Big data and official statistics the role of the ICT sector Susan - - PowerPoint PPT Presentation

CCSA Special session on showcasing big data

1 October 2015, Bangkok

Big data and official statistics – the role of

the ICT sector

Susan Teltscher Head, ICT Data and Statistics Division International Telecommunication Union

1 October 2015

Overview

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 Big data and the ICT sector  Trends in ICT access and use  ITU’s engagement  Mobile operator data use cases

Big data and the ICT sector Why important

 Amount of data generated as a result of the spread

• f ICTs

 ICT sector is a major source of big data  Access to mobile communication services is nearly

ubiquitous

 Mobile devices allow collection of new data (on all

types of information)

 Gaps in official (ICT) statistics and timeliness of data

– potential of alternative data sources

Global ICT developments

Key indicators

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Mobile revolution

Unprecedented growth in developing countries

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Total number of mobile-cellular subscriptions is close to total world population

Source: ITU WTI Database * Estimate

2000

Total 719 million

Developed Developing

2005

Developing Developed

Total 2.21 billion

Mobile revolution

Across all regions

Source: ITU * Estimate

Mobile penetration by region, 2015*

(number of mobile cellular subscriptions per 100 inhabitants)

Mobile revolution

Around 95% of the population is covered by a mobile network… … and mobile broadband coverage is expanding rapidly

Source: ITU WTI Database * Estimate

Internet uptake

2/3 of Internet users are in the developing world

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• 43% of the global population is using the Internet
• But: 90% of those not yet online are in the developing world - mobile broadband growth is key

Telecommunication service providers Internet and mobile content providers Fixed operators Mobile operators Internet service providers (ISPs) Over-the-top service providers (OTTs) Social network providers Mobile apps market/providers Others Software providers Content distribution network (CDN) providers Equipment providers

ICT sector big data sources

Potential partners in official statistics

ITU’s engagement

Raising awareness and facilitating the dialogue

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 UN agency for telecom/ICT

 >700 ITU private sector members,

including many telecommunication

• perators and satellite companies

 Measuring the Information Society

Report 2014 and 2015

 Forum for discussion with member

states: WTIS 2013, 2014, 2015 and two statistical expert groups

 ITU Big Data Strategy developed in 2014

GWG on Big Data for Official Statistics

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1. Advocacy and Communication 2. Linking Big Data and SDGs 3. Access and Partnerships 4. Training, Skills and Capacity Building 5. Cross-cutting Issues 6. Mobile Phone Data 7. Satellite Imagery 8. Social Media Data

UN Global Working Group (GWG) on Big Data for Official Statistics : ITU is a member of all 8 GWG Task Teams

GWG on Big Data for Official Statistics

Task Team on Access and Partnerships

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 Access to big data is one of the core issues related

to big data usage in statistical offices

 Some data are available on the web, others are

proprietory (companies) – need to develop new public-private partnerships

 GWG Task Team:

 Development of set of principles for data access  Development of model data sharing agreement based

• n existing agreements and best practice

 Topic of discussion during WTIS 2015

Examples of use of big data from mobile telecommunications

Industry/internal use For monitoring and policy making (across sectors) Customer profiling Network planning and management Development of new business lines Urban and transport planning Disaster management Migration and population tracking Prediction of disease outbreaks and spread Socio-economic analyses For monitoring information society developments ICT usage behaviour and patterns Information on users Network speed and quality Population and geographical dimensions of digital divide

Use of big data from mobile operators Selected examples

Map of 11 regions showing Multidimensional Poverty Index Poverty map of 11 regions estimated based on data from antennas Based on official statistics Model based on mobile operators data

Source: Smith C,, Mashadi A,, and Capra L (2013).

Poverty mapping in Cote d’Ivoire

Tracking population displacements after 2010 Haiti earthquake

Source: Bengtsson et al., 2011

Transportation and urban planning in Colombo, Sri Lanka

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Using mobile data Official survey data

Source: Lokanathan et al. (2014)

Big data from mobile telecommunications The case of Ebola

 Tracking location of calls to

helpline

 Tracking population

movements

 Tracking spread of disease

Source: BBC News 14 October 2014

ITU Ebola project The case of Sierra Leone

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 Use of ICT in health-related emergencies ( see ITU

Plenipotentiary Conference 2014, Resolution 202)

 Analysis of call detail records (CDRs) to monitor

geographical movement of individuals

 Applications: epidemic outbreaks; emergency

response and evacuation; others

 Cooperation between ITU, Government and

• perators

 Operators will anonymize data before analysis  Timeframe: February 2015 – August 2016

Big data from the ICT sector

Development potential and challenges

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Development potential Challenges

 Rich source for big data, real-

time and low-cost

 Data from mobile operators are

available in developing countries

 Reveal new insights across

sectors helping policy makers

 The use of alternative data

sources may have bigger impact – «statistical leapfrogging»?

 Data access  Privacy and data protection  Storing and analysing data;

required skills

 Veracity (quality,

representativeness, interpretation of results)

Public-private partnerships Cooperation among different stakeholders Proof-of-concept studies to be scaled up

Thank you For more information and data: www.itu.int/en/ITU-D/statistics