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Communicating with Data

Making Your Case with Data

Paperback Engels 2021 9781098101855
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Samenvatting

Data is a fantastic raw resource for powering change in an organization, but all too often the people working in those organizations don't have the necessary skills to communicate with data effectively. With this practical book, subject matter experts will learn ways to develop strong, persuasive points when presenting data to different groups in their organizations.

Author Carl Allchin shows anyone how to find data sources and develop data analytics, and teaches those with more data expertise how to visualize data to convey findings to key business leaders more effectively. Once both your business and data experts possess the skills to work with data and interpret its significance, you can deal with questions and challenges in departments across your organization.

- Learn the fundamental data skills required to work with data
- Use data visualization to influence change in your organization
- Learn how to apply data techniques to effectively work with data end to end
- Understand how to communicate data points clearly and persuasively
- Appreciate why different stakeholders often have divergent needs and views
- Create a playbook for using data with different departments

Specificaties

ISBN13:9781098101855
Taal:Engels
Bindwijze:paperback
Aantal pagina's:300
Uitgever:O'Reilly
Druk:1
Verschijningsdatum:31-12-2021
ISSN:

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Inhoudsopgave

Preface
Why I Wrote This Book
Who Is This Book For?
How the Book Is Organized
Conventions Used in This Book
O’Reilly Online Learning
How to Contact Us
Acknowledgments

I: Communication and Data
1. Communication
What Is Communication?
The Communication Process
Getting Through to Your Audience: Context and Noise
Don’t Forget About Memory
Why Visualize Data?
Pre-Attentive Attributes in Action
Unique Considerations
Summary

2. Data
What Is Data?
Key Features of Data
Rows and Columns
Data Types
How Is Data Created?
Where Is Data Created?
Should You Trust Your Data?
Data as a Resource
Files
Databases, Data Servers, and Lakes
Application Programming Interfaces
Data Security and Ethics
Easy or Hard? The “Right” Data Structure
The Shape of Data
Cleaning Data
The “Right” Data
Requirement Gathering
Use of the Data
Summary

II: The Elements of Data Visualization
3. Visualizing Data
Tables
How to Read Tables
How to Optimize Tables
When You Might Not Use Tables
Bar Charts
How to Read Bar Charts
How to Optimize Bar Charts
When You Might Not Want to Use Bar Charts
Line Charts
How to Read Line Charts
How to Optimize Line Charts
When You Might Not Use Line Charts
Summary

4. Visualizing Data Differently
Chart Types: Scatterplots
How to Read Scatterplots
How to Optimize Scatterplots
When to Avoid Scatterplots
Chart Types: Maps
How to Read Maps
How to Optimize Maps
When to Avoid Maps
Chart Types: Part-to-Whole
How to Read Part-to-Whole Charts
When to Use Part-to-Whole Charts
When to Avoid Part-to-Whole Charts
Summary

5. Visual Elements
Color
Types of Color Palettes
Choosing the “Right” Color
Avoiding Unnecessary Use of Color: Double Encoding
Size and Shape
Themed Charts
Size and Shape Challenges
Multiple Axes
Reference Lines/Bands
Reference Lines
Reference Bands
Totals/Summaries
Totals in Tables
Totals in Charts
Summary

6. Visual Context
Titles
Main Title
Subtitles, Standfirsts, and Chart Titles
Text and Annotations
Annotations
Text Boxes
Text Formatting
Contextual Numbers
Legends
Shape Legends
Color Legends
Size Legends
Iconography and Visual Cues
Thematic Iconography
Audience Guidance
Background and Positioning
The Z Pattern
Whitespace
Interactivity
Tooltips
Interactions
Summary

7. The Medium for the Message: Complex and Interactive Data Communication
Explanatory Communications
Gathering Requirements
Updating Data in Explanatory Views
So What?
Exploratory Communications
Gathering Requirements
Flexibility and Flow
Methods: Dashboards
Monitoring Conditions
Facilitating Understanding
Methods: Infographics
Methods: Slide Presentations
Methods: Notes and Emails
Summary

III: Deploying Data Communication in the Workplace
8. Implementation Strategies for Your Workplace
Tables Versus Pretty Pictures
Data Culture
Data Literacy
Improving the Visualization Mix
Static Versus Interactive
Let’s Talk About PowerPoint
More Than Just PowerPoint
Interactive User Experience
Centralized Versus Decentralized Data Teams
The Data Team
Data Sources
Reporting
Pooling Data Expertise
Self-Service
Live Versus Extracted Data
Live Data
Extracted Data Sets
Standardization Versus Innovation
Importance of Standardization
Importance of Innovation
Reporting Versus Analytics
Reporting: Mass Production
Analytics: Flexibility but Uncertainty
Finding the “Perfect” Balance
Summary

9. Tailoring Your Work to Specific Departments
The Executive Team
Finance
Human Resources
Operations
Marketing
Sales
Information Technology
Summary

10. Next Steps
Step 1: Get Inspired
Step 2: Practice
Step 3: Keep Reading

Index

Managementboek Top 100

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