Big Data and Predictive Analytics in Various Sectors

In today's information age, huge volumes of data is available to be managed and supervised for the decision making task. Data in every organization are increasing with high speed along with the volume of it increases at a large extend through various discipline such as healthcare, meteorology, government, education, social network and much more. Big data mentions to extremely large datasets that is not only vast, but it is also rich in velocity, veracity and variety, that results to unmanageable handling using normal accepted techniques and tools. Because of the speedy growth of such data, resolutions are required to be prepared, calculated and presented so that the knowledge and information could be extracted. Moreover the resolution makers are required to be aware from this variety of data and speedy data that continuously changes, this consists of data from social network, day to day transactions to interaction of customers, crime detection, stock prediction and healthcare data. Similar type of information can be prepared using Big data analytics, which is the application of advanced analytics techniques on big data. The objective of this paper is to obtain the reviews from some of the different predictive analytics application that are relevant to big data, and the favourable conditions that are assigned by the employment of big data analytics in different decision spheres.