Thursday 8 March 2018

Process of analyzing Big Data

Big data analytics is referred to as the process of analyzing data sets with the view of making sense out of them. The analysis can be done to find out patterns that a hidden, trends, consumer preferences, and any other use that organizations may need to make decisions.

The growth of big data analytics 
Big data analytics started growing in the 1990s when data volume was increasing. The term big data was later also expanded to include also the variety of data that companies were producing. It also included the rate at which the data was being created.

In the early 2000s big data systems and applications started to take shape. Big data technologies were being developed and had taken the public eye. Currently, big data analytics has been accepted by small, medium and large organizations as part of the business processes.

Benefits of big data analytics 
There are many ways that companies and organizations conduct their big data analytics. They use the software that the company has adopted in order to conduct successful data analytics. Successful data analytics can help an organization identify new and possible revenue avenues that they can utilize. It can also help an organization identify the weaknesses that they have and coming up with the solutions. The solutions could range from marketing to improving on customer service among many others.

Big data analytics can help organizations come up with conclusions from the data and help them make better business decisions. A successful data analysis will help an organization answer basic business questions in regards to the operations and performance of the organization.