The U.S. Department of Energy (DOE) announced $26 million for research to advance scientific data management and visualization. Foundational research in data management will address challenges ...

Nowadays, it seems almost primitive to share visual ideas and data through the use of bar graphs, static pie charts and the like. Now, we can deliver visuals which are dynamic and interactive, ...

Katherine Haan, MBA, is a Senior Staff Writer for Forbes Advisor and a former financial advisor turned international bestselling author and business coach. For more than a decade, she’s helped small ...

Data visualization is a process in data analytics where visual representation communicates the data and insights to facilitate good data-driven decisions. Basically, data visualization is ...

Know what message you’re trying to communicate before you get down in the weeds. by Scott Berinato Not long ago, the ability to create smart data visualizations, or dataviz, was a nice-to-have skill.

Data visualization is the graphical representation of information and data via visual elements like charts, graphs, and maps. It allows decision-makers to understand and communicate complex ideas to ...

Emerson Electric Co. EMR recently unveiled its latest data visualization software solution for flow measurement — Micro Motion ProcessViz. Notably, the software solution facilitates quick ...

Time may seem scarcer than ever, but fortunately technological advancements have presented auditors with many tools to improve the effectiveness and efficiency of audits. One such tool is data ...

DUBLIN, July 5, 2021 /PRNewswire/ -- The "Global Biological Data Visualization Market (2021-2026) by Technique, Application, Platform, End-use, Geography, Competitive Analysis and the Impact of ...

Embedding analytics in applications is a smart way to expose insights and decision-making capabilities directly in employee workflow and customer-facing apps. Today, many organizations are developing ...

Data visualizations can significantly affect how people understand and interpret data. But data visualizations can be biased and exclusionary, perpetuating inequity and harmful stereotypes.