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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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