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
About the Authors
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Shared Understandings

A culture of data fluency needs to be built on a shared understanding of the data sources, data analysis, key metrics, and data products. It requires employees to be on the same page about how data is used and why it is important.

In general, the concept of shared understanding is a fundamental building block for organizational success. It allows everyone to be working toward the same goals, have a common set of principles, and be in alignment about the organizational vision. Creating a shared understanding allows employees to act with autonomy and creativity because they can align their actions to the established mission of the organization’s leaders, as shown in Figure 6-3.


Figure 6-3: It can be difficult to get everyone on the same page.

Within the context of data fluency, shared understanding is based on people knowing what data means and how it is used. The previous section touched on the importance of clearly defining key metrics, the challenges that...