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Ultimate List Of Big Data Examples in Real Life

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Ultimate List Of Big Data Examples in Real Life

In this article, we'll go over what makes data 'big' and some awesome real-life big data examples to demonstrate the utility of big data.

· Big Data Zone ·
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Big Data is everywhere these days. In this article, I will give you some awesome real-life big data examples to demonstrate the utility of big data.

Let me start this post off with what big data is...

Big Data is data that is too large or comes in at too high of a velocity to deal with using normal data systems like Relational Database Management Systems or RDBMs. You more than likely have heard of the three V's of Big Data which are increasingly are referred to as the four V's of Big Data:

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It is a no-brainer that big data consists of data that is large in volume. Normally, we can consider data as big data if it is at least a terabyte in size.


Big data can arrive at high velocities like real-time data and have to be processed in near real-time.


Since we collect as much data as possible, this means that big data can be varied. It can be structured or unstructured data. Additionally, it can be video, pictures, audio, and sensor data. Big Data solutions need to be able to handle this variety.


Lastly, big data has to be of some value to your organization. In order to be of value we have to make sure that it is correct.

In this article, we will discuss some real-life big data examples of industries that make use of big data today. This should help you get a good idea of why big data is important today.

Checkout this video for more about what big data is:

Big Data Examples

Retail Industry

Our first Big Data Example is the retail industry. Companies have always collected retail data like transaction history but now that we have big data we can pull in other types of data to help us make better-informed business decisions which increases profit.

Take for example social media. With big data, we can track social media discussions and shares about our products and services and perform big data analytics on that data. This could give us insights into the data that we have not been able to see before. We could identify the probability that a customer might have to switch to a competitor.

In addition, with big data, we can get better insights into our customers buying habits via loyalty program data. We can use deep learning to analyze our customer behavior and predict when the best time to promote a product or service is for a set of customers with similar buying habits.

Lastly, artificial intelligence used with big data can help retail companies identify credit card fraud quickly and more precisely.

Medical Industry

According to an article on dataconomy.com the health care industry could use big data to prevent mediation errors, identifying high-risk patients, reduce hospital costs and wait times, prevent fraud, and enhance patient engagement.

In addition, artificial intelligence is being used to help analyze radiology data like MRIs and XRays, which could reduce the number of exploratory surguries.

Transportation Industry

Big data can be found in the transportation industry to help with asset management, road infrastructure management, traffic management, and supply chain management.

Big data helps to solve some of the worst traffic problems by using machine learning to better identify ways to mitigate traffic management issues. Using deep learning, artificial intelligence-based applications can make use of surveillance data to identify traffic problems and suggest solutions to those problems.

Information Technology Industry

In IT, big data is being used to mitigate spam by using artificial intelligence to better identify the probability that a particular email might be spam. Deep learning algorithms help identify spam by being trained to identify historically identified pieces of spam email.

In addition, big data and machine learning are used to better analyze system and applications logs to identify issues proactively and alert administrators more effectively.


As you can see, we are using Big Data solutions more and more these days. One thing that big data needs is knowledgeable data engineers and data scientists that have domain knowledge and understand big data at a root level. I hope you have found this article on big data examples in real-life interesting.

If you would like to learn more about big data then checkout my free course Introduction to Big Data available now on AdminTome Online Training.

Also be sure to check out other great big data articles on the AdminTome Blog.

big data ,data analysis ,data scalability

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