Big Data Applications in Industry 4.0

447 Pages·2022·18.796 MB·English

by  P. Kaliraj, T. Devi

Big Data Applications
in Industry 4.0

Big Data Applications
in Industry 4.0
Edited by
P. Kaliraj
T. Devi
First Edition published 2022
by CRC Press
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contributors
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Library of Congress Cataloguing-in-Publication Data
A catalog record has been requested for this book.
ISBN: 978-1-032-00811-0 (hbk)
ISBN: 978-1-032-19179-9 (pbk)
ISBN: 978-1-003-17588-9 (ebk)
DOI: 10.1201/9781003175889
Typeset in Garamond
by MPS Limited, Dehradun
Prof. P. Kaliraj dedicates this book to
esteemed Bharathiar University,
his father Mr. M. Perumal,
mother Mrs. P. Rathinammal,
grand children Prithika Karthikeyan,
Kayan Karthikeyan,
Ayaan Prashanth and
Akira Prashanth.
Prof. T. Devi dedicates this book to
Department of Computer Applications
her mother Mrs. A. Suseela,
mother-in-law Mrs. D. Singari,
son R. Surya and,
grandson V. Deera

Contents
Preface . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xiii
Acknowledgments . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xix
Editors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xxi
Contributors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xxiii
1 Data Science and Its Applications . . . . . . . . . . . . . . . . . . . . . . . . . 1
PAUL ABRAHAM AND LAKSHMINARAYANAN S
1.1 Introduction to Data Science . . . . . . . . . . . . . . . . . . . . . . . . . 2
1.2 Data Science and Its Application in the Healthcare Industry . . . 10
1.3 Data Science and Its Application in the Retail and Retail
E-Commerce . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16
1.4 Data Science and Its Application in the Banking,
Financial Services and Insurance (BFSI) Sector . . . . . . . . . . . . 21
1.5 Statistical Methods and Analytics Techniques Used
across Businesses . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24
1.6 Statistical Methods and Analytics Techniques Used
in Sales and Marketing . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25
1.7 Statistical Methods and Analytics Techniques Used
in Supply Chain Management . . . . . . . . . . . . . . . . . . . . . . . 31
1.8 Statistical Methods and Analytics Techniques Used
in Human Resource Management . . . . . . . . . . . . . . . . . . . . 34
References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37
2 Industry 4.0: Data and Data Integration . . . . . . . . . . . . . . . . . . . 39
PAVAN GUNDARAPU
2.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40
2.2 Data Integration . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41
2.3 Data Integration Solutions . . . . . . . . . . . . . . . . . . . . . . . . . 41
2.4 Data Integration Methodologies . . . . . . . . . . . . . . . . . . . . . . 46
2.5 Service Providers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51
2.6 Brief on Each Software . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52
2.7 Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53
viii ▪ Contents
References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53
3 Forecasting Principles and Models: An Overview . . . . . . . . . . . . . 55
R. VIJAYARAGHAVAN
3.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56
3.2 Meaning of Forecasting . . . . . . . . . . . . . . . . . . . . . . . . . . . 57
3.3 Applications of Forecasting . . . . . . . . . . . . . . . . . . . . . . . . . 57
3.4 Limitations of Forecasting . . . . . . . . . . . . . . . . . . . . . . . . . . 59
3.5 Types of Forecasting Procedures . . . . . . . . . . . . . . . . . . . . . 60
3.6 Process of Forecasting . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63
3.7 Basic Forecasting Models . . . . . . . . . . . . . . . . . . . . . . . . . . 64
3.8 Software Tools for Forecasting . . . . . . . . . . . . . . . . . . . . . . . 68
3.9 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68
References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70
4 Breaking Technology Barriers in Diabetes
and Industry 4.0 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71
KRISHNAN SWAMINATHAN AND THAVAMANI D. PALANISWAMI
4.1 Brief Introduction to Diabetes . . . . . . . . . . . . . . . . . . . . . . . 72
