Big Brother & Big Data!
Like most of the young tech savvy media and communications students at my university, I am an avid user of social media platforms. Communicating to friends, family and the people I follow with a naïve disregard for the digital profile I am creating with every click. Data is possibly one the most valuable resources in the digital world. Harvested by your every web interaction and analysed by commercial giants in order to deliver commercial content with precision. Welcome to the world of big data, where big brother knows you better than your own mother!
(How big data is changing the world - Online news corporation)
The concept behind collecting data is simple; create a sociological profile from an individual’s online behavior in order to predict that individual’s future behavior. Eric Siegel the author of predictive analysis: the power to predict who will click, buy, lie and die explains that the value is not in the data alone, it is in ‘machined learning,’ computer generated statistical inference that enables accurate predictions to be made from data collected (Siegel, 2013). Therefore personal data is harvested, computer analysed and profiled in a way so that, consumer behavior, democratic behavior and personal behavior can be predicted through our online habits.
As an advertising and media and communication student this kind of information is vital for the future of advertising. Expensive and ineffective models of marketing such as ‘pay and spray’ will become extinct and interactive ‘push and pull’ models will become more prevalent due to the accuracy firms will have with large databases.
At the moment I currently work for a marketing software company that uses survey technology in order to harvest consumer databases for other businesses. It works by distributing surveys through social media platforms and eDM’s with an incentive attached to entice respondents and increase viral sharing. Once a consumer completes the survey and enters the competition, the response and the contact particulars of the respondent are collected and profiled, allowing the business to complete an individualistic and precise re-marketing campaign. The company I work for did not exist when I started my degree and the future of database profiling is sure to become more dynamic over time.
https://www.youtube.com/watch?v=raJOkguPrH4
(The Dark Side Of Big Data - The Economist)
However with a bright future for advertising and marketing companies, data collection paints a bleak picture for digital privacy. The Economist posted a video titled The darkside of big data, which states that “the average privacy policy takes ten minutes to read” and “that 72% of privacy policies allow access to third parties to track internet activity” (Economist, 20120. Therefore the next time you accept a privacy policy or terms and conditions it might be wise to find out what your are really agreeing too, otherwise you may become the next predictable marketing target.
References:
Siegel, Eric. 2013. “Introduction – The Prediction Effect.” In Predictive Analysis, 1 – 16. Hoboken: John Wiley and Sons Inc.
The Economist, 2012. The dark side of big data. Accessed on May 11, 2014 via https://www.youtube.com/watch?v=raJOkguPrH4











