Big Data Analytics
Big data analytics is a step by step process of analyzing large amount of different datatypes and big data for uncovering hidden correlations ,unknown patterns and other useful information.
The process can be imagined in the below picture.
 |
| Big Data Analytics |
Information gain from these analytics can extract competitive advantages over rival organization and can result in business benefits such as increased revenue and and effective marketing.
To make the companies enable to make better business decisions by enabling Data Scientist and other data experts to analyze huge volume of data as well as utapped data source by business Intelligence(BI).thsese source include web servers logs ,internet click-stream data ,social media activity reports,mobile phone records and sensors captured data. Some people exclusively relates Big Data and big data analytics to unstructured Data but large scale firms like Gartner Inc. and Forrester Research Inc. also considers transactions and other structured collection of data to be valid forms of big data.
Big Data analytics are done by using tools and softwares normaly used as a part of advance analytics discipline such as Data Mining and Predictive analytics.Traditional data warehouses do not fits for unstructured Big Data.These warehouse do not completes the demand of process handling of big data too.