4.2 “Big Data” Concept . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74
4.3 Recent Technological Advances in Diabetes Management . . . . . 76
4.4 Barriers in Diabetes Technology . . . . . . . . . . . . . . . . . . . . . . 80
4.5 Technical Solutions to Break the Barriers . . . . . . . . . . . . . . . 80
4.6 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81
References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81
5 Role of Big Data Analytics in Industrial Revolution 4.0 . . . . . . . . 85
V. BHUVANESWARI
5.1 Big Data Analytics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87
5.2 Big Data Components . . . . . . . . . . . . . . . . . . . . . . . . . . . . 92
5.3 Big Data & Industry 4.0 . . . . . . . . . . . . . . . . . . . . . . . . . . 97
5.4 Big Data Use Cases . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99
5.5 Big Data Roles . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102
References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105
6 Big Data Infrastructure and Analytics for Education 4.0 . . . . . . . 107
CHANDRA ESWARAN AND RATHINARAJA JEYARAJ
6.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 108
6.2 Industrial Revolutions . . . . . . . . . . . . . . . . . . . . . . . . . . . 108
6.3 Advantages of Industry 4.0 in Education . . . . . . . . . . . . . . . 109
6.4 System for Smart Education . . . . . . . . . . . . . . . . . . . . . . . 111
6.5 Big Data Infrastructure for Smart Education . . . . . . . . . . . . 115
6.6 Big Data Analysis for Smart Education . . . . . . . . . . . . . . . . 118
Contents ▪ ix
6.7 Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 123
References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 123
7 Text Analytics in Big Data Environments . . . . . . . . . . . . . . . . . . 125
R. JANANI AND S. VIJAYARANI
7.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 126
7.2 Text Analytics – Big Data Environment . . . . . . . . . . . . . . . 127
7.3 Applications of Text Analytics . . . . . . . . . . . . . . . . . . . . . . 137
7.4 Issues and Research Challenges in Text Analytics . . . . . . . . . 139
7.5 Tools for Text Analytics . . . . . . . . . . . . . . . . . . . . . . . . . . 140
7.6 Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141
References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141
8 Business Data Analytics: Applications and
Research Trends . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 145
S. SHARMILA AND S. VIJAYARANI
8.1 Big Data Analytics and Business Analytics: An Introduction . . 146
8.2 Digital Revolution of Education 4.0 . . . . . . . . . . . . . . . . . . 148
8.3 Conceptual Framework of Big Data for Industry 4.0 . . . . . . . 149
8.4 Business Analytics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 153
8.5 Applications of Big Data and Business Analytics . . . . . . . . . . 160
8.6 Challenges of Big Data and Business Analytics . . . . . . . . . . . 160
8.7 Open Research Directions . . . . . . . . . . . . . . . . . . . . . . . . . 163
8.8 Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 164
References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 164
9 Role of Big Data Analytics in the Financial Service Sector . . . . . . 169
V. RAMANUJAM AND D. NAPOLEON
9.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 171
9.2 The Effect of Finance 4.0 in a Nutshell . . . . . . . . . . . . . . . 172
9.3 In The Banking Industry, Big Data . . . . . . . . . . . . . . . . . . 175
9.4 Big Data Analytics in Finance Industry . . . . . . . . . . . . . . . . 184
9.5 Sector of Finance Data Science . . . . . . . . . . . . . . . . . . . . . 187
9.6 Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 191
Acknowledgments . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 192
References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 192
10 Role of Big Data Analytics in the Education Domain . . . . . . . . . 195
C. SIVAMATHI AND S. VIJAYARANI
10.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 196
10.2 Need for Big Data Analytics in Education . . . . . . . . . . . . . 202
10.3 Applications of Big Data Analytics in Education . . . . . . . . . 204
10.4 Advantages of Big Data in Education . . . . . . . . . . . . . . . . 206