Sharing Goods And Sharing Data: Both Is Fun, Big Business And A Social Responsibility

Sharing Goods And Sharing Data: Both Is Fun, Big Business And A Social Responsibility

Around 2010, Lisa Gansky coined the term Sharing Economy, or Mesh companies, offering their customers efficient shared access to their products instead of selling their products to them. Recently, it’s being called Collaborative Consumption or Collaborative Economy. It’s all about finding ways to make better use of valuable resources that have remained unused. Convenient access is being made affordable to people who can’t afford different products, or simply don’t need to own those products since they would only use them infrequently. Typical mesh businesses like AirBnB, LendingClub or Cookening, demonstrate the power of sharing in very different ways: AirBnB is on the way to pass Hilton as the world’s largest hotelier in 2015, that is 7 years after its inception. The US peer-to-peer lending company Lending Club has originated over 4 billion USD in loans – it was originally founded as a Facebook app in 2006. The typical Mesh business runs a stylish app with a high usability. It’s service is new, easy to use and affordable. But all that does not fully explain the tremendous speed they conquer one market after the other. Who is the driver behind the Sharing Economy and it’s success? It’s the user. It’s the […]

Read More →
Global Sleep Patterns

Global Sleep Patterns

Sleep is one of the most interesting aspects of life: during sleep we don’t act consciously (apart from a few natural processes inside our body) and therefore some people try to minimize sleep to get most out of their lives. Others maximize their sleep: for them sleep simply is the greatest activity they could think of. The Quantified Self folks try to optimize their sleep; i.e. to maximize their sound sleep phases and minimize light sleep and times of being awake. The guys from Jawbone looked at their UP band user’s sleep data and could provide us with this interesting global sleep pattern. Since Jawbone’s data are more detailed and accurate than the American Time Use Survey, this view on the different sleep patterns provides great insights in how inhabitants of cities behave, or how active a city is, seen as a whole. The average hours of sleep shown in the feature visual above do not include time awake in bed. Science tells us that we should sleep between 7 to 8 hours per night and we should sleep during the same cycles in order to maximize recovery and relaxation from our daily routines. Now look at people living in Tokyo: with […]

Read More →
The social relevance of the explore app guides  – The Datarella Interview

The social relevance of the explore app guides – The Datarella Interview

Today, we speak with Michael Reuter (KMR), Co-founder of Datarella, about the social relevance of the explore app guides. Q At Datarella, you offer different programs your users can participate in. Can you elaborate on the meaning behind these programs? KMR With our explore app, we provide a useful free tool for smartphone users to optimize their lives. There is a broad range of specific life situations in which the explore programs provide valuable and sustainable benefits. From lifestyle oriented programs as SMILE!, our guide to learn how to smile in 5 days, to specific health programs as our OsteoGuide which supports users suffering from Osteoporosis – we provide a broad range of programs. The most important aspect for Datarella is to always provide real benefits to our users: it’s not about technology, it’s about the social relevance of technology, its immediate impact on the user. Q Could you describe one of those programs and its impacts on your users in more detail? KMR Sure! Let’s take the OsteoGuide: in countries with populations with median ages of 45 and older, Osteoporosis has become a widespread disease. People suffer from Vitamin D shortage, move less and less during the day and, as a […]

Read More →