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In the Age of Big Data: Is Privacy Just a Myth?

The influence of big data can increasingly be felt across industries. More and more organizations are becoming reliant on big data analytics when it comes to fulfilling their business operations. The digital landscape has been changed by big data.

Technology
  • Release Date: 17 October 2023
  • Author: Speaker Agency

In the Age of Big Data: Is Privacy Just a Myth?

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The influence of big data can increasingly be felt across industries. More and more organizations are becoming reliant on big data analytics when it comes to fulfilling their business operations. The digital landscape has been changed by big data.

If a business wants to flourish, then they need to use big data to generate the insights that will help them succeed. There are certain industries where big data has more use than others. Take for example the generation of which items will be most popular in the upcoming season - this can be done more easily and accurately with big data. With the help of big data, businesses are given a basic framework that allows them to improve their relationship with their consumers.

With big data becoming so popular for businesses, the issue around big data privacy is also becoming important. Businesses are increasingly using the insights that big data generates in order to grow their businesses. This is happening while business owners fail to consider big data privacy issues and how they can affect their business.

What Is Meant By Big Data Privacy Issues?

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There are various threats and vulnerabilities that are associated with big data. These are often ignored as businesses continue to harness the power of big data to thrive. Big data privacy issues refers to any breach that businesses might find themselves dealing with, when it comes to protecting vital business information. Knowing about big data security can help you protect your business. 

It seeks that the IT landscape is on the brink of another vulnerability. Before this happens, business owners will need to strengthen their understanding of big data and privacy. So what are the big data and privacy issues that you should be wary of?

1. Breaches Causing Obstruction Of Privacy 

Privacy concerns in the big data era becoming more and more commonplace. At the same time, digital phenomena like personalized marketing are becoming popular. This has led to people wondering if their privacy is safe. Privacy online consistently seems to be declining.

There are privacy breaches that are made possible due to big data analysis. Businesses should adopt the practices of organizations that are security-centric, to protect their data. Through big data, often predictions are made using customer details. These details can be very personal, which is why if they fall into the wrong hands, you could lose the trust of the customer.

Valueable and sensitive information should be protected from data breaches.

2. No Room For Anonymity 

Data privacy challenges in the digital age are becoming more common. These days, being anonymous on the internet is a lot harder than it looks. As businesses turn to big data analytics, becoming anonymous on the internet becomes harder. This is as businesses don't use anonymized data. Instead, raw sets of data are used to make predictions, which could reveal the identity of consumers. This means that people have far less privacy than they thought they did.

Even in the rare circumstance where a certain data file is anonymized, professional security teams could still identify the identity of the anonymous individual. These days, the IoT connects millions of smart devices, making online privacy ever harder to come across.

3. The Failure Of Data Masking 

The relationship between big data and personal information is tenuous in the current digital landscape. Big data and privacy issues are becoming more talked about. Organizations, to protect confidential information from cybercriminals, use a process called data masking. This is where the actual data is hidden within other characters or data, which are not as important. This is usually done to protect sensitive information from individuals that aren't authorized.

SaaS aggregation of data is actually highly perceptible to data breaches, this makes software industries wary about data privacy. When data masking is not done properly, it could fail to protect valuable information. Since big data analytics are still new, businesses often don't weigh in the security risks associated with using it.

Businesses need to establish policies that clearly lay out what the rules for data masking are. They should then ensure that these rules are being followed by all employees. 

4. The Inaccuracy of Big Data 

Protecting privacy in data analytics is becoming increasingly important. A huge surprise for businesses is that big data isn't as accurate as people expect it to be. There's no doubt that the insights provided by big data analytics can be useful, but there have been times when the analysis wasn't correct.

This can happen when algorithms are flawed. Using data models that are incorrect can also cause this. This can be extremely dangerous for consumers. A patient could be given a misdiagnosis, people can lose their jobs, and more. Should businesses use the faulty data analysis that they get, this can cause their business to suffer.

5. Patents And Copyrights Are Ignored 

Ethical issues in big data usage are being brought up more frequently. Not only are patents and copyrights ignored during data analysis, securing new patents becomes more challenging as well. This is as with big data now becoming common, verifying whether a patent is unique or not takes more time.

Copyrights suffer as well, since using big data makes data manipulation possible. This can send royalties from published materials down to low numbers.

6. Issues With Discrimination 

Big data privacy and security challenges are more commonplace. Discrimination has also poked its head into the world of big data and its use. Big data makes it possible for businesses to easily gather data on potential customers, and then use that data against them.

Take for example a bank dealing with a person who wants a loan. It's now possible for the bank to use predictive analytics to find out information like the race of the applicant. They can then use this information to reject the applicant in what is being termed as 'automated discrimination'. 

These were some of the major big data security issues that you should know about. 

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What Are The 8 Data Protection Principles?

  The Data Protection Act of 1998 was updated in 2018. By 2018, data collection had changed and how the collected data is handled also changed. The DPA of 1998 had eight data protection principles. By 2018 these were developed by the GDPR of the EU. These principles include:

  • Principle 1 - on being fair and lawful
  • Principle 2 - on purposes and limitations
  • Principle 3 - on the minimization of data
  • Principle 4 - on accuracy
  • Principle 5 - on storage limitation and retention
  • Principle 6 - on rights
  • Principle 7 - on security, integrity and confidentiality
  • Principle 8 - on the accountability principle
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Conclusion

Big data privacy issues are becoming more talked about these days. As more and more businesses turn to using big data analytics to grow their businesses, the need for data privacy increases. This guide takes you through why big data is becoming more important and what security issues it might cause.

The speakers at Speaker Agency can take you through everything you need to know about big data and how it's changing the world. Attend talks, book a speaker or set up a conference with the help of Speaker Agency.

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