I installed and setup Health Canada's COVID Alert app this morning.
It's really simple to do that. You don't enter any personal information. You just select which province you're in, agree to let it use your Bluetooth, and give it permission to share the random codes that you collect with its servers (more on this below). The app is then active and working. But to be clear, it doesn't collect your location (it doesn't use GPS or location services). It doesn't collect the places or times that you are next to someone who also has the COVID Alert app. And it doesn't know if you're with someone who was previously diagnosed with COVID-19.
Built on top of the private exposure framework that was collectively developed by Apple and Google, the app works by using Bluetooth to exchange "random codes" between nearby phones that have the app. These are anonymous and random codes that are used to track which phones have been next to which phones for any meaningful period of time. The app also uses Bluetooth signal strength to estimate proximity. So it knows how long your phone has been proximate to someone else's (with the app) and how close they got to each other.
That's pretty much all that happens with the app unless you test positive for COVID-19. At that point, you will be given a one-time key along with your diagnosis. The onus is then on you to anonymously self-report on the app. Once you do that, anyone who was exposed -- i.e. next to your phone in the last 14 days -- will receive an alert on their phone via the app. And since the app doesn't know any names or who anybody is, it's of course all completely anonymous.
It's great to see all of this coming together. The private sector worked to build the underlying framework and now you have government building on top of it to deliver public health tools. I know that some or many of you will be concerned about privacy, but that appears to have been very well thought out. If you haven't already downloaded the app, I would encourage you to check it out. It's available for iOS and Android and can be downloaded over here.
Last year, social media company Foursquare predicted that Chipotle would see a ~30% drop in its Q1 2016 sales. It knew this because the geo-location data from people using its app (check-ins and passive visits) was also down. They had figured out the relationship between foot traffic and sales. I think I wrote about this in the first half of last of year.
Not surprisingly, lots of companies – including those on Wall Street – are now starting to pay attention to data sets such as these. Matt Turck wrote a great blog post about it this morning, called: The New Gold Rush? Wall Street Wants your Data. Here’s an excerpt:
That a social media company could be building a data asset of immense value to Wall Street is part of an accelerating trend known as “alternative data”. As just about everything in our lives is getting sensed and captured by technology, financial services firms have been turning their attention to startups, with the hope of mining their data to extract the type of gold nuggets that will enable them to beat the market.
The opportunity is open to a wide range of startups. Many tech companies these days generate an interesting “data exhaust” as a by-product of their core activity. If your company offers a payment solution, you may have interesting data on what people buy. A mobile app may accumulate geo-location data on where people shop or how often they go to the movies. A connected health device may know who gets sick when and where. A commerce company may have data on trends and consumer preferences. A SaaS provider may know what corporations purchase, or how many employees they hire, in which region. And so on and so forth.
We may be calling this alternative data right now, but it is almost certainly just a matter of time before it simply becomes: the data.
I like the term “data exhaust” that Matt uses, because it feels like it accurately captures what is going on right now. The new economy is producing a lot of byproduct. If you clean it up and package it in the right way, then you might be creating additional value. But if you don’t, then it’s probably just exhaust.
A travel expense management company called Certify recently analyzed over 10 million ground transportation receipts across North America for the 3-month period ending last September (2016).
And what they found was that, for the first time ever, Uber and Lyft exceeded traditional taxis and rental cars when it came to business expenses. Uber was at 48% and Lyft was at 4%. So together, these two platforms have more than half of this particular market.
If you compare this to Certify’s data from the same quarter last year, “ride-hailing services” previously accounted for 34% of receipts, whereas taxis and rental cars were at 22% and 44%, respectively. So Uber is up in a big way.
This may not be surprising for a lot of you, but I thought it would be valuable to check-in on what the numbers say.
I’m hit with two thoughts. Firstly, it’s not a question of mobile apps superseding traditional taxis; it’s a question of one company taking over. And secondly, people seem to be favoring Uber over driving themselves around. I know I’ve been heading in that direction.
Those are two powerful trends.
