A Relative Study on Analytical Models

Abstract

The growth of Ecommerce and Online Social Network (OSN) sites has seen remarkable growth and people of all ages from diverse cultural background are using it for sharing knowledge. Even companies used many digital marketing techniques such as SEO, SEM, SMO and SMM to target the sales marketing funnel. Today customers have the choice because of the advocacy feature of sales funnel to put reviews on product. So Analytics modeling is essential for social big data comprehension, prediction generation and business decision making. Without models, it's almost impossible to gain insights from the data. Analytics modeling having primary objective is to use data mining and machine learning techniques to break down various kinds of information created inside these mind boggling networks, endeavoring to deliver usable information to assist companies how improve business performance. Business Analytics is a procedure by which significant data trends are identified, analyzed, communicated and resources are used to allow the whole organization to ask some question about any data in any environment on any system. This paper addresses current prescriptive and predictive analytics framework and key approaches for its execution, examines analytical techniques, synthesizes research articles to recognize current investigation issues, and describes future study directions.