An Introduction to Data Analytics: Its Types and Its Applications

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Author(s): A. Sheik Abdullah (Thiagarajar College of Engineering, India), S. Selvakumar (G. K. M. College of Engineering and Technology, India)and A. M. Abirami (Thiagarajar College of Engineering, India)
Copyright: 2017
Pages: 14
Source title: Handbook of Research on Advanced Data Mining Techniques and Applications for Business Intelligence
Source Author(s)/Editor(s): Shrawan Kumar Trivedi (BML Munjal University, India), Shubhamoy Dey (Indian Institute of Management, Indore, India), Anil Kumar (BML Munjal University, India)and Tapan Kumar Panda (Jindal Global Business School, India)
DOI: 10.4018/978-1-5225-2031-3.ch001

Keywords: Business & Management / Business Information Systems / Business Intelligence / Business Science Reference

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Abstract

Data analytics mainly deals with the science of examining and investigating raw data to derive useful patterns and inference. Data analytics has been deployed in many of the industries to make decisions at proper levels. It focuses upon the assumption and evaluation of the method with the intention of deriving a conclusion at various levels. Various types of data analytical techniques such as predictive analytics, prescriptive analytics, descriptive analytics, text analytics, and social media analytics are used by industrial organizations, educational institutions and by government associations. This context mainly focuses towards the illustration of contextual examples for various types of analytical techniques and its applications.

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