When you search, What is Big Data analytics ? You will find lots of result related to Big Data definition. But, When it comes to practical understanding of Big Data, You need to figure real life Big Data examples.
Most of examples that use big data analytics include the healthcare industry, travel and hospitality, restaurant, logistic and retail etc. So you will understand the big data analytics is a one kind of software and tools such as data mining, Hadoop, text mining, and predictive analytics.
In this article, we will talk some amazing real-life big data analytics examples of industries that make use of big data today. This should help you to get idea of why big data is most needed for various industries today.
Big Data Examples:
Retail Industry:
We have put retail industry of first big data example. All companies always keep maintain retail data like transaction history. But by using big data analytics we can gather many type of data which helps us well informed business decisions which improve profit.
By using big data we can track our social media buzz and shares about our products and services and perform big data analytics on that data. This kind of analysis many new things that we have never seen before. We could also predict that a customer might have to switch to a competitor.
Retail companies can also identify credit cards fraud by using big data along with artificial intelligence.
Medical Industry:
What Is Big Data In Healthcare? The application of big data analytics in healthcare has a lot of positive and also life-saving outcomes.
Big data indicates to the large quantities of information created by the digitization of everything, that gets consolidated and analyzed by specific technologies.
As a response to the digitization of healthcare information and the rise of value-based care, the industry has taken advantage of big data and analytics to make strategic business decisions.
Transportation Industry:
Big Data at its core is perfectly large amounts of data collected from many different sources, with operation systems, vendor interactions, weather reports, customer interactions, social media, vehicle diagnostics, mobile devices, and online activity.
Benefits of Big Data in Transportation:
- Enhanced Knowledge
- Improved customer service
- Efficient Operation
IT Industry:
We can secure procedure in IT sector by using big data like 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.
Big Data in Banking Sector:
Big data analytics, or applications of data mining in banking, can help improve how banks segment, target, acquire and retain customers.
Additionally, improvements to risk management, customer understanding, risk and fraud enable banks to maintain and grow a more profitable customer base.
Conclusion
As We can see, we are using Big Data analytics maximum 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.