Overview

In today's data-driven business landscape, the ability to extract insights and communicate complex information effectively is paramount. Data visualization has emerged as a powerful tool for businesses to make informed decisions, uncover patterns, and present findings in a compelling manner. From executives seeking strategic insights to analysts delving into operational data, the demand for intuitive and informative visualizations spans across all levels of an organization. Data Visualization Tools for Business Applications comprehensively equips professionals with the knowledge and skills necessary to leverage data visualization tools effectively. Through a blend of theory and hands-on case studies, this book explores a wide range of data visualization tools, techniques, and methodologies. Covering topics such as business analytics, cyber security, and financial reporting, this book is an essential resource for business executives and leaders, marketing professionals, data scientists, entrepreneurs, academicians, educators, students, decision-makers and stakeholders, and more.

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M. Anandhavalli Muniasamy is an associate professor at King Khalid University (KKU). She completed a PhD from the Sikkim Manipal University, Computer Science Department, India. Her areas of interest are data mining, data analytics, artificial intelligence, soft computing, and data science. She has published more than 40 research publications in highly reputed international journals and book chapters. She had attended and presented at more than 30 national and international conferences. She is the principal investigator and co-principal investigator in the university-funded research projects, as well as the principal investigator for the funded project from the All India Council for Technical Education (AICTE), India. She has been a manuscript reviewer for renowned international journals for the past 10 years, as well as a PhD thesis reviewer for several universities. Several journals and conferences have invited her to give guest lectures and serve as an editorial board member. She is a member of the International Association of Engineers, the Computer Society of India (CSI), and the International Association of Computer Science and Information Technology. Presently, she is interested in applying artificial intelligence techniques, particularly machine learning and deep learning, to the analysis of various data sets and its analysis. Arshi Naim has completed Doctor of Philosophy in 2013 from the distinguished university in Business Management. She has been working as Associate Professor Rank in Business Management and Quality and Program Head in King Khalid University, Abha, KSA. She has developed course specifications, curriculum and full/hybrid modules of Business Management for Quality Matters, US. She is a passionate and accomplished researcher with an expertise in Business Management. She is committed to advancing knowledge and fostering academic excellence. She has proven track record of conducting groundbreaking research, publishing in prestigious journals, and mentoring doctoral students. She has more than 54 Scopus and Web of Science indexed publications and published more than 10 scopus indexed books with prestigious publishers like Taylors and Francis, Nova Science, IGI global and many more. Anuj Kumar is currently working as Head of Research, at Rushford Business School, Lucerne, Switzerland. He is research fellow His significant thrust areas are marketing, international business, and general management. He holds a double master’s degree in management with a specialization in International Business. He has completed M.Sc. in International Business from University College Dublin, Michael Smurfit Graduate Business School, Ireland (Ranked among top 200 colleges of the world – QS World ranking). He has completed B. Tech from Guru Gobind Singh Indraprastha University, Delhi, India. He is pursuing an Executive-Ph. D in Management (Thesis submitted) from Aligarh Muslim University (Central University). He has published research papers in reputed SCOPUS/Web of Science/SCI/ABDC/UGC Care Journals. Prof. Kumar has more than seventy publications in total (Scopus- 35, ABDC- 25, Web of Science- 20, SCI-3). He also has three e books and five book chapters to his credit (two are Scopus indexed). He has published several cases in Emerald Emerging Case Studies (Scopus), International Social Science Journal (ABDC B and Scopus), Small Enterprise Research (Scopus and Web of Science), Case Centre-UK, and other reputed Scopus, ABDC and Web of Science journals. He has three internationally granted patents by South Africa and two more patents filed for a grant in India. Prof. Kumar has 781 citations on Google Scholar with an h-index (15) and i10-index (21). He has 662 citations on the research gate with an h-index of 14 (Research interest-570). In the Scopus database Prof. Kumar has 79 citations with an h-index of 9.

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