Wednesday, May 10, 2017

Ethical Issues in Big Data Industry

Recently, I have read a case study where it stressed on ethical components used in big data industry. I always wonder, how the big data transforms to so simple data for making trendy business decisions. Big Data tailors  information from various sources to create knowledge and to make better predictions and combine the services. This article analyzes Big Data as an industry but not as a technology and  addresses the ethical issues that the current market world faces. The issue raises when the customer data has been resell. I always wonder, how the companies store the customer databases for years and retrieve the information and targets to specific customers based on the database source.  Of course, there are remedies to eradicate this issue.

Let us look at the issues and how we can foster them to replicate the issue in order to resolve it.

It receives a lot of attention  and the combination of greater size and complexity of data with advanced analytics has been effective in improving national security. It makes marketing more effective by reducing  the credit risk. I already discussed about the trends in big data industry in previous article. However, we all know the importance of big data industry yet it has also been criticized as a breach of privacy and potentially discriminated, destroying the relationship and also just leaving creepy results. While generating large and complex data sets, data scientists uses predictions and generalizations. From this, big firms makes use of Big Data that targets individuals for products where they did not know they needed. In turn, the  ignored citizens will affected a lot where they will be informed as pregnant out of their notice. Seriously, this really happened when Target targeted the teenager by sending coupons about pregnancy and post pregnancy products. This is just worse than ever, and we can imagine how the improperly blind data can affect. We are not here to complain on this, but we can raise our voice and confess our advocacy on this sensible issues. So that companies can take necessary precautions on preventing this miscommunication that happens through big data.

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2 comments:

  1. Data science is the most challenging source for all data emerging business entities.

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  2. Interesting trends in data science.

    ReplyDelete