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.
Table of Contents (20 chapters)
Free Chapter
1
Foreword
12
Titlepage
13
Copyright
14
Dedication
15
About the Authors
16
Credits
17
Acknowledgments
18
End-User License Agreement

Viva the Authors of Data Products

This chapter was about the people in organizations who do the hard work of creating reports, presentations, and dashboards that communicate data. It is a common activity, but a role that is seldom identified explicitly or described with a set of skills and objectives. This chapter explained what it is to be an author of data products, and why this role is essential to the success of a data fluent organization. It is not just that these producers facilitate the flow of information between people. They also add tremendous value to the data they are communicating by analyzing, summarizing, structuring, storytelling, visualizing, and contextualizing.

It takes many diverse skills to be good at designing data products. Although some of these skills were mentioned, they were not described in sufficient depth to make you an expert. More than teaching skills, you were provided with guidance as to what matters the most in the process by focusing on the following...