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 2  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 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

Global ICT developments Key indicators 4

Mobile revolution Unprecedented growth in developing countries 5 2000 2005 Developing Developed Developed Developing Total 719 million Total 2.21 billion Total number of mobile-cellular subscriptions is close to total world population Source: ITU WTI Database * Estimate

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

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 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 

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

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

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

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

Examples of use of big data from mobile telecommunications

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

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

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

Transportation and urban planning in Colombo, Sri Lanka 17 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 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

Big data from the ICT sector Development potential and challenges 20 Development potential Challenges  Rich source for big data, real-  Data access time and low-cost  Privacy and data protection  Data from mobile operators are  Storing and analysing data; available in developing required skills countries  Veracity (quality,  Reveal new insights across representativeness, sectors helping policy makers interpretation of results)  The use of alternative data sources may have bigger impact – «statistical leapfrogging»? 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