Big Analytics

Technology Predictions for 2015

For 2015, Bing predicts the same three technologies for all continents to be in the first places: Wearables, Digital Personal Assistants and Home Automation.
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2015-01-18_BingPredicts.
All these technologies are part of the Internet of Things (IoT). They have many sensors delivering data, they are connected to several clouds and they provide information about processes or behaviours of people and environments.
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Devices communicate with devices, devices with humans and humans with devices. So IoT is not another Internet or an Internet besides the already known. It’s an expansion of the Internet and it produces more massive data accessible for known and unknown parties: telecom and cloud providers, enterprises, governments ……
Finally also humans become part of IoT
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IoT Infographic

These aspects are explained in a good infographic made by Postscapes in collaboration with Harbor Research.
2015-01-18_sensors.
2015-01-18-connectivity.
2015-01-18_peopleprocesses
The complete infographic can be found here:
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IoT, Big Data and then?

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Data from classical statistical surveys as well as from connected devices must be analyzed in order to be of use.
Analytics of things (of data produced by sensors of connected things including humans) are the new kind of statistical information every organisation, private person or government can use for their purposes, for well informed decisions and steering activities.  The usages are numberless and under no control.
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Examples of such statistics and applications are already numberless:
  • Singapur itraffic
    2015-01-25_itraffic
  • Some more example applications of IoT in Postscapes IoT toolkit
  • And some things are intelligent even without being connected, like thermostats.

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Big Analytics, Data Science and Official Statistics

The quasi-monopoly of national statistical agencies having the resources to undertake huge surveys vanishes. A  new kind of statistics emerges – collected, controlled and used by new agents.
To get the  full potential of these data, special qualifications are needed. Classical statistical analysis expands to Data Science. (Big) Data need (Big) Analytics and this explains why many predict that statistician will be the sexiest profession.
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To get an idea of this business in expansion or even explosion Diego Kuonen’s frequent tweets and presentations are an ideal source.
2015-01-24_kuonen-abstract
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As new sources of data appear and broader analyzing techniques become necessary, Statistical Agencies are challenged. Attacking the paradigm change is on the agenda.
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 Who owns the data

Who owns the data emerging from my devices (smartphone, wearables, home automation …)? What data come from sensors out of my personal reach?
And what are they doing with these data?
Huge data protection issues wait for answers. Reality seems to be faster than rules …
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'Estimates vary, but by 2020 there could be over 30 billion devices connected to the Internet. Once dumb, they will have smartened up thanks to sensors and other technologies embedded in them and, thanks to your machines, your life will quite literally have gone online.'

https://www.aclu.org/blog/technology-and-liberty-free-speech-national-security/invasion-data-snatchers-big-data-and

2015-01-25_iotbeyondtech

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