Presenting and Modeling Business Data
Where are we coming from? Where are we now? Where are we going?
These timeless questions—once used as greetings in Java—capture the essence of data analysis. In business, accounting, and finance, answering them requires critical thinking, reliable methods, and above all, the ability to tell a story with numbers.
Presenting and Modeling Business Data is a practical, engaging guide to turning raw information into insight. Written by experienced educators Alym Amlani and Paul Davis, this book blends rigorous methodology with vivid storytelling. It explores how to:
Evaluate the quality of data and avoid common biases and logical errors.
Apply descriptive, diagnostic, and predictive analytics to business challenges.
Use Excel and other tools to visualize complex information clearly and persuasively.
Identify the pitfalls of faulty sampling, cherry-picking, and misleading graphs.
Harness data storytelling as a bridge between evidence, decision-making, and action.
Grounded in real-world examples—from politics and medicine to finance and artificial intelligence—the book demonstrates how numbers can mislead or enlighten, depending on how they are handled. Each chapter equips readers with both the technical skills and the critical perspective needed to transform data into decisions.
Whether you are a student of accounting, a business professional, or anyone seeking to improve your fluency in the language of data, this book offers a toolkit for clearer thinking, stronger analysis, and better communication.
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - From critical thinking and chart design to financial modeling and data storytelling, this comprehensive guide equips business professionals and students with the essential tools to present, analyze, and model financial information with clarity, insight, and impact. N° de réf. du vendeur 9781738043620
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Taschenbuch. Etat : Neu. Presenting and Modeling Business Data | Alym Amlani (u. a.) | Taschenbuch | Englisch | 2025 | Amlani/Davis Publishing | EAN 9781738043620 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. N° de réf. du vendeur 134053846
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