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.
I have a bit of an obsession with my calendar, lists, and goals. On the home screen of my phone I have Wunderlist, Evernote, Google Drive, and 2 calendar apps (more on that in a second).
This obsession is probably one of the reasons I write this blog. I like writing, drawing, and documenting things. It helps me sort through my thoughts. I have everything from a list of cities I want to visit to a list of billion dollar business ideas (yes it’s really called that).
But the other reason I like to keep lists is because – as I said in this post – I’m trying to be cognizant about overcommitment. And when I write things down, it serves as a reminder of what I’m doing and what I’m allowed to focus on.
One of the ways I do that is through repeatable goals (or disciplines). These are non-negotiable things that I’ve committed myself to and that I just have to grind out – such as writing on this blog every day. I can tell you that some blog posts come out a lot easier than others. But I’m a firm believer that there are few substitutes for just showing up every day and putting in the work.
On that note, let me tell you why I have 2 calendar apps on my phone. I’ve been testing out the latest version of Google Calendar because of
I’ve been a Foursquare user for a number of years now. I like seeing which friends are nearby and where I’ve been. I love the data aspect of it. It’s a kind of urban “spidey sense.”
Sometimes when you “check-in”, the app will tell you the last time you were there (if it’s been awhile), how many consecutive weeks you’ve been there (which I like seeing when I check-in at the gym), and also give you any tips that others may have left about the place you’re at–such as, try the sea urchin ceviche.
But Foursquare has been struggling. Check-ins proved to be a bit of a fad and Yelp solved the what-do-you-want-to-do-tonight problem better. However I’ve always felt that, on a fundamental level, Foursquare had the potential to be so much more powerful than Yelp.
Well, today the big news in the tech world is that
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.
I have a bit of an obsession with my calendar, lists, and goals. On the home screen of my phone I have Wunderlist, Evernote, Google Drive, and 2 calendar apps (more on that in a second).
This obsession is probably one of the reasons I write this blog. I like writing, drawing, and documenting things. It helps me sort through my thoughts. I have everything from a list of cities I want to visit to a list of billion dollar business ideas (yes it’s really called that).
But the other reason I like to keep lists is because – as I said in this post – I’m trying to be cognizant about overcommitment. And when I write things down, it serves as a reminder of what I’m doing and what I’m allowed to focus on.
One of the ways I do that is through repeatable goals (or disciplines). These are non-negotiable things that I’ve committed myself to and that I just have to grind out – such as writing on this blog every day. I can tell you that some blog posts come out a lot easier than others. But I’m a firm believer that there are few substitutes for just showing up every day and putting in the work.
On that note, let me tell you why I have 2 calendar apps on my phone. I’ve been testing out the latest version of Google Calendar because of
I’ve been a Foursquare user for a number of years now. I like seeing which friends are nearby and where I’ve been. I love the data aspect of it. It’s a kind of urban “spidey sense.”
Sometimes when you “check-in”, the app will tell you the last time you were there (if it’s been awhile), how many consecutive weeks you’ve been there (which I like seeing when I check-in at the gym), and also give you any tips that others may have left about the place you’re at–such as, try the sea urchin ceviche.
But Foursquare has been struggling. Check-ins proved to be a bit of a fad and Yelp solved the what-do-you-want-to-do-tonight problem better. However I’ve always felt that, on a fundamental level, Foursquare had the potential to be so much more powerful than Yelp.
Well, today the big news in the tech world is that
a new feature they rolled out this month called Goals
.
What it does is automatically schedule repeatable goals. So for instance, you could tell it that you want to work out 3 times a week for 1.5 hours each time and that you prefer to work out in the evenings. It will then go and find 3 times for you to do it every week for all of eternity.
If a conflict arises, that’s no problem. As soon as you enter another appointment, the app will automatically reshuffle your calendar goals to make sure that you still get your 3 workouts in. It’ll even learn your preferences as you make changes to these appointments over time.
So far I’ve been finding this feature really useful. I used to do this for myself manually, but now I have a computer that does it for me. Even better.
“We’ve been investing in machine learning and AI [artificial intelligence] for years, but I think we’re at an exceptionally interesting tipping point where these technologies are really taking off,” he said. “That is very, very applicable to businesses as well. So thoughtfully doing that externally we view as a big differentiator we have over others.”
“In the long run, I think we will evolve in computing from a mobile-first to an AI-first world,” Pichai said in closing. “And I do think we’re at the forefront of developments.”
For the past 5 years, it’s been all about mobile. But now much of the tech community – including the CEO of a pretty big company – is saying that artificial intelligence is next. What do you think this will mean for cities?
