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Dr. Richard Benjamins
Director Business Intelligence
Telefonica Digital
Big Data – Big opportunities – Big risks?
An industry perspective
And what about the Semantic Web?
Telefonica
Digital
© 2013
01
02
03
04
05
Index
The Big Data opportunity
What is Big Data?
Big Data risks
What role can
businesses play?
06
Context: Telefonica
Digital
Conclusions
07
And what about The
Semantic Web?
3Telefonica Digital
Telefonica Digital is Telefonica’s digital arm
01
4Telefonica Digital
The Big Data Opportunity
McKinsey McKinsey
02
Big Data
Big Business
5Telefonica Digital
But also society will benefit from big data
02
6Telefonica Digital
And data keeps growing exponentially
02
7Telefonica Digital
But what is Big Data
Dave Feinleib, Forbes blog
03
1. Big Data is Only About Massive Data Volume
2. Big Data Means Hadoop
3. Big Data Means Unstructured Data
4. Big Data is for Social Media Feeds and Sentiment
Analysis
5. NoSQL means No SQL
Gartner’s Hype Cycle: technologies, use cases,
new sources of data
8Telefonica Digital
A closer look at where Big Data sits
From a telco perspective
Type of Big
Data
OTT/Telco Cost of data
collection
By product/
seeking
Batch/real-
time
Strength of
telco?
Social media OTT Low Active Both No
Web logs Both Low Passive Both No
Network data
(telco)
Telco High Passive Both Yes
M2M (sensor)
data
Both High Active Both Might
Open data OTT Low Both Batch No
Transact. data Both Medium Passive Both No
03
9Telefonica Digital
But be aware of the privacy time bomb
Three Mile Island accident
killed the nuclear industry in
the US
Regulators are watching
Data “scandals” abound
“It’s Tracking Your Every Move and You May Not Even Know”
“Betrayed by our own data”
04
10Telefonica Digital
There is increasing awareness of what customer data
companies store
04
11Telefonica Digital
And not only companies …
04
12Telefonica Digital
Are you aware where your data is going?
04
13Telefonica Digital
The industry is learning by doing
04
14Telefonica Digital
Society is also evolving, but in what direction?
Ignorance
• Customers are largely unaware of
what is happening
Trading
• Customers make an explicit trade-off
for each service
Wanting?
• Are customers wanting organizations
to use their (personal) data to improve
their lives?
Key evolving data concepts:
• Individual, aggregated, anonymized
• Customer consent (ex/implicit – opt-in/out)
• Legal ≠ accepted by society
04
15Telefonica Digital
PI Economy“Big Data”“Old wine in new bottles”
So how can businesses play in the Big Data space?
Different “business” models with different maturities and different risks
05
Leverage data to
understand and
improve business
(x/up sell, churn)
and products
Data = improved
business
Recognize that
digital data is
delicate (privacy)
Turn that into an
opportunity
Data = risk =
business
Insights that help
improve
businesses and
governments
Data = business
Leverage data for
targeting users
with relevant ads
and higher CTR
and conversion
Data = better
advertising
M2M
Smart cities
Improve
services
Advertising Access to
insights
Become a
gatekeeper of
personal data
16Telefonica Digital
Conclusions
Find your position on three key dimensions
“Bigness” of data
Value
“Bigness” of data “Bigness” of data
Privacyrisk
Nativebigdatatechnology
Apps
Insights
Processed
data
Raw data
Anonymous data
06
17Telefonica Digital
And what about the Semantic Web and Big Data?
18Telefonica Digital
Achievements - 2013 – Is semantic web mainstream?
19Telefonica Digital
Some trends related to Semantic Web
20Telefonica Digital
Semantic web and data trends
21Telefonica Digital
Is Semantic Web hopping on the latest band wagons?
Semantic search
Semantic integration
Open data
Big data
22Telefonica Digital
Semantic Web and Gartner’s Hype Cycles
23Telefonica Digital
2006 – 5 to 10 years for reaching mainstream
24Telefonica Digital
2009 – more than 10 years to go
25Telefonica Digital
2012 – more than 10 years to go
26Telefonica Digital
So what should be the role of Semantic Web in Big Data
such that it can have a real impact?
=
+
Big Data and the Semantic Web

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Big Data and the Semantic Web

