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

Chapter 8
The Journey to Data Fluency

Data is music to his ears. Stephen Brady was just out of college and had landed his dream job. He was working for a country music label in his hometown Nashville, Tennessee. Stephen wasn’t an aspiring musician or music producer; his talents were in data analysis.

A few months after joining Black River Entertainment, Stephen could hardly believe the possibilities before him. He had access to broad and deep data about radio promotion and plays. The potential seemed enormous: He could see how different songs performed as they moved up or down the charts. He could track the viral nature of songs as they spread across geographic areas. And yet, it seemed as if nobody—within the industry, much less his organization—was making use of these data assets.

Stephen set to work building probabilistic models to forecast radio airplay trends. He looked for predictive variables that could help improve the efficiency of radio promotion. His...