Data Analytics: An Overview

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Author(s): Anu Sayal (Jain University (Deemed), India)
Copyright: 2023
Pages: 27
Source title: New Approaches to Data Analytics and Internet of Things Through Digital Twin
Source Author(s)/Editor(s): P. Karthikeyan (National Chung Cheng University, Chiayi, Taiwan), Polinpapilinho F. Katina (University of South Carolina Upstate, USA)and S.P. Anandaraj (Presidency University, India)
DOI: 10.4018/978-1-6684-5722-1.ch001

Keywords: Data Analysis & Statistics / Data Analysis and Statistics / Information Science Reference / Library & Information Science

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Abstract

This chapter provides a comprehensive and unified view of data analytics. Data analytics is the process of analyzing the raw data in order to draw inferences about the information in hand. Data analysis techniques are primarily used to get an insight which further facilitates enhancement of the sector under consideration. These techniques are beneficial for optimizing a process under consideration and also for increasing the overall efficiency of a system. These techniques also act as performance boosters as their implementation in the business models help in reduction of costs by considerable amount. It is the most important for any organization as it facilitates better decision-making approaches and also provides an analysis of customer trends as well as satisfaction which further leads to improved products as well as services. It also helps in effective marketing of the products and services. Data analytics has widespread application in various sectors. Various tools are used for carrying out data analytics jobs. All this is discussed in the chapter.

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