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What is Big Data Analytics? - Definition & Examples

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  • 0:04 Big Data Analytics Definition
  • 1:08 Big Data Analytics Importance
  • 2:26 How Big Data Analytics Works
  • 3:28 Lesson Summary
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Lesson Transcript
Instructor: Brianna Whiting

Brianna has a masters of education in educational leadership, a DBA business management, and a BS in animal science.

Companies often have an abundance of data to comb through. It can be difficult to know how to interpret all of that data. One method that has helped make that task more manageable is using big data analytics. Let us take a look now!

Big Data Analytics Definition

Meet Zane. Zane has decided that he wants to go to college to get a degree so he can work with numbers and data. After speaking with his academic advisor, he decides to take a class that focuses on data. After just one short week in the class, Zane receives his first assignment. He has to write a paper about big data analytics which is the term used to describe the examination of large amounts of data to see what patterns or other useful information can be found. Come along as Zane learns all about the topic of his first paper.

Zane first learns that users of big data analytics not only look at data, but also collect it, organize it, and analyze it for relevant information. The aim is to find patterns, correlations, and information that can help a company make important decisions. Ultimately, the goal of big data analytics is to find all of the knowledge that the data can provide for a company. Scientists, modelers, and many others in the analytics field use big data analytics to sift through large amounts of data that can come from a variety of sources, like transactions, web servers, social media, surveys, and even emails.

Big Data Analytics Importance

So one question that comes to Zane's mind is, why is big data analytics important? Why would a company use this technique? Well, companies need to make decisions. Making future decisions, finding new opportunities, making business moves, creating a more efficient operation, and even increasing the satisfaction of their customers are all decisions a company could make. Zane learns that big data analytics can help a company reduce costs by identifying more efficient ways of doing those activities.

For example, resorts and casinos use big data analytics to help them make fast decisions. Because we typically only stay at a resort or casino for a short time, it's important to be able to find any potential problems quickly so that the customer is satisfied and returns in the future.

Another example is the healthcare industry. There's a vast abundance of data in the healthcare industry, including patient records and insurance information. Because there's so much data, it can be difficult to manage. Big data analytics allows for a thorough look at the data and can lead to a faster diagnosis or treatment plan.

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