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Big Data Role in Obama Re-Election
The volumes, rapid velocity and variation of data otherwise referred to as Big Data has been used in the electioneering process especially in terms of directing the trends of voter psychology and the subsequent voting patterns, a specific example being the Obama reelection process that took more of the internet direction than the traditional door-to-door approach in the campaigns. This paper will hence expound on the way Big Data has been and can be used in the monitoring and manipulation of the internet users especially the voting block, how this data can be mishandled and the possibility of infringements into the privacy of the individuals whose data is online. It will also evaluate the possibility of having checks on the handling, storage and use of personal data that is online.
Literature review
There have been varied uses of the Big data in the contemporary society where information interconnectivity is of essence and inevitable. In an interview, Christine Twiford, a pragmatic enterprise executive at T-Mobile indicated that the Big Data has been...
Discovery using the Big Data can be in all fields, from the science field to the business area where the already stored data can be used to discover the preference of the clients and their spending habits. Again it can be used to discover how a given population views politics and what it takes to change their minds and effectively manipulating the populace. Decision making using the information in the Big Data can as well be effected in voter understanding and changing campaign tact and wining more votes. The Big Data can and has been a source of great political persuasion where the displayed numbers are used by analysis to shape the political persuasions of people with the greater number of people who agree with a given ideology or person having the likelihood of persuading the others to join them, by the sheer numbers obtained from the Big Data banks. In the future, the Big Data will be used to know the levels of satisfaction that a given geographical area has with a particular political candidate, these will be obtained from…
References
Hiner J., (2012).How big data is being used today: Three ways. Retrieved June 27, 2014 from http://www.zdnet.com/how-big-data-is-being-used-today-three-ways-7000005714/
Lenard T. & Rubin P., (2013). The Big Data Revolution: Privacy Considerations. Retrieved June 27, 2014 from http://www.techpolicyinstitute.org/files/lenard_rubin_thebigdatarevolutionprivacyconsiderations.pdf
Wakefield J., (2013). Tomorrow's cities: How big data is changing the world. Retrieved June 27, 2014 from http://www.bbc.com/news/technology-23253949
Big Data Faris (2013) speculates as to whether NSA leaks will compromise big data's future. The article, published on the website Dataversity, notes that there is public concerns about data leaks at NSA. Consumers are becoming more aware about just how much of their information is available to the government. The author calls into question the dichotomy of private data and public data, in particular were corporate entities are gathering data,
Problem Statement Our company is in the fashion industry specializing in discounted designer clothes and accessories for men and women. We currently have a brick and mortar location and a small online presence. The owner’s goal is to promote growth of the online store and become customer centric. Through the expansion of the online presence, the owner wants to get the process streamlined from brick and mortar to the online platform. Two
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Zaslavsky is the leader of the Semantic Data Management Science Area (SMSA). He has published more than 300 publications on science and technology. Perera has vast experience in computing and technology as he is a member of the Commonwealth Scientific and Industrial Research Organization alongside publishing numerous journals. Georgakopoulos is the Director of Information Engineering Laboratory. He has published over 100 journals on issues related to science and technology
Big data is a new frontier in innovation, characterized by vast data sets that require extensive computer processing to spot trends, and improve productivity. The ability to gather such data sets and effectively translate them in to strategy is seen as a new way of competing and innovating (Manyika et al., 2011). My area of interest is fashion, an area where creativity remains more important than data processing. Yet, big
Big Data Nowadays, enterprises are employing statisticians when carrying out sophisticated data analysis. This is caused by the increased affordability in data acquisition and data storage among large scale and small-scale enterprises. This article focuses on highlighting the emerging Magnetic, Agile, Deep (MAD) data analysis. This is figured out as a shift from traditional enterprise data intelligence. The article presents its design philosophy as well as experience and techniques that portray