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DATA COLLECTION

& ANALYSIS

45%

short term visitors

234m

spendings at airport’s shops p.a.

41%

vacation travellers

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31%

visit your shop for

SHOWROOMING

Are your customers

LOYAL?

78%

also visit your

COMPETITORS

Analytics

We provide realtime Big Data analysis, based on a pool of behavior data of people’s every day lives, collected via smartphone sensors.

Business Solutions

We provide brand and customer loyalty programs, inhouse communication analyses and self-care schemes as customized products and services.

Consulting

We provide in-depth Big Data and Quantified Self expertise for our clients to obtain a comprehensive perspective on their customers’ behavior.

Explore – Your Personal Coach

With explore you will learn more about yourself and your own behavior. Your personal coach will ask questions about yourself, your daily activities, your habits and opinions. Additionally, explore tracks your locations and movements. You will get realtime feedback of your behavior compared with that of other users. Reasons to use your personal coach explore:

  • Wearable app – always at your side
  • Learn more about yourself
  • Highly usable surveys
  • Effortless usage
  • Realtime feedback and charts

  • Valuable hints and recommendations
  • Intelligent, event-based notifications
  • Benchmarking with other members
  • Personal coach to improve your life

get-it-on-google-play

Mobile

The QS Blog

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 […]

Read More →

Our partners

  • European Space Agency
  • Bayern Innovativ
  • evobis
  • Osteo Zentrum
  • WirtschaftsWoche

explore App Interactions

Data points
per day
Avg. magnetic flux
of explore users (μT)
Avg. age
of explore users
Avg. interaction
response rate (%)

Our Ecological Footprint (% of 16 hrs per day)

32%
83%
60%
59%
Movement
in total
…thereof
Eco-friendly Transport
…thereof
Non Eco-friendly by Car
…thereof
Eco-friendly by Walking/Bike

Datarella Team Happiness

  • 99%
    Joerg
  • 93%
    Kira
  • 90%
    Yuki
  • 97%
    Michael

Team Happiness?

The Datarella team member’s happiness values stem from their daily answers of the daily “well-being” interaction in the exlore app. This interaction is repeated on a daily basis to provide explore users with insightful information about their individual well-being compared with the happiness levels of all explore users over time. If you want to know more about your own happiness level, download explore and give it a try!

 

With Enlitic, a veteran data scientist plans to fight disease using deep learning http://t.co/JjVPZyaHEl
Data is meaningless until you’re focused on the user and the bottom line http://t.co/6SLbC6KAYn
Playing #tennis? Being active in #quantifiedself? Try out Sony's tennis sensor! http://t.co/YIHbRWIq6v
RT @ragnarh: just shared a few comments about my sleeping behaviour & analysis here at @Datarella Blog. Do you also track sleep? http://t.c…
RT @UdLDigital: #udldigital Wie Smartphones Geschichten schaffen: http://t.co/jc1JDJ3U1m @Datarella
(c) 2013-2014 Datarella GmbH