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

A Checklist for Creating Data Products

Data is the new oil.

—Everyone (first by Clive Humby)

Treat data like money.

—Jim Davis (SAS CMO) in The Economist

Are you sitting on a gold mine—if only you could transform your unique data into a valuable, monetizable data product?

Over the years, we’ve worked with dozens of clients to create applications that refine data and package the results in a form users will love. We often talk with product managers early in the conception phase to help define the target market and end-user needs, even before designing interfaces for presenting and visualizing the data.

In the process, we’ve learned a few lessons and gathered many useful resources. The checklist shown in Figure A-1 is divided into four sections:

  1. Audience—Understand the people who need your data.
  2. Data—Define and enhance the data for your solution.
  3. Design—Craft an application that solves problems.
  4. Delivery—Transition from application...