Business Analytics: From Data to Decision

Presenting and Modeling Business Data is a comprehensive, practical guide on how to develop raw data into valuable structures for business decision-making. The authors are experienced, highly respected educators and practitioners of accounting, law, and analytics. They are acknowledged experts on the role of generative AI in education and assessment. This book emphasizes critical thinking, data quality, the art of storytelling, and compelling presentation skills as essential workplace attributes. Beyond theoretical discourse, dedicated chapters train the reader in using vital software including Solver, Power BI, and regression techniques.Key features include:* A step-by-step framework for evaluating, visualizing, and analyzing business data.* Extensive illustration of common data biases, and errors, and techniques for avoiding them.* Practical, hands-on guidance on designing effective charts, dashboards, and presentations which really resonate with audiences.* Instruction on using Excel, Solver, and Power BI for analytics and forecasting.* A comprehensive start-to finish demonstration of modeling for a complex business.* Real-world examples drawn from multiple disciplines.* Multiple choice questions to reinforce key concepts.* Dwnldable datasets, templates, and solutions for hands-on practice.Although primarily written for undergraduate and graduate business students, this book is also of value to professionals seeking to strengthen their data and communication skills. It forms the bridge from technical competence to clear communication, enabling users to present insights from data in a clear and convincing manner.

About the Author

Alym Amlani CPA, CA, is an accomplished educator and author. He specializes in business analytics, accounting, information systems, and emerging technologies. He currently teaches at the University of British Columbia (Sauder) and Kwantlen Polytechnic University (Melville) Schools of Business. His research focuses on the practical application of data, financial analysis, technology, and decision-making at the intersection with Artificial Intelligence.

Paul Davis MBA, LLD, is an educator, author, and researcher with four decades of experience in law, finance, business, and accounting. He began his professional career as an Assistant Professor of Law at the University of Ottawa, then founded several successful businesses before returning to academia in 2020. His research and writing range from criminal sentencing to ethics, judgment, and emerging technologies in education, with particular emphasis on communication and the responsible use of new technologies.