Predictive analytics in data science for business intelligence solutions

Abstract

In modern era of computing, organizations are focusing on the better utilization of technology and surviving to gear-up with global business demand. Such competition is acting as a driving force for its business to cope-up the data which generated every second of minute. This data needs to figure out and segregated with information which is required for is business growth model. The Predictive Analytics (PA) uses various algorithms to find out different patterns in large data that might suggest the efficient behavior for business solution. This paper provides a conceptual decision making process for data using predictive analysis to maximize the success ratio for handling large dataset. Today, different technologies like cloud computing, SOA, are together transforming information technology but in turn, are imposing new complexities to the data computation. Due to such advances in technologies, and it requires rapid and dynamic data analysis for structured and unstructured data.

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