TyroCity

Discussion on: Big Data: ethical implications & example

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ujjwal_poudel

Wallace (2015), in their book Introduction to information systems, big data refers to extremely large compilation of data that are diverse in content and are acquired faster and are difficult to hoard and interpret using traditional approaches. It can facilitate to collect, store, and process that makes ability to translate increasingly large and complex data sets into a variety of sources which converts into competitive advantage.

Today, the tremendous growth of social media and consumer-generated content on the Internet has inspired the development of the so-called big data analytics to understand and solve real-life problems. The utility of big data analytics to better understand important hospitality issues, namely the relationship between hotel guest experience and satisfaction (Xiang, Schwartz, Gerdes Jr, & Uysal, 2015). In the same way, governmental organizations, banks, corporate etc. are also holding the big data to retrieve their citizens’ details, banks’ customers’ details, and corporate customers’ details.

The big data that we generate through website, mobile applications, and social media are accessible for strategic planning, and opens up a wealth of opportunities for managers seeking insights about their markets, customers, industry, and more. It often becomes the main source of business intelligence that managers tap to understand their customers and markets, and make strategic plans.

Now for the ethical concerned, the definition of business morals, rules, code of conduct, principles gets changed which provide guidelines for right and truthful behaviour in specific situations.

Security in today’s world is one of the important challenges that people are facing all over the world in every aspect of their lives (Basharat, Azam, & Muzaffar, 2012). It is true that the data and its accumulation help improve customer care service in many ways. However, such huge amounts of data can also bring forth many privacy issues, making Big Data Security a prime concern for any organization. So far, organization are working on it by using computational security and other digital assets in a distributed framework like MapReduce function of Hadoop, mostly lack security protections.

Transparency, today’s consumers have access to a wealth of free tools and resources. From email to social media, some of the most important parts of lives which are happening on platforms that have never once requested our credit card information. At the same time, these data collection and advertising models are illuminating a greater need for transparency in the tech space. This is why; it is said that consumers should expect to see companies falling on a spectrum. The situation may not be one or the other.

References

Basharat, I., Azam, F., & Muzaffar, A. W. (2012). Database security and encryption: A survey study. International Journal of Computer Applications, 47 (12).

Xiang, Z., Schwartz, Z., Gerdes Jr, J. H., & Uysal, M. (2015). What can big data and text analytics tell us about hotel guest experience and satisfaction?. International Journal of Hospitality Management, 44 , 120-130.

Wallace, P. (2015). Introduction to information systems . Pearson Higher Ed.