  • 1. Dr. Richard Benjamins Director Business Intelligence Telefonica Digital Big Data – Big opportunities – Big risks? An industry perspective And what about the Semantic Web? Telefonica Digital © 2013
  • 2. 01 02 03 04 05 Index The Big Data opportunity What is Big Data? Big Data risks What role can businesses play? 06 Context: Telefonica Digital Conclusions 07 And what about The Semantic Web?
  • 3. 3Telefonica Digital Telefonica Digital is Telefonica’s digital arm 01
  • 4. 4Telefonica Digital The Big Data Opportunity McKinsey McKinsey 02 Big Data Big Business
  • 5. 5Telefonica Digital But also society will benefit from big data 02
  • 6. 6Telefonica Digital And data keeps growing exponentially 02
  • 7. 7Telefonica Digital But what is Big Data Dave Feinleib, Forbes blog 03 1. Big Data is Only About Massive Data Volume 2. Big Data Means Hadoop 3. Big Data Means Unstructured Data 4. Big Data is for Social Media Feeds and Sentiment Analysis 5. NoSQL means No SQL Gartner’s Hype Cycle: technologies, use cases, new sources of data
  • 8. 8Telefonica Digital A closer look at where Big Data sits From a telco perspective Type of Big Data OTT/Telco Cost of data collection By product/ seeking Batch/real- time Strength of telco? Social media OTT Low Active Both No Web logs Both Low Passive Both No Network data (telco) Telco High Passive Both Yes M2M (sensor) data Both High Active Both Might Open data OTT Low Both Batch No Transact. data Both Medium Passive Both No 03
  • 9. 9Telefonica Digital But be aware of the privacy time bomb Three Mile Island accident killed the nuclear industry in the US Regulators are watching Data “scandals” abound “It’s Tracking Your Every Move and You May Not Even Know” “Betrayed by our own data” 04
  • 10. 10Telefonica Digital There is increasing awareness of what customer data companies store 04
  • 11. 11Telefonica Digital And not only companies … 04
  • 12. 12Telefonica Digital Are you aware where your data is going? 04
  • 13. 13Telefonica Digital The industry is learning by doing 04
  • 14. 14Telefonica Digital Society is also evolving, but in what direction? Ignorance • Customers are largely unaware of what is happening Trading • Customers make an explicit trade-off for each service Wanting? • Are customers wanting organizations to use their (personal) data to improve their lives? Key evolving data concepts: • Individual, aggregated, anonymized • Customer consent (ex/implicit – opt-in/out) • Legal ≠ accepted by society 04
  • 15. 15Telefonica Digital PI Economy“Big Data”“Old wine in new bottles” So how can businesses play in the Big Data space? Different “business” models with different maturities and different risks 05 Leverage data to understand and improve business (x/up sell, churn) and products Data = improved business Recognize that digital data is delicate (privacy) Turn that into an opportunity Data = risk = business Insights that help improve businesses and governments Data = business Leverage data for targeting users with relevant ads and higher CTR and conversion Data = better advertising M2M Smart cities Improve services Advertising Access to insights Become a gatekeeper of personal data
  • 16. 16Telefonica Digital Conclusions Find your position on three key dimensions “Bigness” of data Value “Bigness” of data “Bigness” of data Privacyrisk Nativebigdatatechnology Apps Insights Processed data Raw data Anonymous data 06
  • 17. 17Telefonica Digital And what about the Semantic Web and Big Data?
  • 18. 18Telefonica Digital Achievements - 2013 – Is semantic web mainstream?
  • 19. 19Telefonica Digital Some trends related to Semantic Web
  • 21. 21Telefonica Digital Is Semantic Web hopping on the latest band wagons? Semantic search Semantic integration Open data Big data
  • 22. 22Telefonica Digital Semantic Web and Gartner’s Hype Cycles
  • 23. 23Telefonica Digital 2006 – 5 to 10 years for reaching mainstream
  • 24. 24Telefonica Digital 2009 – more than 10 years to go
  • 25. 25Telefonica Digital 2012 – more than 10 years to go
  • 26. 26Telefonica Digital So what should be the role of Semantic Web in Big Data such that it can have a real impact? = +

Notas do Editor

  1. Traffic managementSmart citieseHealthCity planningBargagecollecationLightningRetailDisease propagation