I have been to Vienna the other week, first time since November last year. The thing that caught my attention was the viral spread of the new service of renting out E-scooters in the city. I thought straight away that there was something about it that is very comparable to what we are doing in big data.
What attracts clients in E-scooter rental (even in comparison with already established bike rental) and how can we draw a parallel with SaaS big data assessment concept exploited by talpa?
There are a few points that come to my mind:
- E-scooters are not tied up to certain parking spaces. Inbuilt location devices allow leaving them virtually anywhere, making it easier to rent and return them. Very comparable to cloud computing that we use as a backbone of big data technology.
- Buying an E-scooter is not cheap. Investment really makes sense if you plan using it full time. E-scooter rent, on the contrary, is like SaaS, when you pay only for what you use.
- Imagine waking up in the morning ready to jump on your E-scooter and realizing that the battery is not charged or worse: something is broken. You will have to find time and money to take it to the shop to get it fixed and certainly today you will not be using it. Alternatively you go in the street and just pick up the next rental E-scooter to enjoy the ride. Same concept is applied in SaaS offer, where back-end developers will use all the experience to make client happy and worry free in terms of the system functionality.
- Last but not least. E-scooter is a sign of novelty, modern approach and style. It is much slimmer than a classical bicycle. I have seen people of different ages, nationalities and genders enjoying a ride on the streets of Vienna. We want the same feeling from users of big data platform interfaces doing our best to make visuals easy-to-use and look good.
There is only one thing that can happen sooner or later. There will be more demand than the offer on the market…so don’t be late ?