Bringing big data home


Niall Harbison, social media advocate and co-founder of digital marketing agency Simply Zesty, wrote an article for The Next Web that brings the success of big data home--literally.

He highlights the groundbreaking work being done "outside the corporate space," such as the ability to track rising food prices in third world countries or predict outbreaks of the flu. He also gives a timely acknowledgement--considering all the New Year's Resolutions being broken as we speak--of the self-tracking phenomenon.

Organizations such as the Quantified Self group, are promoting the idea that individuals can leverage big data apps to learn more about themselves through smart tracking and analyzing personal data. Here are a few examples:

  • Nike Run Plus is a simple mobile app for runners that displays your average pace and calories burned, while taking into account external factors, such as terrain and weather.
  • Mood Panda allows you to track your mood over time to spot patterns of feeling particularly upbeat or depressed
  • OPower is a glimpse into the smart home of the future. It is a WiFi thermostat that responds to the data you supply it with, such as your actual living habits.
  • Big data gets even more personal when it gets into your pajamas. The SleepShirt analyzes your sleep patterns based on respiration patterns.
  • And Pebble delivers data analysis on the go and reportedly does your thinking (your analysis) for you.

For more:
- see The Next Web article

Related Articles:
The efficacy of trend analysis using personal health apps
Deferring to differential privacy
Challenges for big data in health care