Big Data Analytics is the process of analyzing extremely large amounts of data, Big Data, for hidden patterns, unrecognized correlations, market trends, preferred customer behavior, and other business-relevant information. Analytical results can be used to derive effective marketing, expanded sales, improved customer service, or increased operational efficiency.
With Big Data Analytics, companies can extract information from Big Data and better interpret it. The goal of Big Data Analytics is to make better business decisions or develop future business models that cannot be achieved through conventional business intelligence. The methods and data for Big Data analytics can include those from web servers and clickstreams, data obtained from data mining and stored in data lakes. Big Data is about content from social media and from reports on network activity, as well as content from customer emails or response to expert opinions.
Big Data analytics are supported by Event Stream Processing( ESP), which enables real-time analysis of large data sets.