Clever Fox Publishing is proud to announce the release of Demystifying Business Data Visualization: Practical Insights into What and How of Approaching Visualization Projects, an essential guide co-authored by distinguished data visualization experts Dr. M. Ramasubramaniam and Mr. Daniel Peter. This book is designed for professionals, students, and business analysts who seek to master the art and science of transforming raw data into visually compelling insights. Through theoretical insights and practical tools, this book empowers readers to approach business data visualization with confidence and creativity.
In a rapidly changing business landscape where data drives critical decision-making, the ability to present complex information in a clear, engaging, and actionable manner is essential. Demystifying Business Data Visualization addresses this growing need by offering a well-rounded guide that covers both the technical and psychological aspects of data visualization.
The book offers a deep dive into the principles of business data visualization, helping readers understand not only how to create effective data visuals but also why certain approaches work better than others. It bridges the gap between theory and practice, providing practical insights into the critical aspects of visual perception and the cognitive psychology behind interpreting data.
Readers will learn how to effectively communicate complex data by selecting the most appropriate visualization techniques. Whether you’re trying to convey trends, relationships, or patterns in data, this book guides you in choosing the right visual formats—whether it’s bar charts, scatter plots, or heatmaps. This ensures that your audience can quickly grasp the key takeaways, without being overwhelmed by data complexity.
The book’s approach is uniquely practical, offering well-structured exercises and case studies that reflect real-world scenarios. These hands-on examples provide readers with opportunities to apply the principles of business data visualization in a practical setting. By practicing with real data, readers can build the confidence needed to implement their own data visualization projects successfully.
What sets this book apart is its focus on self-service data visualization, which is becoming an increasingly valuable skill in today’s data-driven world. By empowering readers to independently create dynamic data dashboards, the book reduces their reliance on technical support teams. This democratization of data visualization makes it accessible to professionals at all levels of expertise, ensuring that even non-technical users can master the art of turning raw data into powerful visual stories.
Meet the Authors
Demystifying Business Data Visualization benefits from the expertise of two seasoned professionals—Dr. M. Ramasubramaniam and Mr. Daniel Peter—both of whom bring decades of experience in data science, machine learning, and business analytics.
Dr. M. Ramasubramaniam is a renowned professor and Area Chair in Business Analytics at the Loyola Institute of Business Administration. With a rich academic background that includes a PhD from the Indian Institute of Science and over two decades of teaching experience, Dr. Ramasubramaniam has been at the forefront of emerging technologies in analytics, machine learning, and data visualization. He has co-authored several scholarly works, including Ethical Supply Chain Management in India: An Empirical Study, and has self-published an e-book, Transformative Teacher: Harness the Power of ChatGPT for a Creative and Inspiring Classroom.
Dr. Ramasubramaniam has also served as an adjunct faculty member at the Malaysia Institute of Supply Chain Innovation, which was part of MIT Boston’s Global Scale Network. His contributions to supply chain analytics, machine learning, and AI in logistics are well-recognized in academic circles. His research spans a broad range of topics, including inventory modeling, supply chain resilience, and healthcare operations, with several publications in top-tier journals.
Mr. Daniel Peter is the Vice President and Chief Data Scientist at Gamma Analytics, a firm known for its pioneering work in Data Science and AI. With over two decades of industry experience, Daniel has contributed to various high-profile projects across telecom, finance, and analytics sectors. His expertise in telecom analytics, fraud management, and machine learning has made him a sought-after consultant for Fortune 500 companies and global enterprises.
A graduate of Kedge Business School in France and an Executive Program holder from IIM Calcutta, Daniel also serves as an adjunct professor at Loyola Institute of Business Administration, where he mentors students in Machine Learning and Data Analytics. His leadership in data science extends beyond academia, with significant contributions to global telecom analytics and financial risk management.
Together, these accomplished professionals have created a resource that will resonate with anyone involved in the world of business analytics. Their combined experience across industry and academia ensures that the book provides both cutting-edge theories and practical, actionable advice.
Why You Should Read This Book
Whether you are a seasoned data professional, a student looking to break into the field, or a business analyst aiming to improve your data-driven storytelling, Demystifying Business Data Visualization will provide you with the tools and techniques necessary to succeed. The book’s structured approach to business scoping, data preparation, and complex data visualization ensures that readers will come away with a robust understanding of how to tackle their own visualization projects with confidence and clarity.
Furthermore, the book’s focus on self-service data visualization empowers readers to take control of their own data analysis processes, reducing the need for constant technical support. By mastering the techniques outlined in this book, you can enhance your ability to communicate critical insights and make more informed decisions that drive business success.