Predictive Analytics: A Study, Inclinations, Applications & Challenges

Big data is currently a buzzword in both academia and industry, with the term being used to describe a broad domain of concepts, ranging from extracting data from outside sources, storing and managing it, to processing such data with analytical techniques and tools. Nowadays the increase of data variety considered a very dispute problem for analysis. So innovative methods are mandatory for analytics especially in big data where the data in characteristic very complex and unstructured. The analytics is the process of analysis to predict concealed patterns and associations among data. The main objective of this survey paper is to provide an exhaustive view of different predictive analytics applications and approaches. Analytics methods focused on dissimilar perspectives based on applications and data variety. Some of the application discussed is big data in hotel governance, higher education, health care, data e-governance, consumer orientations. This paper presents different predictive approach processes and their applications.