Big Data Analytics: Types and Uses

by Swati Saxena SEO executive

As we are progressing in the field of internet technology, the future is going towards a data-oriented world. While using the internet, we produce thousands of Gigabytes of data knowingly or unknowingly. The internet companies are very much keen on using this enormous size of data for their profits. Here comes the need for big data analytics. Big data analytics is a must-have tool for every organization as it helps in predicting future trends and building strategies according to that. In this post, we will discuss the types and uses of big data analytics. 

What is Big Data Analytics?

Big data analytics is one of the latest branches of Computer Science that aims at building tools that can handle a huge amount of data easily. In the last few years, many computer scientists have been publishing many research papers on big data analytics which is helping the developers in building effective software.

Types of Big Data Analytics

●     Predictive Analytics

This branch of big data analytics uses the data for predicting something unknown until yet. For example, there is a grocery store that notes down sales of different items every day. Predictive analytics can help in predicting what amounts of each item should be there in the store so that there is neither shortage nor wastage.

●     Descriptive Analytics

It helps in presenting the data in a meaningful form that can describe what is happening in the organization. Descriptive analytics is a very naive type of big data analytics that may not involve advanced technologies like machine learning, neural networks, etc.

●     Diagnostic Analytics

Diagnostic analytics aims to find the cause of certain trends in the data. For example, if we have the production and sales of data for different years along with other factors like the position of the market, investment, etc., we can find out the cause of loss incurred during a particular year.

●     Prescriptive Analytics

Prescriptive analytics is a type of big analytics that helps in prescribing some strategies which can help in achieving something or avoiding something. For example, prescriptive analytics can help in getting strategies to avoid loss during a global recession.

Software Used for Big Data Analytics

Following is a comprehensive list of some of the latest software which is widely used for big data analytics.

●     Apache Hadoop

●     Apache Spark

●     Style Scope

●     Microsoft Power BI

●     Apache Cassandra

Applications of Big Data Analytics

Internet of Things is probably the biggest domain where big data analytics has major applications. Many researchers are publishing Internet of things research papers that relate the use of big data analytics in them. Following is the list of many other applications of big data analytics.

 

●     Fraud Detection and Prevention

●     Profit Optimization

●     Recommendation Engines

●     Market Research

If your business is also generating a lot of data from customers, you should use big data analytics to get the advantage of this data. There are many websites like Abaquus.com which provide free research papers on big data analytics which will help you in understanding it.

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Created on Oct 2nd 2019 01:33. Viewed 253 times.

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