Business Analytics
From Data to Decision
Paul Davis author Alym Amlani author
Format:Paperback
Publisher:Taylor & Francis Ltd
Publishing:9th Feb '27
£51.99
This title is due to be published on 9th February, and will be despatched as soon as possible.
This paperback is available in another edition too:
- Hardback£171.99(9781041295167)
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.
• Downloadable 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.
Business Analytics: From Data to Decision is a timely and practical resource for professionals who need to work confidently with data in an AI-enabled world. Amlani and Davis clearly show that strong analytics requires more than technical skill. It demands good questions, sound reasoning, ethical judgment, and clear communication.
Mynda Treacy, Microsoft MVP, Founder and lead trainer, My Online Training Hub
This book is an important resource for anyone working with data. It provides an accessible understanding of data, analytics, and visualization that will empower the reader to be more effective in a world enriched with new sources of information. The presentation is comprehensive, and ensures exposure to data fundamentals, effective approaches to analysis, and good guidance on how to best communicate and understand outcomes. This work is a practical guide to better data analytics and decision making.
Dr. Darren Dahl, Dean, UBC Sauder School of Business
As a finance executive, I've sat across from a lot of analysts. We've always been told to trust the data, this book tells us something more important, to trust the analyst. Data doesn't make decisions, people do. Business Analytics: From Data to Decision stands out because it covers the full reality of analytics in practice; from data sourcing, cognitive bias, and ethical responsibility, to forecasting, financial modeling, visualization, and narrative communication. It doesn't just teach students how to run an analysis; it teaches them how to think critically, communicate under uncertainty, and defend their conclusions to decision-makers. What makes it especially timely is how thoughtfully it addresses AI, not as a shortcut, but as a tool that makes these human skills more essential than ever. In a world where anyone can generate an analysis in seconds, the professional edge belongs to the person who can interrogate, interpret, and communicate it with confidence. This book builds that person. And that's the analyst I want sitting across from me in a budget meeting.
Judy Hoang CPA, CA, MBA, VP Finance
ISBN: 9781041295099
Dimensions: unknown
Weight: unknown
500 pages