Privacy being violated by Big Data
The modern society is data-centric.
More than ever, there is an overreliance on technology and real-time data in
activities such as online shopping and social networking. Despite the existence
of numerous advantages on the use of such data, concerns arise regarding the
collection of a substantial amount of
information that constitutes an invasion of user’s privacy.
Big data entails personal information
that marketing corporations use to create significant new opportunities for the
technology-centric customers (Manyika et al., 2011). As a result, big data
analytics emerges as a trend that is at odds with business ethics. Notably, it
presents both strategic and technical capabilities to derive value from the
business corporations’ stored information (Zikopolos & Eaton, 2011). Over
time, the success of business data analytics prompts additional violation of
consumer privacy and security.
Recommendations
to Optimize Consumer Privacy Bill of Rights
The uncertainty on how corporations
utilize big data concerns the consumer. Hence, more than 51% are unwilling to
share their personal information (McAfee et al., 2012). There are several
factors that can be used to uphold the bill of rights on privacy. First, the
government should grant the customers the control over the type of information
collected by the corporation (McKenna et al., 2012). An empowerment such as
this not only improves transparency but also leads to awareness creation on the
consumer’s rights. Second, the state should give consumers a platform to voice
their concerns for inclusion in the existing bill of rights. Most importantly,
the drafters should review the bill periodically to update on the latest
technological development (Tene & Polonetsky, 2012). If they do this, the
customers will hardly become victims of malicious big data mining by hackers or
unethical business firms. Finally, the government should conduct an extensive
research on the market practices to detect existing big data flaws and to
provide solutions respectively.
References
Manyika, J., Chui, M., Brown, B., Bughin, J.,
Dobbs, R., Roxburgh, C., & Byers, A. H. (2011). Big Data: The Next Frontier
for Innovation, Competition, and Productivity. London: Oxford Publishers.
McAfee, A., Brynjolfsson, E., Davenport, T. H.,
Patil, D. J., & Barton, D. (2012). Big Data. The Management Revolution. Harvard
Bus Rev, 61-67.
McKenna, E., Richardson, I., & Thomson, M.
(2012). Smart Meter Data: Balancing Consumer Privacy Concerns with Legitimate
Applications. Energy Policy, 41, 807-814.
Tene, O., & Polonetsky, J. (2012). Big Data
for All: Privacy and User Control in the Age of Analytics. Nw. J. Tech. & Intell. Prop., 11, xxvii.
Zikopoulos, P., & Eaton, C. (2011). Understanding Big Data: Analytics
for Enterprise Class Hadoop and Streaming Data. London: McGraw-Hill Osborne
Media.
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