big data: hacking complexity - digital for business

BIG DATA: HACKING COMPLEXITY

Leonardo Camiciotti / Christian Racca TOP-IX May 2013

@pendolare@i_realize@digital_fest#BIGDIVE2013

Christian RaccaDesign Engineer @ TOP-IX

Leonardo CamiciottiDevt. Program Manager @ TOP-IX

#BIGDATA

Data is the new oil. Big data is different1. Big data is a management revolution2. Big data is the next frontier for innovation,competition, and productivity3. Big data makes the scientific method obsolete4.

BIG DATA IS HYPE

TOP-IX / DIGITAL FESTIVAL 2013

WHAT LIES BEYOND THE


PEAK OF EXPECTATION ?

A complex system is a system composed of interconnected parts that as a whole exhibit one or more properties (behavior among the possible properties) not obvious from the properties of the individual parts. [Wikipedia]

LET’S JUMP INTO SCIENCE


WE LIVE IN A WORLD OF COMPLEX SYSTEMS

(AND WE ARE PART OF IT)


BUT WE KNOW BY CREATING AND CONNECTING SINGLE FRAGMENTS OF REALITY


BIG DATA (REVOLUTION) IS MAKING EXPLICIT INTRINSIC COMPLEX TEXTURES AND BEHAVIOURS

writing printing digitalizationTOP-IX / DIGITAL FESTIVAL 2013


THE SCIENTIFIC CHALLENGE IS NOW TO CREATE MEANINGFUL MOSAICS BY MASTERING DIGITAL DATA.

BIG DATA IS TOO BIG TO IGNORE


WHY NOW?


FORCESHPC / High Performance ComputingCloudOpen SourceStorage cost reductionThe rise of Data Science

SOURCESThe always-on consumerSocial NetworksThe Open Data movementSmart Cities monitoringKnowledge digitalization process

BIG DATABusiness intelligence

Energy Public Administration

Education

Crime

Logistics

Internet of things

Finance


WITH ENOUGH DATA, THE NUMBERS SPEAK FOR THEMSELVES (CHRIS ANDERSON)

DEMYSTIFYING BIG DATA


TRUE

FALSE

DATAIS NOT A BUSINESS MODEL



TRUE

FALSE

BIG DATA IS ABOUT THE SIZE OF THE DATASET



TRUE

FALSE

BIG DATA CAN CONNECT DATAAND DECISIONS



TRUE

FALSE

It took 50 years for organization to fully leverage transaction systems... we can't imagine that data revolution happens in a while.

40% of major business decisions are based on instinct and not on data - Accenture study

REVOLUTIONS TAKE TIME


BIG DATA NEEDS

STANDARDS/COLLABORATIONGOVERNMENT SUPPORTLOTS OF STARTUPSDATA SCIENTISTS

DEVELOPMENT

VISUALIZATION

SCIENCE


BIG DIVE 2012

FIRST EDITION HIGHLIGHTS

8 DIFFERENT NATIONALITIES 90% OF DIVERS RECOMMEND BIG DIVE

20 DIVERS

THE

END

1 Thomas H. Davenport, Paul Barth, and Randy Bean. “How Big Data is Different," MIT Sloan Management Review, July 30, 2012 2 Andrew McAfee and Erik Brynjolfsson. “Big Data: The Management Revolution”, Harvard Business Review, Octo- ber 2012 3 “Big Data: The Next Frontier for Innovation, Competition, and Productivity,” McKinsey Global Institute.>.4 Chris Anderson. “The End of Theory: Big Data Makes the Scientific Method Obsolete,” Wired, June 2008.

BOOKThe Business Case for Big Data by Phil Simon. Published by John Wiley & Sons, March 2013.

PAPERToo Big to Ignore by By James Guszcza, David Steier, John Lucker, Vivekanand Gopalkrishnan, Harvey Lewis Published January 31, 2013

USEFUL LINKShttp://blogs.gartner.com/svetlana-sicular/big-data-is-falling-into-the-trough-of-disillusionment/http://wikibon.org/blog/big-data-infographics/

VIDEOShttp://www.google.com/glass/start/how-it-feels/

http://wikibon.org/blog/big-data-infographics/

http://wikibon.org/blog/big-data-infographics/

http://www.google.com/glass/start/how-it-feels/

http://www.google.com/glass/start/how-it-feels/