Big Data Uses Explained with Examples

Big Data Uses Explained with Examples

Why Use Big Data?

Big Data has grown to become every industry’s favorite with all the benefits it brings along. It seems to have left no stone unturned and continues to find its applicability in various sectors. However, several companies/businesses lack planning and strategy on ways to use Big Data effectively.

In this blog, we’ve come up with some important and effective ways one can use Big Data. Read on to know more!

Table of Contents:

Why use big data?

How to use big data effectively?

List of top big data uses

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How to Use Big Data Effectively?

Here’s a list of Top Big Data Uses.

 

Big Data Uses #1

Understanding targeted customers:

One of the major areas where Big Data is being used is the one that is closely related to customer behavior. From understanding their needs to catering to their requirements effectively, big data acts as a bridge connecting businesses to their targeted customers.

It is a great way to increase profits and improve credibility. It helps create predictive models by gathering information from various portals. By using big data, one can get a clearer picture of the target audience.  

Big Data Uses #2

Optimizing business processes:

Another effective way of using big data is to apply all the information derived from the betterment of a process. Optimizing a process based on the conclusions and results gathered from analysis help businesses function better. It can help cut down costs and reduce wastage.

Retailers can assess the stock based on demand. On evaluating the trends and graphs using big data, smarter decisions can be made.

Big Data Uses #3

Personal evaluation:

Not just business, but even personal lives can be improved using big data. For instance, an individual aiming to lose weight can keep track of calories, and workout sessions and analyze the data to find out what works best for him/her. This can be applied to academics too.

Using big data will help us find the quickest and most efficient way to reach our goals. It contributes to our productivity on a large level.

Big Data Uses #4

Financial Trading:

Financial trading is another area where big data seems to be playing a vital role. It is widely used in High-frequency trading. A large number of decisions are made by relying on big data.

By taking into account, social media trends and other surveys, making well-informed financial decisions is possible. Locating trading opportunities and targeted customers becomes easy with the big data on your side.

Big Data Uses #5

Machine performance optimization:

The performance of machines can be optimized using big data tools. They improve functioning and help the machines work smarter and faster.

For instance, the application of big data tools in self-driving cars makes them safer and more efficient for use. It helps companies track performance and plan their production accordingly.  

Big Data Uses #6

Improvising healthcare:

Another field that has benefitted from big data is healthcare and research. With the vast amount of data on various case studies and diseases made available, studying patterns and finding cures to deadly diseases has become feasible.

It stores DNA information of millions of viruses and allows researchers to study them efficiently. This increases the chances of finding better medication and improving or speeding up the treatment.

In the case of pregnancy, big data techniques have enabled doctors to monitor the health and progress of the baby in order to avoid complications. 

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Big Data Uses #7

Security concerns:

One of the major and most important areas that have seen improvement is the security and privacy department. By using the abundant data available, companies can build stronger and more robust security systems.

The security-related concerns can be dealt with by tracing signs of patterns in the data available. It is undoubtedly the easiest way to tackle privacy-related issues and avoid the same from reoccurring.

Big data techniques can be used to detect unusual activities and avoid any fraudulent attacks. For example, banks that offer credit card facilities use big data to detect unusual and fraudulent transactions.

On hearing the term Big Data, only huge chunks of complicated data come to our minds. But, in reality, big data is so much more than that as it has grown to be one of the major contributors to the advancement of technology.

From feeding in information to bots that work on artificial intelligence to helping small businesses track their progress, big data has got everyone covered. However, it is up to us users to make the most of it.

Using big data the right way will enable your business to flourish and also help you to flourish as an individual as it can contribute to one’s personal development as well.

Get Big Data Hadoop Analyst Certification Training

 

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To explore certification programs in your field, chat with our experts, and find the certification that fits your career requirements.

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Nandini

Nandini

Content Writer at Sprintzeal

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