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 your business and data experts both 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
Preface Why I Wrote This Book Who Is This Book For? How the Book Is Organized Conventions Used in This Book Using Code Examples O’Reilly Online Learning How to Contact Us 1. Communication What Is Communication? The Communication Process Don’t Forget About Memory Why Visualize Data? Pre-Attentive Attributes in Action Communicating with Data Summary 2. Data What Is Data? The 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, Warehouses, and Lakes Application Programming Interfaces (APIs) 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 3. Visualizing Data Tables How to Read How to Use (and Optimize) When Not to Use Tables Bar Charts How to Read How to Use When Not to Use Line Charts How to Read How to Use When Not to Use Summary 4. Visualizing Data Differently Chart Types - Scatterplots How to Read? When to Use? When Not to Use Chart Types - Maps How to Read When to Use When Not to Use Chart Types - Part-To-Whole How to Read When to Use When Not to Use Chart Types - Sankeys and Radials How to Read When to Use When Not to Use Summary 5. Visual Elements Color Types of Color Palette Choosing the ‘Right’ Color Avoiding Unnecessary Use of Color Size and Shape Themed Charts Size and Shape Challenges Multiple Axes Reference Lines / Bands Reference Lines Reference Bands Totals Totals in Tables Totals in Charts Summary 6. 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 Easier Production 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
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