Humanizing Big Data

January 9, 2013

HUMAN FACE OF BIG DATA
Some App Results

In less than two months, more than 3 million share and compare questions have been answered, in more than 100 countries, through “The Human Face of Big Data” smartphone survey app.

By collating and analyzing these 3 million+ responses we gained some insightful conclusions related to the attitudes and approaches to life from men and women, young and old, all over the world. Here are just a few of the most interesting findings…

In asking the question “What is most important for good health – diet, exercise, environment or genes?” we discovered that Americans are more likely to believe that good health is in their hands, choosing diet and exercise, while Europeans seem to believe their health is predetermined or out of their control, predominantly selecting either genes or environment

In response to the question “What do you do to help cope with stress most?” we learned that as we get older work and prayer tend to replace friends or the arts as our primary means of stress relief, indicating that older generations prefer to bury themselves in work or deal with stress on their own, rather than by seeking entertainment or distraction
When asked “If I could alter the DNA of my unborn child I would improve their: lifespan, intelligence, immunity or appearance” the findings showed that Americans are most concerned about their children’s education and job prospects, while Europeans worry most about their children’s health, perhaps reflecting the current unemployment rates and standards of available healthcare in these two nations.

While these findings give only a brief snapshot of the world around us, the goal of this app was to encourage people to embrace the subject of big data and to consider its potential to help us shape and change our daily lives. Hundreds of striking examples of ways this is already happening are illustrated in the photographs, infographics and essays within the Human Face of Big Data book.

The anonymous data complied from the app will be made available for educators, data scientists, researchers and the general public to access as a valuable research tool, in order to conduct further in-depth sifting and sorting of the results, that may one day be considered an invaluable snapshot of human history.


Mobility and Big Data: Why They Need Each Other to Thrive

January 9, 2013

Mobile devices and apps will generate seven exabytes of data by 2015, a number that will continue to double and perhaps triple each year. Not only are huge volumes of data/content being communicated through mobile networks, but there has been unexpected growth in related communications and transactions, such as:

  • Salesforce.com getting 60 percent of its “transaction volume” from mobile devices
  • Pandora delivering 60 percent of its music minutes to mobile devices
  • Facebook getting 30 percent of its traffic from mobile
  • Twitter getting 55 percent of tweets from mobile

This dramatic growth, coupled with low-cost, large-scale data architectures, is making it possible for “Big Data” to capture, analyze, and act in real-time to maximize the impact for business. But I would argue that big data and mobile are also intertwined, and the total societal impact of one depends on the other.

The unique benefits of mobile—ubiquity, immediacy, and relevance—are magnified by big data. To fully leverage these attributes, mobile solutions need to be location-aware (ubiquitous), real-time (immediate), and context-aware (relevant). Seventy percent of mobile apps are abandoned within the first two months after being downloaded, due in large part to the fact that they are not enterprise-class, not connected to the data and analytics that make them engaging, and therefore not leveraging the attributes of mobile. Big data is becoming a critical element in meeting these demanding expectations from the user.

Together, mobile and big data provide an opportunity to not only offer users convenience and utility, but to actually drive behavior change. A health insurance company, for example, might deploy a consumer-facing app that mashes up claims data with public health data and personal fitness/wellness data from other consumer apps. This creates the opportunity for powerful analytics to help guide the consumer to make better health decisions based on a real-time view of their current condition and available options.

Sustaining behavior change is critical to virtually every industry, whether it’s getting a patient to follow their prescribed therapy (only 70 percent do so in the U.S.), encouraging an employee to save more for retirement (there is only a 3.6 percent savings rate in the U.S.), or getting an energy customer to make more efficient decisions (the average U.S. household wastes 25 percent of its energy). This is where mobile and big data can play a significant role. By marrying context, personalization, and knowledge of potential actions/offers using mobile and big data/analytics, the impact of retail, healthcare solutions and beyond could be improved drastically.

Where big data is accelerating the sustaining of behavior change, it is also accelerating the convergence of people and objects. There are now nearly 10 billion things connected and only about half of them will be mobile phones. Yet up until now, the hundreds of millions of connected objects—truck fleets, environmental sensors, smart meters, etc.—were considered part of the closed “Machine-to-Machine” or M2M world. This is changing. Fueled by the integration of technologies such as Wi-Fi, Bluetooth, QR Codes, and NFC into mobile devices, we are lowering the barrier for people to interact with objects, and opening up a new category of innovations we call P2M, or “People to Machines.”

Very soon, we will not talk about mobility or big data but just real-time, personalized interactions that drive business impact, anywhere, anytime, on any screen. Now that’s powerful.

via Mobility and Big Data: Why They Need Each Other to Thrive | Xconomy.


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