Abstract The domain of Visual Analytics has emerged with a charter to support interactive
exploration and analysis of large volumes of (often dynamic) data. A common feature shared …

We present a vision of next-generation visual analytics services. We argue that these
services should have three related capabilities: support visual and interactive data …

Visual data analysis is a key tool for helping people to make sense of and interact with
massive data sets. However, existing evaluation methods (eg, database benchmarks …

Visual analytics is becoming the fastest way for people to explore and understand data of
any size. Many companies took notice when Gartner cited interactive data visualization as …

Never before in history data is generated and collected at such high volumes as it is today.
As the volumes of data available to business people, scientists, and the public increase …

Analysts exploring big data require more from information visualization, data analysis, and
data management than these components can now deliver. New infrastructures must …

Visualization is one of the most effective and widely-used techniques for understanding
data. Yet, the growing use of visualizations for exploratory data analysis poses new …

Data Analytics Anywhere and Everywhere Page 1 key insights ˽ Data is collected
everywhere on our increasingly connected and informationrich globe. ˽ Mobile and IoT …

In the age of big data, being able to make sense of data is an important key to success.
Interactive Visual Data Analysis advocates the synthesis of visualization, interaction, and …

Visual analytics has seen unprecedented growth in its first 5 years of mainstream existence.
Great progress has been made in a short time, yet significant challenges must be met in the …