Selecting a Visual Analytics Application

Visual analytics is becoming the fastest way for people to explore and understand data of any size. Read our definitive guide for selecting a visual analytics, or data visualization, software application.

Based on the 7 defining characteristics of visual analytics, this white paper will tell you exactly what to look for and how to evaluate applications.

You’ll learn:

How visual analysis software supports the cycle of visual analysis
Why visual analysis helps humans process data and information more rapidly
The importance of multi-dimensional visual expressiveness
How automatic data visualization significantly reduces work time and helps people think visually
Why being able to shift perspectives on data is so critical to understanding
How linking perspectives across dashboards and views makes analysis faster and more effective
Why data visualization naturally extends collaboration across your organization

For each essential element, you’ll learn exactly the questions to ask application vendors about their visual analytics capabilities. The paper includes actual examples of organizations all over the world using visual analytics.

Vendor:: Tableau Software
Posted:: Feb 8, 2021
Published:: Apr 20, 2009
Format:: PDF
Type:: White Paper

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