AN INSIGHT TO CONSUMERS’ MOBILE BROADBAND EXPERIENCE 26 NOVEMBER 2018 ITU-T SG12 WORKSHOP ON TELECOMMUNICATION SERVICE REGULATORY FRAMEWORKS AND EXPERIENCE-DRIVEN NETWORKING
AGENDA • Connectivity Landscape • IMconnected • Harnessing the Power of Big Data Analytics • Conclusion 2
CONNECTIVITY LANDSCAPE
INCREASING CONNECTIVITY ON MOBILE Growing importance of mobile broadband connectivity towards Digital Economy & Smart Nation Initiatives • • Market Demands for higher Quality of Content • quality, content and speed Development of new applications Projected data usage of more than 30 Petabytes by 2020 4
SINGAPORE’S MOBILE CONNECTIVITY LANDSCAPE • Four Mobile Network Operators • Network Capacity 3G 4G 42 Mbps > 450 Mbps • Quality of Service for nationwide coverage Outdoor Indoor Tunnel 3G 99% 85% 95% 85% 4G 99% 99% (from 2019) 5
PERCEPTION OF CONSUMERS No data connectivity in the train Video streaming app High Throughput loading so slowly Cannot make voice call Low Drop Call Rate from specific location Connected to 3G instead of 4G High Call Success Rate Signal bar reduces when indoor Island-wide Coverage Network Operator’s View Consumer’s View / Reality 6
MEASURING CONSUMERS’ MOBILE EXPERIENCE Data & Voice Network Common Coverage Devices Everyone, Everything, Everywhere, All the time Networks are used Access Stationary & Technology On-the- move Indoor & Outdoor 8
KEY FEATURES OF IMCONNECTED Island-wide roving sensors “Light - weight” Solution (Does not drain resources) Anonymous & non-intrusive Subjective feedback 9
UNDERSTANDING CONSUMERS’ EXPERIENCE Crowdsourcing Data Performance Voice Performance Device Identifiers 1. Session throughput 1. Experienced network 1. Manufacturer and 2. Latency coverage model 3. Packet loss per 2. Operating System session 3. Location Information 4. Data volume utilised 6-monthly Publication since July 15 10
USER INTERFACE Speed Test Mapped Results Splash Screen Connection Survey Data streams with a Speed test results were IMconnected relies heavily maximum capped data size Connection performance to archived on the mobile for testing the speed to on passive data collection in popular websites and Users’ experience review phone locally and displayed the background emulate the user’s applications on a map experience 11
HOW IT WORKS Data Data B A Sessions Data C Data1 – 10 Mbps, Location A Data2 – 8 Mbps, Location B Voice 1 – successful, Location B IMDA - - - Server MAC - - - Data3 – 2 Mbps, Location A Data4 – No Signal, Location C Download App makes voice and Information cached on Mobile Analytics IMconnected, run the data observations, phone is sent to IMDA Centre processes data server at regular App once and leave it including areas of no and analyses intervals in the background signal. information 1 2 3 4 12
HARNESSING THE POWER OF BIG DATA ANALYTICS
TRANSFORMING BIG DATA INTO INSIGHTS Capture & Store Data Cleansing Insights Decision-making Correlate Forecast Cleansed Big Data Data Validate NDP 2017 14
OUTDOOR MOBILE COVERAGE HEAT MAP 15
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CONCLUSION
FOREFRONT IN A DATA-DRIVEN SOCIETY Gather Revolutionise the new era of data collection and sampling Data Challenge several conventional norms Data Enact Interpret Driven Feedback loop on ground sentiments Change Data Loop Increasing relevance with introduction of 5G Action Plan Basis for formulation of policies and decision-making Flow of Data Driven Management Decision 19
THANK YOU sgdigital.sg twitter.com/IMDAsg youtube.com/IMDAsg facebook.com/IMDAsg
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