Big data and official statistics the role of the ICT sector

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1 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

2 Overview 2 Big data and the ICT sector Trends in ICT access and use ITU s engagement Mobile operator data use cases

3 Big data and the ICT sector Why important Amount of data generated as a result of the spread of 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

4 4 Global ICT developments Key indicators

5 Mobile revolution Unprecedented growth in developing countries Developing Developed Developing Developed Total 719 million Total 2.21 billion Total number of mobile-cellular subscriptions is close to total world population Source: ITU WTI Database * Estimate

6 Mobile revolution Across all regions Mobile penetration by region, 2015* (number of mobile cellular subscriptions per 100 inhabitants) Source: ITU * Estimate

7 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

8 Internet uptake 2/3 of Internet users are in the developing world 8 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

9 ICT sector big data sources Potential partners in official statistics Telecommunication service providers Fixed operators Mobile operators Internet service providers (ISPs) Internet and mobile content providers Over-the-top service providers (OTTs) Social network providers Mobile apps market/providers Others Software providers Content distribution network (CDN) providers Equipment providers

10 ITU s engagement Raising awareness and facilitating the dialogue 10 UN agency for telecom/ict >700 ITU private sector members, including many telecommunication operators 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

11 GWG on Big Data for Official Statistics 11 UN Global Working Group (GWG) on Big Data for Official Statistics : ITU is a member of all 8 GWG Task Teams 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

12 GWG on Big Data for Official Statistics Task Team on Access and Partnerships 12 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 on existing agreements and best practice Topic of discussion during WTIS 2015

13 Examples of use of big data from mobile telecommunications

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

15 Poverty mapping in Cote d Ivoire Based on official statistics Model based on mobile operators data Map of 11 regions showing Multidimensional Poverty Index Poverty map of 11 regions estimated based on data from antennas Source: Smith C,, Mashadi A,, and Capra L (2013).

16 Tracking population displacements after 2010 Haiti earthquake Source: Bengtsson et al., 2011

17 17 Transportation and urban planning in Colombo, Sri Lanka Using mobile data Official survey data Source: Lokanathan et al. (2014)

18 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

19 ITU Ebola project The case of Sierra Leone 19 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 operators Operators will anonymize data before analysis Timeframe: February 2015 August 2016

20 Big data from the ICT sector Development potential and challenges 20 Development potential Challenges Rich source for big data, realtime 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

21 Thank you For more information and data:

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