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 ...

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If there’s one thing that characterizes the Information Age that we find ourselves in today, it is streams of data. However, without proper ways to aggregate and transform this data into information, ...

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 ...

Businesses have relied on experiences and intuition-based decisions from senior leaders for growth for decades. These methods, while still being highly valuable, have been augmented by data-driven ...

This pie chart illustrates the distribution of visualization tools in the FigureYa resource package across three dimensions: research type (outer ring), analysis method (middle ring), and output ...

The MPS Data Visualization & Communication (DV&C) program equips you with the tools to translate complex information into powerful stories that grab attention and move people to action. With a ...

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 ...

The social science data analysis and visualization minor introduces students to the fundamentals and current innovations of research and data analysis across social science disciplines. It equips ...

Data visualization is not just an art form but a crucial tool in the modern data analyst's arsenal, offering a compelling way to present, explore, and understand large datasets. In the context of ...

These days we have a ton of geospatial data coming off the increasing numbers of satellites circling in our atmosphere, but it takes some serious processing power and engineering prowess to turn that ...

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