Download as PDF, PPTX
![Hello!!
Mark Brill !
@brillthings!
!
[please make some big data]!](https://image.slidesharecdn.com/slidemobileandbigdataslideshare-140722041033-phpapp01/85/Mobile-and-The-Big-Data-Question-1-320.jpg)
![Hello!!
Mark Brill !
@brillthings!
!
[please make some big data]!](https://image.slidesharecdn.com/slidemobileandbigdataslideshare-140722041033-phpapp01/75/Mobile-and-The-Big-Data-Question-1-2048.jpg)
Uploaded byMark Brill
Mobile and The Big Data Question
This document discusses the rise of big data from mobile devices. It notes that mobile usage has overtaken desktop globally, with over 400 million photos and 64 billion messages shared daily. The document outlines different types of active and passive data generated from mobile and how this data is being used, including tracking relationships on Facebook and monitoring health and poverty levels. It closes by discussing future trends like wearables and how mobile data could be harnessed for medical research.
More Related Content
Similar to Mobile and The Big Data Question
Mobile and The Big Data Question
- 1. Hello!! Mark Brill ! @brillthings! ! [pleasemake some big data]!
- 2. What the hell is this guy looking at? The World or something? This picture was trending on Twi8er earlier this year and it pre8y much sums up mobile. The default mode is that we’re on our smartphones. The odd one out is the guy who is just looking at the world.
- 3. - Phone byyour bed?! - Check it first or last thing?! - Share your phone with anyone?! Another way to understand mobile is to think about your own usage. It is always there, always on and a highly personal device that is rarely shared.
- 4. All of thismeans is that mobile is generating vast amounts of data. And as we become even more mobile that’s set to explode. This year, mobile is set to overtake desktop usage globally, although in some countires such as India or China that’s already happened. !
- 5. More photos sh`aredthan Facebook – 400m per day More messages sent than SMS – 64 billion per day Mobile is also a fast changing landscape. Here are two examples of a current shiE in usage.
- 6. comScore, US, April2014 It’s also happening in social, where it is now pretty much a mobile channel …
- 7. 2 x moreshares! 3 x more active!Facebook, 2013, (reported by TechCrunch) And mobile users are more active than desktop, generating yet more big data through likes, shares, Tweets or updates.
- 8. 1.67 This numberis interesting in the world of social and big data …
- 9. By analysing messagingdata, Facebook have found that two people will send an average of 1.67 messages per day, shortly before they start a relationship.! h8p://www.hashslush.com/facebook-‐new-‐relaIonship-‐guru-‐town/
- 10. How much isyour ! data worth?!
- 11. Jacopo Staiano, Universityof Trento, 2014" This is an interesting experiment by an Italian academic. A virtual market was created for mobile data where users placed bids. It’s useful to see that location and call data was valued the highest. It tells us what matters most to consumers when it comes t data,
- 12. Active | Passive! Wecan split the type of data from mobile into two types. ‘Active’ is data generate through social media or as a registered user. Few people realise how much passive data there is though. It includes app analytics, location data or other background activities such as phones sniffing out WiFi.
- 13. Attribution! There aren’t manygreat examples of brand use of big data in mobile. This, though, is a good example from M&S. They are able to attribute their mobile (and for that matter, social) activities by linking registered users to their M&S cards and can use big data to track spending and therefore the ROI of each channel.
- 14. Passive Data! The operatormarketing message channel make use of passive data, such as roaming on handsets, to identify target audiences for brand campaigns.
- 15. Presence Orb PresenceOrb used passive data from smartphones automatically searching for WiFi signals. They installed units in recycling bins in the city of London. By grabbing mac address they were able to track users as they moved around the city.! Although there are some great brand benefits, there was something of an outcry about the system and it was withdrawn from the City of London.
- 16. Being Useful! Perhaps thebest thing brands can do is to consider big data as a means to deliver a better service, and be more useful to customers. The following examples show how big data from mobile devices has been useful in developing economies.
- 17. In Kenya, themovement of phones around a network has informed the movement of people and therefore mosquitos. This allows them to identify the optimal areas for a vaccination programme.
- 18. Elsewhere in Africa,big data on mobile phone top ups has been used to identify areas of wealth and poverty. It has also helped identify unexpected areas of wealth suggesting high levels of corruption in those places.
- 19. In Haiti, Swedishresearches were able to track phones entering the disaster area and those that had left. By doing so they were precisely able to measure the number of people affected by the disaster.
- 20.
- 21. And after mobilecomes connected and wearable devices. With the proliferation of these new forms of computing more data will be generated. Think of the life logging trend as an example. However, we need to take care with this. Google Glass for example generates a vast amount of passive data, including eye-tracking. ! ! http://www.dmamobileblog.org.uk/2013/07/24/google-glass-a-less-private-future/
- 22. Maybe we canflip the idea of big data around. Here’s an example where the considerable computing power of smartphones can be harnessed to do good. Whilst we are asleep, this app processes medical data to help fight disease as part of a large grid computing system.
- 23. Mobile data ispowerful.! It is also personal.! Understand your users, gain trust and be transparent.!
- 24.