1. Business Models for Mobile Big Data PARTNERSHIPS FOR ACCESS TO THE DATA

2. How to get from Raw Data to Results? MNOs collect data and process internally The residual data is highly valuable in variety of domains Legal, administrative, technical and business aspects Private data owned by MNOs (responsibility) Asset for MNOs (value in data) Motivation, basis for MNOs to allow access

3. Market Problem There are two different markets for the data which overlap Public Interest Private Market

4. Potential of Using Big Data for Official Statistics in the Philippines There are gaps in the current ICT indicators (no ICT indicators in PH household survey): ◦Proportion of individuals using the Internet (by age, gender, HH7) ◦Proportion of individuals using the Internet, by location (HH8) ◦Proportion of individuals using the Internet, by type of activity (HH9) ◦Proportion of individuals using a mobile phone (HH10) ◦Proportion of individuals owning a mobile phone (HH18) Big Data could complement the lack of ICT data in the country Also Big Data can provide new, previously inaccessible indicators ◦Actual geographical network usage distribution comparing to population ◦Differences between urban and rural areas

5. Business Models for MNOs Non-commercial – MNOs do not expect to make a profit on their data ◦Social responsibility ◦Innovation ◦Mandatory ◦Barter Commercial – MNOs expect to make profit on their data (their asset) ◦MNOs own Big Data department ◦Third party distributor

6. Non-Commercial Models Corporate Social Responsibility ◦To provide help for developing society ◦Improving PR of the company Innovation ◦Investing in innovation to open up potential future business opportunities ◦Lifting ICT level of the country ◦Gaining skills (knowledge, experience and references) ◦Cooperation with academia ◦Through partnership with international organisations (ITU, GSMA) Mandatory ◦National statistics / telecommunication act ◦Requirement to provide specific data for specific purpose ◦Expect to be paid for implementation / maintenance / data ◦Limitations on their market (can’t sell same data) Barter and other non-monetary incentives ◦Data for service ◦Data for analysis

7. Commercial Models MNOs’ Big Data Department ◦Dedicated department for analysis and services of their data ◦Focused on specific product/service or ◦Open for wide range of services (including govt. sector) Third party aggregator / distributor ◦MNO has commercial contract with a third party aggregator who is responsible for distribution of the data ◦Fixed price / rev-sharing agreements

8. Technical / Administrative Dimension Who is processing the data?

9. New Ecosystem? Companies developing the technology for processing the data MNO Vendors Integra- tors ? ? ? ? ? ?

10. What is Needed by NSI to Enable Use of Big Data Regulatory framework (Statistics Act) adaptation to include access to Big Data sources from private sector ◦Legislation ◦Partnership model for working with data providers Infrastructure to process and analyse Big Data ◦Parallel processing systems (hardware) ◦Tools for Big Data analyses Skills ◦Hiring Big Data scientists ◦Training for staff

11. Roles of Different Stakeholders in the Country National Statistical Institutes ◦Philippine Statistics Authority – National statistics producer, methodology aspects, and additional statistical indicators based on big data Telecommunication regulator / ICT Ministry ◦Department of ICT – ICT statistics producer, local focal point for the project Data protection commission/agency ◦National Privacy Commission (NPC) – oversight on protection of privacy Telecom operators – data providers ◦Globe ◦Smart/PLDT Internet service providers – data providers ◦Globe ◦Smart/PLDT

12. Margus Tiru ITU Consultant project coordinator margus.tiru@gmail.com