Presenting and Modeling Business Data. Este artículo no está disponible.
Idioma: inglés
Editorial: Lulu Press, 2025
- Tapa blanda
- Nuevo

Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US
Vendedor de IberLibro desde 7 de abril de 2005
Condición: Nuevo
EUR 72,53
Descripción del artículo del vendedor
New Book. Shipped from UK. Established seller since 2000.
N° de ref. del artículo L2-9781738043620
- Título
- Presenting and Modeling Business Data
- Autor
- Alym Amlani
- Editorial
- Lulu Press
- Año de publicación
- 2025
- Estado
- New
- Encuadernación
- PAP
- Idioma
- inglés
- ISBN 10
- 1738043622
- ISBN 13
- 9781738043620
- Peso del artículo
- 767 gramos
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:
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Evaluate the quality of data and avoid common biases and logical errors.
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Apply descriptive, diagnostic, and predictive analytics to business challenges.
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Use Excel and other tools to visualize complex information clearly and persuasively.
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Identify the pitfalls of faulty sampling, cherry-picking, and misleading graphs.
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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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