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)
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About the Authors
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The scourge of data in most organizations is the ever-growing collection of reports that get generated month after month. New reports are created but seldom killed. The mass of data products quickly becomes difficult to navigate and the right information is hard to find. Even for the data that has found a suitable audience, there is seldom a feedback loop. The direction and needs of the organization may change, yet the content does not change to fit evolving demands.

Data products should be living documents. They should improve over time or be removed if they are no longer relevant. It is a matter of survival of the fittest.

Data fluent organizations recognize that too much content—particularly data content—will clog up the channels of communication. The data products must be distilled to the essential information. You want to clean out distractions and emphasize the most useful remaining parts.

To filter and clean your data product ecosystem, you need processes...