Call for Chapters: Data Visualization Tools for Business Applications

Editors

Anandhavalli Muniasamy, King Khalid University, Saudi Arabia
Arshi Naim, King Khalid University, Saudi Arabia
Anuj Kumar, Appejay School of Management, India

Call for Chapters

Proposals Submission Deadline: May 19, 2024
Full Chapters Due: August 11, 2024
Submission Date: August 11, 2024

Introduction

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. "Visualizing Success: Data Visualization Tools for Business Applications" is a comprehensive guide designed to equip professionals with the knowledge and skills necessary to leverage data visualization tools effectively. Whether you're a seasoned data scientist or a novice analyst, this book provides practical strategies, best practices, and real-world examples to help you master the art of visual storytelling. Through a blend of theory and hands-on tutorials, this book explores a wide range of data visualization tools, techniques, and methodologies. From industry-standard tools like Tableau, Power BI, and QlikView to open-source alternatives like D3.js and Plotly, each chapter offers step-by-step instructions and insightful tips to create impactful visualizations that drive business success. Moreover, "Visualizing Success" goes beyond mere technical proficiency, emphasizing the importance of understanding audience needs, designing visually appealing dashboards, and telling compelling data-driven narratives. Whether you're tasked with presenting sales forecasts to stakeholders, optimizing marketing campaigns, or exploring customer behavior trends, this book equips you with the tools and knowledge to transform raw data into actionable insights. In an era where data is abundant yet insights are scarce, "Visualizing Success" serves as your trusted companion on the journey towards data-driven decision-making. Whether you're looking to enhance your analytical skills, advance your career, or drive innovation within your organization, this book provides the guidance and inspiration needed to unlock the full potential of data visualization in the realm of business applications.

Objective

The aim of the book "Data Visualization Tools for Business Applications" is to provide a comprehensive and practical guide for professionals, managers, and decision-makers on leveraging data science in the fields of business and marketing. Data Visualization Tools for Business Applications" has a broad scope that encompasses various aspects of data science implementation within the realms of business and marketing. Some of the key objectives are as follow:  Equip professionals with the skills to effectively utilize data visualization tools.  Provide practical guidance on tool selection, implementation, and optimization.  Enhance analytical skills for extracting insights from complex datasets.  Promote effective communication of data findings through visualization.  Drive tangible business impact by facilitating informed decision-making.  Keep readers updated on evolving trends and technologies in the field.

Target Audience

The audience for the book "Analytics for Success: Navigating Data Science in Business and Marketing" includes a diverse range of professionals, academicians, researchers, industrialists and individuals who are interested in leveraging data science for business and marketing success. The book is designed to cater to both technical and non-technical audiences, providing insights at various levels of expertise. It aims to bridge the gap between data science and business/marketing, making it accessible and valuable to a wide range of professionals and learners. The key target audiences are as follow: Business Executives and Leaders: CEOs, CTOs, CMOs, and other business leaders who want to understand how data science can be strategically applied to achieve business goals, enhance decision-making, and drive overall success. Marketing Professionals: Marketing managers, digital marketers, brand strategists, and marketing analysts who are keen on incorporating data science into their marketing strategies, customer segmentation, and campaign optimization. Data Scientists and Analysts: Professionals working in the field of data science, analytics, and business intelligence who want to align their work with business objectives, improve collaboration with non-technical stakeholders, and enhance the practical impact of their analyses. Entrepreneurs and Startups: Individuals involved in entrepreneurship and startups seeking insights on using data science to gain a competitive edge, make informed decisions, and optimize their marketing efforts. Academic and Educational Audience: Students, educators, and researchers in the fields of data science, business analytics, marketing analytics, and management studies who can use the book as a learning resource or supplementary material. Technology Enthusiasts: Readers with a general interest in the intersection of technology and business/marketing who want to understand how data science can be harnessed for innovation and growth. Decision-Makers and Stakeholders: Individuals responsible for organizational decision-making and strategy who want to gain a comprehensive understanding of how data science initiatives align with business and marketing objectives. Professionals in Cross-Functional Roles: Those working in roles that require collaboration across different functions, such as finance, operations, and sales, and want to understand how data science can impact and enhance their areas.

Recommended Topics

1. Introduction to Data Visualization in Business 2. Fundamentals of Data Visualization and its applications in Business 3. Introduction to Data Visualization Tools and their relevance in Business 4. Importing and Preparing Data for Visualization for Business applications 5. Basic Visualization Techniques leveraging Business concepts and models 6. Utilization of Advanced Visualization Techniques in Business processes 7. Data Storytelling and Narrative Design in crafting Business Strategies 8. Integrating Data Visualization into Business Processes 9. Use Cases: Sales Forecasting, Marketing Analytics, Financial Reporting, etc. 10. Driving Business Decisions with Data Insights 11. Optimization and Performance Tuning with Data tools in Businesses 12. Best Practices and Pitfalls to avoid errors in Data Visualization in Businesses 13. Strategies for Effective Visualization Design in Business models 14. Emerging Trends in Data Visualization in Business Scenario 15. Exploring AI and Machine Learning in Visualization for Optimizing Business practices 16. Future Directions and Innovations in the Field of Business operations through Data tools

Submission Procedure

Researchers and practitioners are invited to submit on or before May 19, 2024, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by June 2, 2024 about the status of their proposals and sent chapter guidelines.Full chapters are expected to be submitted by August 11, 2024, and all interested authors must consult the guidelines for manuscript submissions at https://www.igi-global.com/publish/contributor-resources/before-you-write/ prior to submission. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project.

Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, Data Visualization Tools for Business Applications. All manuscripts are accepted based on a double-blind peer review editorial process.

All proposals should be submitted through the eEditorial Discovery® online submission manager.



Publisher

This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), an international academic publisher of the "Information Science Reference" (formerly Idea Group Reference), "Medical Information Science Reference," "Business Science Reference," and "Engineering Science Reference" imprints. IGI Global specializes in publishing reference books, scholarly journals, and electronic databases featuring academic research on a variety of innovative topic areas including, but not limited to, education, social science, medicine and healthcare, business and management, information science and technology, engineering, public administration, library and information science, media and communication studies, and environmental science. For additional information regarding the publisher, please visit https://www.igi-global.com. This publication is anticipated to be released in 2025.



Important Dates

May 19, 2024: Proposal Submission Deadline
June 2, 2024: Notification of Acceptance
August 11, 2024: Full Chapter Submission
September 22, 2024: Review Results Returned
October 20, 2024: Final Acceptance Notification
October 27, 2024: Final Chapter Submission



Inquiries

Anandhavalli Muniasamy King Khalid University anandhavalli.dr@gmail.com Arshi Naim King Khalid University naimarshi123@gmail.com Anuj Kumar Appejay School of Management profanuj15@gmail.com

Classifications


Business and Management; Computer Science and Information Technology; Education; Environmental, Agricultural, and Physical Sciences; Science and Engineering
Back to Call for Papers List