In my 20 years of experience, I've seen how data centralization and visualization can support strategic decision making by making complex data from multiple sources clear and easy to interpret. This ...

Editor’s note: This is the third article in a four-part series that is part of a larger initiative the AICPA Auditing Standards Board (ASB) has undertaken to understand and support technology use in ...

Picture this, you're waist-deep in recruitment data - metrics, ad spend, and retention rates - and all you see is a whirlpool of figures and stats. How great would it be if this chaotic jumble could ...

Talking about large datasets with a variety of different variables interacting with each other can quickly get confusing for an audience. Communicating the value of the data or the specific trends ...

Mike Palmer is the CEO at Sigma Computing where he makes data exploration, analysis, and business intelligence accessible to everyone. For too long, data visualization has prevented us from accessing ...

Big data is also effective in helping to improve the operational running of a company. No matter how much data a business has, the raw data is of no use unless it is analyzed effectively. There is ...

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 ...

Data visualization changes cryptocurrency investment strategies by transforming complex market data into clear visuals. Visual aids are critical for understanding and navigating any market, especially ...

Unlock your potential as an automation artist! Learn how Ignition 8.3's new design features allow you to swiftly create ...

Learn the various types of digital twins, how they are used for visualization and what considerations to make for successful implementation Discover how extended reality, including augmented, virtual ...

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