Every body talks about Big Data, but why? Do it create value? Do it enable some paradigmatic shifts in the way we work with data? This talk I did at ComoNext research and technological park cast some light on those questions.

1. Big Data:
how to use it to create value
Emanuele Della Valle
@manudellavalle
h9p://emanueledellavalle.org

2. Agenda
• Why now?
• Its value
• What is it?
• Paradigm shiCs enabled
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3. Why now? 1/3
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4. Why now? 2/3
[source: h9p://www.intel.com/newsroom/bigdata/]
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5. Why now? 3/3
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1 TB : = 1 ZB : the great wall

6. Its value 1/4
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7. Its value 2/4
[source: McKinsey, 2011]
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healthcare
Public
AdministraTons
Personal locaTon

8. Its value 3/4
[source: McKinsey, 2011]
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margin
jobs
skills

9. Its value 4/4
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[source: McKinsey, 2016]

10. Wrapping up … a widening gap
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Intensity
90's 2000's 2010's 2020's
Data Availability
Execution Capability
Analytical Capability
Widening Gap

11. … so what's Big Data?
[source: IBM, 2012]
Analysis of the answers of
1144 responders from
organizaTons that run Big
Data projects
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12. CharacterisTcs 1/5
[source: IBM, 2012]
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13. CharacterisTcs 2/5
[source: IBM, 2012]
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14. CharacterisTcs 3/5
[source: IBM, 2012]
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15. CharacterisTcs 4/5
[source: IBM, 2012]
the one certainty about uncertainty
is that it is not likely to go away
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16. CharacterisTcs 5/5
[source: IBM, 2012]
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17. Paradigm ShiCs Enabled 1/4
[source: Marc Andrews, 2014]
Leverage more of the data being captured
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18. Paradigm ShiCs Enabled 1/4
[source: Marc Andrews, 2014]
Leverage more of the data being captured
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19. Paradigm ShiCs Enabled 1/4
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20. Paradigm ShiCs Enabled 2/4
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Reduce effort required to leverage data
[source: Marc Andrews, 2014]

21. Paradigm ShiCs Enabled 2/4
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Reduce effort required to leverage data
[source: Marc Andrews, 2014]

22. Happily inside a bo9le of
Heineken beer @ the Heineken Magazzini
#heinekendesignweek
Event
Milan Design Week
Event
Heineken Design Week
Loca*on
The Magazzini
hosts
has loca)on
J
Paradigm ShiCs Enabled 2/4 Knowledge Graph
W
Company
Heineken
W
Drink
beer
produces
organized by
Wide as open data As deep as your DB can make it
Example of reduce effort required to leverage data
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23. Paradigm ShiCs Enabled 2/4
Coca cola
Parinne
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Another example of reduce effort required to leverage data

24. Paradigm ShiCs Enabled 3/4
Data-driven exploraTon looking for correlaTon
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[source: Marc Andrews, 2014]

25. Paradigm ShiCs Enabled 3/4
Data-driven exploraTon looking for correlaTon
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[source: Marc Andrews, 2014]

26. Paradigm ShiCs Enabled 3/4
When the series House of Cards
began shopping around for a
home, Ne:lix aggressively
jumped on it, outbidding major
cable networks with a massive
two-season order.
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Example of Data-driven exploraTon looking for correlaTon

27. • By analyzing its data, Nejlix saw that a
large majority of its viewers enjoy
programs :
– directed by David Fincher (who directed
Se7en, Fight Club and The Social Network)
– starring Kevin Spacey.
• House of Cards was exactly that!
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Paradigm ShiCs Enabled 3/4
Example of Data-driven exploraTon looking for correlaTon

28. Paradigm ShiCs Enabled 4/4
Leverage data as it is captured
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[source: Marc Andrews, 2014]

29. Paradigm ShiCs Enabled 4/4
Leverage data as it is captured
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[source: Marc Andrews, 2014]

30. Paradigm ShiCs Enabled 4/4
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31. Wrapping up … the "Data Lake"
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[source: h9ps://soluTonsreview.com/data-integraTon/the-emergence-of-data-lake-pros-and-cons/ ]

32. Wrapping up … the "Data Lake"
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[source: h9ps://twi9er.com/CamSemanTcs/status/815273814087127041 ]

33. Credits
• Big Data: the next fronTer for innovaTon, compeTTon, and producTvity.
McKinsey Global InsTtute. May, 2011.
– h9p://www.mckinsey.com/insights/business_technology/big_data_the_next_fronTer_for_innovaTon
• AnalyTcs: The real-world use of big data. IBM InsTtute for Business Value In
collaboraTon with Saïd Business School at the University of Oxford. 2012
– h9p://www-03.ibm.com/systems/hu/resources/the_real_word_use_of_big_data.pd
• Big Data & AnalyTcs: Next GeneraTon Architecture and CapabiliTes. Marc
Andrews, 2014
– h9ps://www.ibm.com/partnerworld/wps/servlet/RedirectServlet?cmsId=isv_ast_smp_ecosystem-
webcasts&a9achmentName=Data_Warehouse_deck.pdf
• Big Data for Media. Martha L. Stone. REUTERS INSTITUTE for the STUDY of
JOURNALISM, Oxford University, 2014
– 9p://reutersinsTtute.poliTcs.ox.ac.uk/publicaTon/big-data-media
• Wimbledon fans love real-Tme analyTcs. IBM AnalyTcs, 2015
– h9p://www.ibmbigdatahub.com/presentaTon/wimbledon-fans-love-real-Tme-analyTcs
• The Age Of AnalyTcs: CompeTng In A Data-driven World. McKinsey, 2016
– h9p://www.mckinsey.com/business-funcTons/mckinsey-analyTcs/our-insights/the-age-of-
analyTcs-compeTng-in-a-data-driven-world
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34. Thank you!
Any QuesTon?
Emanuele Della Valle
@manudellavalle
h9p://emanueledellavalle.org