Predicting The Future With The Past
Darryl Woodford presented this week’s topic New Media, Big Data and Telemetrics. It was very interesting, as I had not looked into data before. It made me realise just how much information is out there and how much of it is mine. It reminded me a lot of an exercise we did in the first few weeks of tutes where we wrote down all the social media interfaces and online accounts that we had. I think we came up with at least 25 that a majority of people had opened since being active online. Whether or not you use all the accounts the data is still out there somewhere, which is a scary thought.
I was really interested in the idea of telemetrics and utilising to find out where your audience is. It really relates to my career in the film industry and how I can incorporate it into transmedia marketing for my third year films and into the future (Woodford, 2014).
In Seigels paper, The Prediction Effect, he explores what is predicable with data collected though internet statistics. The answer is pretty much anything you want! Some examples I found interesting were: Energex predicting the energy demand, personalized shopping coupons by UK supermarket giant Tesco and those super awkward online dating sites (Seigel, 2013). I've always known through eHarmony ads that they use some form of compatibility scheme to match people with their "soul mate" but it never occurred to me that they would actually use“real" data to make these matches. They actually have a copyright name for their data prediction programme: eHarmony Compatibility Matching System™(eHarmony, 2014).
An interesting point that Seigel also raises is that predication of the weather, which had been around for years, well before the Internet is only 50% accurate. Predicting data relating to humans is much less accurate. However we can eliminate these inaccuracies and risks by directing the data to the right people through marketing. The two go hand in hand with each other.
Because this is my last blog for Internet Self and Beyond (and probably forever) I guess I should sum up a little of what I've learned but Im just going to leave you all with my favourite viral goat video because what I've learned in this subject is that anything can happen on the internet and that everyone needs more goats in their lives :) Till next time!
https://www.youtube.com/watch?v=5IuRzJRrRpQ
Woodford, Darryl. 2014. “KCB206 Internet, Self and Beyond: New Media, Big Data and Telemetrics.” Accessed May 12, 2014. http://blackboard.qut.edu.au/webapps/portal/frameset.jsp?tab_tab_group_id=_4_1&url=%2Fwebapps%2Fblackboard%2Fcontent%2FlistContent.jsp%3Fcourse_id%3D_108110_1%26content_id%3D_5232451_1
Siegel, Eric. 2013. “Introduction – The Prediction Effect.” In Predictive Analytics, 1-16. Hoboken, NJ: John Wiley and Sons Inc
eHarmony Australia. 2014. “Company History". Accessed May 1, 2014. http://www.eharmony.com.au/about/eharmony/
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