Data Storytelling and Translation: Bridging the Gap Between Numbers and Narratives

Author:   David Mathias
Publisher:   Mercury Learning & Information
ISBN:  

9781683926511


Pages:   350
Publication Date:   21 November 2023
Format:   Paperback
Availability:   Temporarily unavailable   Availability explained


Our Price $93.50 Quantity:  
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Data Storytelling and Translation: Bridging the Gap Between Numbers and Narratives


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Overview

"In the digital age, data is the new currency. However, amassing heaps of data means nothing if it doesn't lead to actionable insights. It's not enough to just present numbers; to truly resonate with an audience, data needs a narrative. ""Data Storytelling and Translation"" bridges the chasm between numbers and narratives. Learn the intricacies of translating raw data into compelling stories that captivate, inform, and inspire action. The book covers proven frameworks for converting data into compelling narratives, strategies to tailor data stories to different audiences, techniques to avoid common pitfalls and biases in data representation, the balance between aesthetics and accuracy in data visualization, and uses real-world case studies illustrating the power of effective data storytelling. Whether you're a data scientist, business analyst, student or a decision-maker, this book offers the tools to articulate the true value of your data."

Full Product Details

Author:   David Mathias
Publisher:   Mercury Learning & Information
Imprint:   Mercury Learning & Information
Weight:   0.100kg
ISBN:  

9781683926511


ISBN 10:   168392651
Pages:   350
Publication Date:   21 November 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Unknown
Availability:   Temporarily unavailable   Availability explained

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David Mathias helps organizations and teams deliver better insights, products, and experiences with a customer-focused and data-informed approach by leveraging both data science and behavioral science. He has many years of industry experience as a product and data analytics expert.

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