Data Storytelling and Translation : Bridging the Gap Between Numbers and Narratives / David Mathias.

Format:

Book

Author/Creator:

Mathias, David, Author.

Language:

English

Subjects (All):

Digital storytelling.

Information visualization.

Visual communication.

Visualization--Data processing.

Visualization.

Physical Description:

1 online resource

Place of Publication:

Boston : Mercury Learning and Information, [2024]

Summary:

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.FEATURES:Covers topics such as translating metrics, identifying your audience, designing your data story, and moreCombines the topics of data translating and data storytelling into a single forum that are critical to effective data presentationsIncludes companion files for both educators and team leaders with slides and videos

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.

Contents:

Frontmatter

Contents

Prologue

Acknowledgments

Chapter 1: The Age of the Data Translator

Chapter 2: All Decisions Start With People

Chapter 3: Start With Good Questions and Great Listening

Chapter 4: Being Fluent in the Language of Data

Chapter 5: Identify, Understand, and Frame Problems

Chapter 6: Simplifying Insights Through Metrics and Objectives

Chapter 7: Painting Your Data Story

Chapter 8: Leveraging Visuals to Share Insights and Compel Action

Chapter 9: Leveraging Dashboards in Your Communication

Chapter 10: Communicating Your Data Story

Epilogue

Index.

Notes:

Includes bibliographical references and index.

Online resource; title from PDF title page (De Gruyter Brill, viewed May 28, 2026).

Other Format:

Print bersion: Mathias, David. Data Storytelling and Translation.

ISBN:

9781683926504

1683926501

OCLC:

1425556227

Access Restriction:

Restricted for use by site license