The 5 worst big data privacy risks (and how to guard against them)

Data analytics may well save the world from a lot of problems, but it is time to address its internal problems. Since big data analytics includes a lot of data, the natural inclination would be to consider this data as capital and maximize business opportunities. However, whatever may seem capital to an enterprise is a remarkably private piece of information. Hence, it is natural that privacy concerns and risks are becoming introspective domains of big data and organizations are try to locate the fault lines along which malicious forces would try to enter and manipulate this data without any kind of consent or remorse. The five biggest fault lines thus far are-

Discrimination

Since big data allows an enterprise to know everything about an individual, it is natural that the individual freedom will be curbed heavily and you will be facing unusual problems during decision making. For example, if a company uses big data on your profile and decides upon your behaviour or candidature beforehand, then it is highly likely that the company has already decided and your interview may well be a formality. It becomes a legal concern at a point since this can lead to severe discrimination and faulty evaluation.

Data is breached here and there

Data breaches are the most obvious type of attacks on privacy and there has already been multiple cases of such breaches, ranging from retail chains to administrative databases. Large amount of private data has often been left unguarded and you may well face a serious situation such as credit card fraud or identity compromise. Surely, there is no way you can reassure yourself that you will not be inflicted by more severe cases of data breaching where your physical safety is risked. Such can be the implication of these scenarios.

Anonymity is past tense

Your identity cannot remain anonymous, it is as simple as that. No matter how much you try, your identity is stored across databases, your records are shared across enterprises and your movement are tracked by agencies. No matter how much people claim to encrypt data and make it anonymous, everything you do has some kind of digital footprint or the other. In fact, individuals relying on smart devices and digital platforms are the greatest victims of this problem. Even devices like TV or cars are being tracked to gather both primary and secondary data about your identity.

Government has no privacy

Since biggest government agencies that collect sensitive personal data are exempted by the special acts, you can never know what they are doing with your data. The lack of liability and answerability makes your vulnerable more than ever. As more government agencies are sharing data, their claim to be impersonal and accurate may well be false and it is highly possible that you are always under surveillance. In fact, the more government agencies try to affirm that the government is not an eavesdropper, the more there is a chance that they most likely are.

Brokers have data

Your data may well go to an enterprise with whom you share consumer relation. Most individuals would be perfectly happy to know that a particular enterprise with whom they share firm customer relationship are using their data. However, unbeknownst to them, your data is bought by middlemen and brokers who then sell it off to other enterprises. Your data is auctioned, and often sold like stocks from one enterprise to the other and brokers mediate the price. Surely, you would not entertain such practice had you been aware of the scenario. Such are the risks of complying with big data.

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BI Consultant

DataFactZ is a professional services company that provides consulting and implementation expertise to solve the complex data issues facing many organizations in the modern business environment. As a highly specialized system and data integration company, we are uniquely focused on solving complex data issues in the data warehousing and business intelligence markets.

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