Post on 08-Feb-2020
telenor
Big data og personvernOslo 7. Sep, 2017Tekna
Arturo Opsetmoen AmadorData Scientist, Telenor Business
Telenor leverages big data analytics across many areas
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Network
deployment
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Customer
service
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Security
monitoring
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Meeting customer
needs
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Big data for social
good
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From great coverage to big data insights
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• 2.3 million people moving across Norway in a period of 12 hours
• 1.5 TB of signaling data in a snapshot
• Telenor empowering Norwegiansociety through big datainnovation
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Tourism Traffic monitoring
Public transportation Public health
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Big data analytics for public health
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AmphetamineMeasured the mobility behaviour of people in Oslo
Correlated population dynamics with drug consumption measurements
Discovered the best time of the year to run anti-drug campaigns
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Effect on the mobility in Oslo after the diesel ban
42750,5 42751 42751,5 42752 42752,5 42753 42753,5 42754 42754,5
Flow through unbanned roads
total_subsFlow evolution
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Effect on the mobility in Oslo after the diesel ban
-1%
0%
1%
2%
3%
4%
5%
6%
17 01 04.48 17 01 07.12 17 01 09.36 17 01 12.00 17 01 14.24 17 01 16.48 17 01 19.12
Serie1Percentual delta evolution
% change in flow through unbanned roads (6 am - 6pm)
Telenor discovering foreign tourists at Finse
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50
100
150 United Kingdom
Germany
Switzerland
Netherlands
Sweden
From signaling data: measure a train arriving to Finse33,850 foreign travelers from 53 countries during February’17
Discovered the top nationalities of foreign travelers
Discovered preferences on time of travel of foreign passengers
UKGermanyRussia
SpainPolandLithuania
NetherlandsSwitzerlandLatvia
Top foreigner nationalities
United Kingdom: 3079Germany: 1907Lithuania: 807Russian Federation: 1009Spain: 717Poland: 563Estonia: 310Netherlands: 540 Latvia: 274Switzerland: 674
France: 342 United States: 259Italy: 337Finland: 257Austria: 179Bulgaria: 98Belgium: 196Czech Republic: 131Romania: 88China: 133
We collaborate across and learn from the best
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Privacy
SecurityIT Tech
Research
Business
Internal collaboration External collaboration
Art. 6 GDPR: Lawfulness of processing
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Privacy Framework
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• In-memory hashing of identifiers
• Sensitive, raw network data never
stored
• Hash-value is recycled every «24»
hours reduce risk of inference based
on trip data
• Data is aggregated up to a
significant level of people (e.g. 20)
• All locations with less than this
level are removed
• Estimation from # active subscribers to
# people (based on market share,
observation length, etc.)
• Users only granted access to
extrapolated data
I. Masking (Pseudonymization) II. Aggregation (Anonymization) III. Prediction (Extrapolation)
«Privacy by Design»
Privacy Framework
13 https://www.telenor.no/om/teknologi-norge/stordata-samfunnet.jsp