. Foursquare will be a recommendation engine that helps people find places to eat, drink, shop and so on (just like Yelp), and Swarm will be all about social–seeing where your friends are and which ones are nearby. And along with this unbundling, there will be
But how can Foursquare personalize its users’ results if they are no longer collecting check-ins, the foundation of Foursquare’s recommendation engine? Crowley smiles and says something a bit shocking. He no longer needs check-ins, the meat and potatoes of Foursquare’s entire business and data collection engine for the last five years.
Not only has Foursquare collected 6 billion check-ins, he says, but it has collected five billion signals to help it map out over 60 million places around the world. Each place is a shape that looks like a hot zone of check-ins — of times when people have said “I’m here.” Foursquare’s “Pilgrim” location-guessing engine factors in everything from your GPS signal, to cell tower triangulation, to the number of bars you have, to the Wi-Fi networks, in order to create these virtual shapes.
Now that it has this data, Foursquare can make a very accurate guess at where you are when you stop moving, even without a check-in, it’s a technology it hopes will allow it to keep its database of places fresh and accurate. Foursquare calls these implicit check-ins “p-check-ins,” or Neighborhood Sharing. Take your phone into four or five different Japanese restaurants over the course of six months and without a single check-in Foursquare will learn that you like Japanese food and start making recommendations for you based on that data.
There will obviously be a number of people who have anxiety about an app that’s passively tracking everywhere they go and then trying to feed them recommendations (come eat here!), but I do think they’re on to something.
The opportunity with Foursquare (and its data) is that the recommendations can be tailored. If I’m looking for a place to eat, Foursquare will already know that I love Mexican and that I just worked out (meaning I’m probably extra hungry). Personally, I’m okay with that.
But then I start to wonder how this might impact cities. If the process of discovery becomes this automated and this tailored, how might it change the way we organize and design our cities?
a new feature they rolled out this month called Goals
.
What it does is automatically schedule repeatable goals. So for instance, you could tell it that you want to work out 3 times a week for 1.5 hours each time and that you prefer to work out in the evenings. It will then go and find 3 times for you to do it every week for all of eternity.
If a conflict arises, that’s no problem. As soon as you enter another appointment, the app will automatically reshuffle your calendar goals to make sure that you still get your 3 workouts in. It’ll even learn your preferences as you make changes to these appointments over time.
So far I’ve been finding this feature really useful. I used to do this for myself manually, but now I have a computer that does it for me. Even better.
“We’ve been investing in machine learning and AI [artificial intelligence] for years, but I think we’re at an exceptionally interesting tipping point where these technologies are really taking off,” he said. “That is very, very applicable to businesses as well. So thoughtfully doing that externally we view as a big differentiator we have over others.”
“In the long run, I think we will evolve in computing from a mobile-first to an AI-first world,” Pichai said in closing. “And I do think we’re at the forefront of developments.”
For the past 5 years, it’s been all about mobile. But now much of the tech community – including the CEO of a pretty big company – is saying that artificial intelligence is next. What do you think this will mean for cities?
. Foursquare will be a recommendation engine that helps people find places to eat, drink, shop and so on (just like Yelp), and Swarm will be all about social–seeing where your friends are and which ones are nearby. And along with this unbundling, there will be
But how can Foursquare personalize its users’ results if they are no longer collecting check-ins, the foundation of Foursquare’s recommendation engine? Crowley smiles and says something a bit shocking. He no longer needs check-ins, the meat and potatoes of Foursquare’s entire business and data collection engine for the last five years.
Not only has Foursquare collected 6 billion check-ins, he says, but it has collected five billion signals to help it map out over 60 million places around the world. Each place is a shape that looks like a hot zone of check-ins — of times when people have said “I’m here.” Foursquare’s “Pilgrim” location-guessing engine factors in everything from your GPS signal, to cell tower triangulation, to the number of bars you have, to the Wi-Fi networks, in order to create these virtual shapes.
Now that it has this data, Foursquare can make a very accurate guess at where you are when you stop moving, even without a check-in, it’s a technology it hopes will allow it to keep its database of places fresh and accurate. Foursquare calls these implicit check-ins “p-check-ins,” or Neighborhood Sharing. Take your phone into four or five different Japanese restaurants over the course of six months and without a single check-in Foursquare will learn that you like Japanese food and start making recommendations for you based on that data.
There will obviously be a number of people who have anxiety about an app that’s passively tracking everywhere they go and then trying to feed them recommendations (come eat here!), but I do think they’re on to something.
The opportunity with Foursquare (and its data) is that the recommendations can be tailored. If I’m looking for a place to eat, Foursquare will already know that I love Mexican and that I just worked out (meaning I’m probably extra hungry). Personally, I’m okay with that.
But then I start to wonder how this might impact cities. If the process of discovery becomes this automated and this tailored, how might it change the way we organize and design our cities?
