Elastic{ON} Tour Toronto - Analyzing a Full Football Stadium Worth of Wifi Data Every Hour

Elastic{ON} Tour Toronto - September 27, 2017

Learn how BAI Canada utilizes Elastic to analyze their Wifi data.

Jeremy Foran | Technology Specialist | BAI Canada

Transcript

1. 1 Jeremy Foran Technology Specialist, BAI Canada Analyzing a Full Football Stadium Worth of WiFi Data Every Hour
2. 2 USA CANADA HONG KONG AUSTRALIA New York Boston Toronto Hong Kong 99% coverage nation-wide UK London Majority owner About BAI Communications Bringing the connection to our world BAI Communications is a global, independent, infrastructure owner and operator. We design, build and operate high- quality, robust, communications networks including cellular, Wi-Fi, television and radio broadcasting. We operate in the USA, Canada, UK, Hong Kong and Australia, designing and managing networks that are keeping people connected.
3. 3 BAI Canada & TTC • In late 2012, the Toronto Transmission Commission awarded BAI Canada a 20 plus year licence to provide wireless services in the subway system • BAI Canada has designed and built a fibre backbone with a city wide footprint that extends public facing Wi- Fi and cellular signals to all stations in the subway • Next phase – We are extending cellular signals in the tunnels in the downtown core and when the subway extension to Vaughan opens in December service will be available from the Allen expressway to Highway 7 and Jane
4. 4 Our vision for a connected transit system • Enabling smarter cities
5. 5 • WiFi Networks – (S) Single Access Point – (M) Small Office – (L) Enterprise – (XL) Football Stadiums • RF planning / capacity • Resource management • User Behaviour Will It Scale?
6. 6 6 Users would interact with the brand
7. 7 7
8. 8 8
9. 9 9 The “Algorithm” goes quiet…
10. 10 10
11. 11 Obstacles • Reports were canned and rudimentary • Getting questions answered required code to be written • There was no APIs to integrate with our current systems / dashboards / reports
12. 12 Previous Reporting Capabilities Aggregated results, really hard to understand how numbers were being derived or calculated 1 2 3 Low granularity; daily No ability to “drill down”; Per Station
13. 13 Requirements Versatility Speed Accessibility • We don’t know the future • Horizontally scalable • Schema-less • Answer questions the day they are asked • Millisecond Queries • Small learning Curve • RESTful API • Library Support • Easy to integrate
14. 14 My Introduction to the Elastic Stack
15. 15 Current Reporting Capabilities
16. 16 …You can’t take this away… Marketing Department
18. 18 Performance
19. 19 Where are we now? Did we achieve our objectives?
20. 20 Sales Team • Able to answer questions themselves • Automate reports for customers and stakeholders • Per station sales and optimization
21. 21 Operations
22. 22 Development
23. 23 Excel Reports
24. 24 Alexa Let me Alexa that for you……
25. 25 Real Time RESTful GPS Feed
26. 26 What is next?
27. 27 Machine Learning
28. 28 Analytics and Modeling