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BIG DATA STRATEGY &

PRODUCT DEVELOPMENT

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

Wearable Data Hack Munich 2015

Wearable Data Hack Munich 2015

Today, we would like to announce something special. Something we can’t wait to take place and until mid June it’s going to be tough to sit tight. Please, feel invited to our Wearable Data Hack Munich 2015! The Wearable Data Hack Munich 2015 is the first hack day on wearable tech applications and data. It will take place right after the launch of Apple Watch – the gadget we expect […]

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)

38%
89%
66%
64%
Movement
in total
…thereof
Eco-friendly Transport
…thereof
Non Eco-friendly by Car
…thereof
Eco-friendly by Walking/Bike

Datarella Team Happiness

  • 98%
    Joerg
  • 92%
    Kira
  • 90%
    Yuki
  • 96%
    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!

 

Save the date: Wearable Data Hack Munich 2015, June 19-21 http://t.co/EwvYkXvuqU
A Neural Network That Can Outsmart Wine Snobs at Their Own Game http://t.co/CHmSrwic71
Do you know our Quantified Self magazine on Flipboard? Have a look: http://t.co/2KoUUp5Lvm
BrandVoice: Big Data In Retail: How To Win With Predictive Analytics http://t.co/FWcR3t1guK
How Google's using big data and machine-learning to aid drug discovery http://t.co/BvFu7CSzHJ
(c) 2013-2015 Datarella GmbH