It’s probably no surprise that Greece failed to meet its deadline to pay back the International Monetary Fund (IMF) the €1.6bn (£1.1bn) it owes them – despite the epic crowdfunding campaign on indiegogo. Never the less, it got us thinking...how long would it take to bail out Greece if we all worked together?Read More
To say Amazon screwed up big time with their disastrous product, the Amazon Fire Phone, is a bit of an understatement…. they took a $170 million write-down largely attributable to unsold inventory. But why did it go so wrong? And how can product managers avoid being the next product disaster using data science?
We’ll never know for certain why the Amazon fire phone failed to resonate with consumers. But, we can try to help other product developers avoid making the same mistake. In this article we will to explore some of the modern data analytics and business intelligence techniques from the world of data science that should help you minimize the risk of producing a product flop.Read More
How the sharing economy uses data to build trust
Not using your apartment for the weekend? Rent it out on Airbnb. Traveling across country? Offer someone a ride on BlaBlaCar. Got some free time on your hands? Offer your services on TaskRabbit.
The “Airbnb model”, also known as the sharing economy has fundamentally changed the way we think about ownership. Just as peer-to-peer businesses like eBay allow anyone to become a retailer, sharing sites let individuals act as an ad hoc taxi service, car-hire firm or boutique hotel as and when it suits them.
But, how can you trust your stuff (or your life) with a complete stranger?Read More
In my job at Silk.co, I help lots of journalists, workers at NGOs and marketers build data visualizations from spreadsheets. Often we use Import.io to extract data in from the public Internet to push into a spreadsheet which we then upload into Silk for further analysis and visualization. (Here's one we did with Import.io about Uber Jobs which was picked up in Mashable). I do spend considerable time thinking how to best represent data with visualizations. I am by no means an expert in data visualization on the level of Alberto Cairo or Edward Tufte.
That said, I do have some basic visualization guidelines that I use. These guidelines enable anyone quickly match the goal of their data visualization to the visualization type (or types) that should work best for their data.Read More
We all know that time is money, especially when you're paying a data scientist. But the New York Times reports that...
"Data scientists, according to interviews and expert estimates, spend 50 percent to 80 percent of their time mired in [the] mundane labor of collecting and preparing unruly digital data, before it can be explored for useful nuggets."
- Steve Lohr, NYTRead More
Whether you've bought in to the Silicon Valley dream or not, there's no denying that startups have become an increasingly popular place to work – especially for young people. It seems everyone has an opinion on whether going to work for a startups is a good decision or a bad one. With all this (unsolicited) advise going around, it can be tough to make a decision that's right for you.
If you've ever wonder if you have what it takes to hack it in the fast-paced world of startups? We've got you covered! As certified startup experts (we work in one), we've created the ultimate personality quiz to help you find you ideal work environment.
Go on, give yourself a quick mental break (you deserve it) and try it out...Read More
As an entrepreneur you have to wear a lot of hats. Working in a small organization means you often need to fill the duties of what in a bigger company would be several different people. For a long time, in addition to being CEO I was also acting CFO, COO, Head of Sales & Marketing, and Product Manager. None of that would have been at all possible without the use of some of these killer tools, many of whom turned out to be real life-savers. In this post I've highlighted 7 of my favorites. To keep it interesting, I've also tried to pick some less obvious ones you may not have heard of.Read More
Last Friday (May 29th) we hosted our second annual User Conference, Extract, in London, and while we don’t want to toot our own horn - we have to say, it went pretty well. This is our third conference of this type (we did one in London last year and one in San Francisco) and after all that, we’re getting to be pretty old hands at this. Now that all the stress and frantic running around has passed, we thought we’d share our “lessons learned” - the good and the bad, so you can learn from our experience when planning your own conference!Read More
I went to work on Tuesday, as I do on most days, to the import.io headquarters in Hoxton at about 9am. We have a top floor, open plan space in a building just north of the square where we’ve been for the last year and a half. The office may have become a bit cramped over the last few months, but it’s still a nice warm, colorful space that feels like our home.
When I arrived on this particular Tuesday however, instead of unlocking the main door and heading up the stairs, I found a rather large crowd of my employees milling about outside on the pavement.Read More