Efficiency and Big Data
On face value, Big Data plays out like some nightmarish dystopian vision: Every click of a button and every tap of a button is recorded and then...well the vision (at least the nightmarish part) stops there. What follows is the intriguing question of what all this data is being used for. One could argue that it's being used to help tailor the individual needs of consumers shopping online, synthesize information about the world around us and help researchers with otherwise incalculable evidence. However I would argue that one of Big Data's most important uses is creating efficiency in a variety of contexts.
In my first year at university, I was constantly frustrated because I always found myself rushed in the mornings, leading to an unnecessarily stressful day. Waking up earlier wasn't an option because I really, really loved spending time with my bed and setting an alarm early would guarantee the hitting of the snooze button...a lot. So I decided to time myself doing every single activity which I might do on a particular morning for seven days. I calculated the averages, and found myself with a bunch of statistics which helped me measure down to the second how long I would need to get ready in the morning. I can now set my alarm so that I will be on time to whatever hideously early class I have that morning, but my brain can't trick my sleepy self into hitting that snooze button, because I will either be late or have to skip breakfast (and a day without bacon and eggs is a sad day indeed).
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In a similar but much more complicated way, Big Data can help all humans become more efficient. Of course, it's not about the data itself, but how that data is used. Consider UPS, who have installed telematic sensors in their vehicles to collect data. Information such as vehicle speed, direction, braking and drive train performance are monitored in conjunction with online map data to optimise the drivers' route structures. In 2011, UPS saved over thirty two million litres of fuel (SAS, 2014).
It seems that Big Data comes with some seriously big results, and the potential is endless. Some estimates predict that the correct implementation of Big Date could save the United States healthcare system up to three hundred billion dollars annually (Saracino, 2013).
We live in an exciting time, and with any luck, Big Data can be used to optimise the efficiency of everything we do.
References:
Harrington, Stephen. 2013. “Ch 18 Tweeting about the Telly: Live TV, Audiences, and Social Media.” In Twitter and Society edited by Katrin Weller, Axel Bruns, Jean Burgess, Merja Mahrt & Cornelius Puschmann, 237-248. New York, NY: Peter Lang.
Saracino, Adria. 2013. "Interesting Ways Business Use Big Data To Improve Personalisation". http://www.clickz.com/clickz/column/2263262/interesting-ways-businesses-use-big-data-to-improve-personalization. (Accessed 11/05/2014)
SAS. 2014. "Big Data". http://www.sas.com/en_us/insights/big-data/what-is-big-data.html. (Accessed 11/05/2014)
Siegel, Eric. 2013. “Introduction – The Prediction Effect.” In Predictive Analytics, 1-16. Hoboken, NJ: John Wiley and Sons Inc.














