. Aurelie Pols

16.30 – 17.00 WRAP-UP, KEY TAKEAWAYS AND NEXT STEPS Prof. Ignacio Larrú

BIG DATA FOR BUSINESSIMPLEMENT AND USE BIG DATA TO YOUR ORGANIZATION’S ADVANTAGE

CLASSROOM: S-003