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

Necessary Conditions

Sun and water and soil make the flowers grow. What will make your data products flourish? This chapter is an exploration of the conditions that, taken together, create a fertile environment for data to flow freely. Data products need an environment that:

  • Encourages the right data products to be created and shared;
  • Makes it easy for knowledge workers to find the right information for their job;
  • Cleans out the old and irrelevant data products, like a gardener who diligently weeds.

Creating an ecosystem for data products requires processes and tools. Processes set standards and ensure that the right priorities and qualities are built into every data product. Technology tools gather data, visualize the results, and distribute data products to users. Here are the six conditions (“the Six Ds” shown in Figure 7-2) that we have found most critical to the data product ecosystem:

  1. Demand—What are the most important areas that would benefit from the insights...