I installed and setup Health Canada's COVID Alert app this morning.
It's really simple to do that. You don't enter any personal information. You just select which province you're in, agree to let it use your Bluetooth, and give it permission to share the random codes that you collect with its servers (more on this below). The app is then active and working. But to be clear, it doesn't collect your location (it doesn't use GPS or location services). It doesn't collect the places or times that you are next to someone who also has the COVID Alert app. And it doesn't know if you're with someone who was previously diagnosed with COVID-19.
Built on top of the private exposure framework that was collectively developed by Apple and Google, the app works by using Bluetooth to exchange "random codes" between nearby phones that have the app. These are anonymous and random codes that are used to track which phones have been next to which phones for any meaningful period of time. The app also uses Bluetooth signal strength to estimate proximity. So it knows how long your phone has been proximate to someone else's (with the app) and how close they got to each other.
That's pretty much all that happens with the app unless you test positive for COVID-19. At that point, you will be given a one-time key along with your diagnosis. The onus is then on you to anonymously self-report on the app. Once you do that, anyone who was exposed -- i.e. next to your phone in the last 14 days -- will receive an alert on their phone via the app. And since the app doesn't know any names or who anybody is, it's of course all completely anonymous.
It's great to see all of this coming together. The private sector worked to build the underlying framework and now you have government building on top of it to deliver public health tools. I know that some or many of you will be concerned about privacy, but that appears to have been very well thought out. If you haven't already downloaded the app, I would encourage you to check it out. It's available for iOS and Android and can be downloaded over here.
Last year, social media company Foursquare predicted that Chipotle would see a ~30% drop in its Q1 2016 sales. It knew this because the geo-location data from people using its app (check-ins and passive visits) was also down. They had figured out the relationship between foot traffic and sales. I think I wrote about this in the first half of last of year.
Not surprisingly, lots of companies – including those on Wall Street – are now starting to pay attention to data sets such as these. Matt Turck wrote a great blog post about it this morning, called: The New Gold Rush? Wall Street Wants your Data. Here’s an excerpt:
That a social media company could be building a data asset of immense value to Wall Street is part of an accelerating trend known as “alternative data”. As just about everything in our lives is getting sensed and captured by technology, financial services firms have been turning their attention to startups, with the hope of mining their data to extract the type of gold nuggets that will enable them to beat the market.
The opportunity is open to a wide range of startups. Many tech companies these days generate an interesting “data exhaust” as a by-product of their core activity. If your company offers a payment solution, you may have interesting data on what people buy. A mobile app may accumulate geo-location data on where people shop or how often they go to the movies. A connected health device may know who gets sick when and where. A commerce company may have data on trends and consumer preferences. A SaaS provider may know what corporations purchase, or how many employees they hire, in which region. And so on and so forth.
We may be calling this alternative data right now, but it is almost certainly just a matter of time before it simply becomes: the data.
I like the term “data exhaust” that Matt uses, because it feels like it accurately captures what is going on right now. The new economy is producing a lot of byproduct. If you clean it up and package it in the right way, then you might be creating additional value. But if you don’t, then it’s probably just exhaust.
A travel expense management company called Certify recently analyzed over 10 million ground transportation receipts across North America for the 3-month period ending last September (2016).
And what they found was that, for the first time ever, Uber and Lyft exceeded traditional taxis and rental cars when it came to business expenses. Uber was at 48% and Lyft was at 4%. So together, these two platforms have more than half of this particular market.
If you compare this to Certify’s data from the same quarter last year, “ride-hailing services” previously accounted for 34% of receipts, whereas taxis and rental cars were at 22% and 44%, respectively. So Uber is up in a big way.
This may not be surprising for a lot of you, but I thought it would be valuable to check-in on what the numbers say.
I’m hit with two thoughts. Firstly, it’s not a question of mobile apps superseding traditional taxis; it’s a question of one company taking over. And secondly, people seem to be favoring Uber over driving themselves around. I know I’ve been heading in that direction.
Those are two powerful trends.
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