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

Data Products

In Empire, Andy Warhol captured data from a constant data source and created a unique data product. Twenty-four times per second, the camera captured data, an image of the New York skyline. The data source was the skyline from 8 p.m. to 2 a.m. The data product is the film.

Broadly defined, data means events that are captured and made available for analysis. A data source is a consistent record of these events. And a data product translates this record of events into something that can easily be understood.

Data products have changed rapidly with technology. Today, data products may be automated, like a website that shows you reports in real time, or they may be built by hand, like a PowerPoint presentation. They can be raw data extracts—perhaps a CSV file containing sales details, or they can be highly processed, like a complex, interactive data visualization.

Consider a large healthcare company, a client of ours. This client captures data on hospitals from around...