About the Book
The business landscape is evolving rapidly, and with that comes a massive amount of data that organizations must manage. However, many professionals and researchers need help to leverage this data effectively, as there is a lack of comprehensive guidance on integrating data analytics into management practices. Pioneering Approaches in Data Management bridges this gap by providing a framework that combines theoretical concepts with practical applications, empowering readers to use data analytics to its fullest potential. This book is an essential resource for researchers, educators, and practitioners who want to understand the transformative power of data analytics. It delves into cutting-edge methodologies, tools, and case studies to provide fresh insights into how data analytics can drive decision-making and innovation across various sectors. By emphasizing real-world applications and case studies, this publication offers a deeper understanding of how data analytics can be integrated into management strategies, shaping the future of research and practice in this rapidly evolving field. Designed for academic scholars, students, and business professionals, Pioneering Approaches in Data Management offers practical insights and comprehensive guidance on the latest developments in data analytics. It explores topics such as big data's impact on strategic decision-making, machine learning in management, and data-driven marketing strategies, equipping readers with the tools and knowledge needed to navigate the complexities of data analytics and drive organizational success in the age of big data and analytics.
About the Author :
Kanak Kalita is a prominent researcher in Computational Engineering, acknowledged among the Top 2% of scientists by Elsevier-Scopus and Stanford University’s citation analysis. He earned his M.E and PhD in Applied Mechanics from the Indian Institute of Engineering, Science & Technology, Shibpur, India in 2014 and 2019 respectively. He currently holds the position of Associate Professor in the Department of Mechanical Engineering at Vel Tech University, Chennai. He is also a visiting professor at the VSB-Technical University of Ostrava, Czech Republic and Jadara University, Jordan. With over 10 years of experience, Dr. Kalita has authored 160+ SCOPUS articles including 90+ SCI articles. He has written 1 book, edited 10 books, and accumulated around 2700 citations with an h-index of 30. He has delivered 20+ expert lectures/keynote addresses/invited lectures and serves as the Editor of esteemed journals, like “Scientific Reports”, SCI journal by Springer-Nature; “Discover Applied Science”, WOS-SCOPUS journal by Springer-Nature and “Frontiers in Mechanical Engineering” WOS-SCOPUS journal. Diego Oliva (Senior Member, IEEE) received a B.S. degree in Electronics and Computer Engineering from the Industrial Technical Education Center (CETI) of Guadalajara, Mexico, in 2007 and an M.Sc. degree in Electronic Engineering and Computer Sciences from the University of Guadalajara, Mexico, in 2010. He obtained a Ph. D. in Informatics in 2015 from the Universidad Complutense de Madrid. Currently, he is an Associate Professor at the University of Guadalajara in Mexico. He has the National Researcher Rank 2 distinction by the Mexican Council of Science and Technology. Currently, he is a Senior member of the IEEE. His research interests include evolutionary and swarm algorithms, hybridization of evolutionary and swarm algorithms, and computational intelligence. He is the Associate Editor of the following journals, IEEE Access, Q1, IF = 4.098; IEEE Latin America Transaction, Q2, IF=0.804; Mathematical Problems in Engineering, Q2, IF = 1.009 and Plos One, Q1, IF = 2.740. Xiao-Zhi Gao is an esteemed academic with an extensive background in technology and computing. He commenced his academic journey at Harbin Institute of Technology, China, where he earned both his B.Sc. and M.Sc. degrees. Dr. Gao further advanced his education at the Helsinki University of Technology, now known as Aalto University, Finland, where he obtained his Ph.D. degree in 1999. With over 22 years of experience in teaching and research, Dr. Gao has established himself as a leading figure in the field. Since 2018, he has been a Professor od Data Science at the University of Eastern Finland, Kuopio, Finland, where he continues to contribute significantly to the academic community. Dr. Gao's editorial roles are remarkable. He serves as chief editor, associate editor, and a member of the editorial board for several prominent soft-computing journals, including Swarm and Evolutionary Computation, Information Sciences, and Applied Soft Computing. His scholarly output is impressive, with over 500 technical papers published in refereed journals and international conferences, and more than 400 SCI/SCOPUS research articles to his name. In addition to his extensive list of articles, Dr. Gao has authored 2 books and edited 4 books for renowned publishers such as Springer and IGI Global. His research is particularly focused on nature-inspired computing methods, with applications spanning optimization, prediction, data mining, signal processing, control, and industrial electronics. This breadth of interest underscores his deep understanding and innovative approach to complex technological challenges. Dr. Gao's academic achievements are further highlighted by his impressive Google Scholar H-index of 44, reflecting the widespread influence and high citation rate of his work. His dedication to advancing the frontiers of knowledge in computing and technology makes him a vital asset to the global academic and scientific community. His ORCID is 0000-0002-0078-5675. Rishi Dwivedi is currently working as an Assistant Professor in the Department of Finance, XISS, Ranchi. He has obtained his PhD degree from Jadavpur University, Kolkata after completing MBA degree with specialization in Finance from IBS Business School, Kolkata. Dr Rishi has obtained his Bachelor’s degree in Mechanical Engineering from Sikkim Manipal Institute of Technology, Rangpo, Sikkim. Before joining XISS, Ranchi, Dr Rishi has worked as an Assistant Professor in Management Department at Central University of Jharkhand. He has also almost one year of corporate experience as an Assistant Manager at ICICI Bank Limited, Kolkata, West Bengal. In that role, he was accountable for the complete credit granting process, including consistent application of a credit policy, periodic credit reviews of existing customers and assessment of the creditworthiness of potential customers, with the goal of maximizing customer profitability and minimizing bad debt losses. During his corporate career, he evaluated the credit proposals of various SME and MSME clients, through incisive financial statement analysis, industry performance, economic analysis and management quality. Dr Rishi is regular reviewer of many international journals of high repute like, International Journal of Production Research, Journal of Cleaner Production, OPSEARCH etc. His research interests include development of integrated activity based costing and quality function deployment models for various industries in order to attain competitive edge. Of late he is also interested in exploring the ways in which MCDM model can be applied to achieve sustainable advantage for assorted industries. Dr. Rishi has been awarded with esteemed UGC- BSR Research Fellowship in Science for Meritorious Students. He has published several research papers in well renowned international journals as well as presented papers in international conferences. He has carried out collaborative research with professionals from Indian Institute of Technology and National Institute of Technology.
