Almost 60% of Small Businesses already have a international customers – USForex Survey

Small businesses with an international reach should not come as a surprise to any of us. has delivered survey and analytics to customers in the UK, Australia, Canada, Finland, New Zealand, the US and Mexico. All from fd2a3afe-108c-4648-92dc-5e8a3b98c654beautiful and rural Ontario Canada!

Not only are businesses finding clients around the world, savvy business owners and entrepreneurs also are finding talent internationally! On millions of small business owners find freelance support from amazingly talented computer programmers, virtual assistants, writers, editors (you get the idea) who are located anywhere in the world. And the great thing is it does not matter where we live!

Check this report out for more on the survey!


How Uber uses Data Science: Big Data and Analytics



Check out these posts about Uber and how they leveraged data and analytics to reinvent an industry.

Tackling problems like poor transportation infrastructure in some cities, poor customer experience, late car arrivals, drivers denying rides, or to accept credit cards Uber has “eaten the world” in less than 5 years.

  • 8 million users
  • 1 billion Uber trips
  • and 160,000+ people driving for Uber
  • across 449 cities
  • in 66 countries!

Data Science Central reports that Uber’s business model is based on crowd sourcing. Anyone with a car who is willing to help someone get to where they want to go can offer to help get them there.

Uber holds a vast database of drivers in all of the cities it covers, so when a passenger asks for a ride, they can instantly match you with the most suitable drivers.

Fares are calculated automatically, using GPS, street data and the company’s own algorithms which make adjustments based on the time that the journey is likely to take. This is a crucial difference from regular taxi services because customers are charged for the time the journey takes, not the distance covered.

Uber algorithms monitor traffic conditions and journey times in real-time, so prices can be adjusted as demand for rides changes, and traffic conditions mean journeys are likely to take longer. This encourages more drivers to get behind the wheel when they are needed – and stay at home when demand is low. The company has applied for a patent on this method of Big Data-informed pricing, which is calls “surge pricing”.

Also check out:

Bernard Marr