Book Image

Data Fluency

By : Zach Gemignani, Chris Gemignani, Richard Galentino, Patrick Schuermann, Nathan Yau‚ÄØ
Book Image

Data Fluency

By: Zach Gemignani, Chris Gemignani, Richard Galentino, Patrick Schuermann, Nathan Yau‚ÄØ

Overview of this book

Analytical data is a powerful tool for growing companies, but what good is it if it hides in the shadows? Bring your data to the forefront with effective visualization and communication approaches and let?Data Fluency:?Empowering Your Organization with Effective Communication?show you the best tools and strategies for getting the job done right. Learn the best practices of data presentation and the ways that reporting and dashboards can help organizations effectively gauge performance, identify areas for improvement, and communicate results. Topics covered in the book include data reporting and communication, audience and user needs, data presentation tools, layout and styling, and common design failures. Those responsible for analytics, reporting, or BI implementation will find a refreshing take on data and visualization in this resource, as will report, data visualization, and dashboard designers.

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Current Title:

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Data Fluency
Zach Gemignani | Chris Gemignani | Richard Galentino | Patrick Schuermann | Nathan Yau‚ÄØ
Nov, 2014 | 288 pages
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Table of Contents (20 chapters)
Free Chapter
1
Foreword
Foreword
2
Introduction
Introduction
Data Is the New Language of Business
Data Communication Is a Social Problem, Not a Technology Problem
Connecting and Collaborating
Turning Data into Action
Visualization Is Only a Piece of the Solution
Who Is This Book For?
3
Chapter 1: The Last Mile Problem
Chapter 1: The Last Mile Problem
The Information Age: Driving the Need for Data Fluency
Data Fluency: Unlock the Potential Energy of Data in Your Organization
4
Chapter 2: The Data Fluency Framework
Chapter 2: The Data Fluency Framework
The Data Fluency Framework
Resources for More Depth
Benefits of the Data Fluent Organization
How to Use This Framework
How Organizations Struggle
Summary
5
Chapter 3: How Organizations Struggle with Data Fluency
Chapter 3: How Organizations Struggle with Data Fluency
Pitfalls on the Path to Data Fluency
Finding Balance
6
Chapter 4: A Consumer’s Guide to Understanding Data
Chapter 4: A Consumer’s Guide to Understanding Data
Data Products
Learning the Language of Data
Wrapping Up
7
Chapter 5: Data Authors: Skilled Designers of Data Presentations
Chapter 5: Data Authors: Skilled Designers of Data Presentations
A Rare Skillset
What You’ll Learn
Guided Conversations
Design Principles
Viva the Authors of Data Products
8
Chapter 6: The Data Fluent Culture
Chapter 6: The Data Fluent Culture
Leadership, Culture, and Communicating Priorities
Establishing Key Metrics to Rally Around
Shared Understandings
Everyday Activities
Evolution of Data Fluent Cultures
9
Chapter 7: The Data Product Ecosystem
Chapter 7: The Data Product Ecosystem
Data Products for Information Delivery
Necessary Conditions
Learning from the App Store
Demand
Design
Develop
Discover
Discuss
Distill
Learning from Wikipedia
“Only Connect”
10
Chapter 8: The Journey to Data Fluency
Chapter 8: The Journey to Data Fluency
Why Data Fluency?
Data Consumers: Creating a Sophisticated Audience
Data Product Producers: The Skills to Enable Effective Data Communication
Data Fluent Culture: Building a Shared Understanding of Data
Data Product Ecosystem: Tools and Processes to Facilitate the Fluid Exchange of Information
Begin the Journey
11
Feature: The Data Fluency Inventory
Feature: The Data Fluency Inventory
The Data Fluency Inventory Survey Questions
Summary of the DFI
DFI Scoring Guide (for Organizations)
Scoring Guide (for Individuals)
DFI Supporting Materials
12
Titlepage
Titlepage
13
Copyright
Copyright
14
Dedication
Dedication
15
About the Authors
About the Authors
16
Credits
Credits
17
Acknowledgments
Acknowledgments
18
End-User License Agreement
End-User License Agreement
Appendix A: Designing Data Products
Appendix A: Designing Data Products
A Checklist for Creating Data Products
Think Like a Designer
Designed to Be Used
Breaking Free of the One-Page Dashboard Rule
Dashboard Alerts Checklist
8 Features of Successful Real-time Dashboards
Appendix B: Style Guide
Appendix B: Style Guide
Style Guide Sample 1: Fonts
Style Guide Sample 2: Colors
Style Guide Sample 3: Date/Number Formatting
Style Guide Sample 4: Bar Charts
Style Guide Sample 5: Trend Charts
Style Guide Sample 6: Tables

Learning from Wikipedia

Possibly the best example of an online living “document” is Wikipedia. Although many people benefit from the front end of Wikipedia, there is a whole ecosystem undergirding the popular website. The data that is viewed by all is created and managed by a network of administrators, bureaucrats, stewards, reviewers, and other specialty groups. The ecosystem governs the content and makes public all edits on any page identifying the author. Each page and piece of data is vetted and improved by the power of collective knowledge. Wikipedia, a nonprofit organization, is fueled by voluntary effort. Yet, few large organizations have figured out how to harness the collective knowledge of their employees or associates.

Objective

The goal for a data fluent organization should be to have multiple mechanisms to provide feedback on data products to ensure they evolve as needs evolve. Those data products that don’t continually change to fit audience needs...

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