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 ...

Data visualisation and visual analytics techniques play an essential role in interpreting complex, high-dimensional information. By transforming raw data into graphical representations, these methods ...

Submit your application for our first class by April 15! The MPS Data Visualization & Communication (DV&C) program equips you with the tools to translate complex information into powerful stories that ...

Data visualizations can affect whether and how people understand and interpret data. Researchers and writers using data visualizations face choices about which data to use or emphasize. Those ...

What makes a data visualization truly memorable? Is it the sleek design, the clever use of color, or the ability to distill complex information into something instantly understandable? The truth is, ...

Advanced data visualization and analytics have become central to enterprise IT strategies as organizations face rapid data growth from cloud services, software-as-a-service applications, edge devices, ...

In the age of accelerated digital transformation, data is integral to day-to-day operations and long-term planning. To help transition innumerable data points into a more comprehensive narrative, ...

Data visualisation and user interaction represent a confluence of design, cognitive science and computer science, enabling the transformation of complex data sets into coherent, accessible images.

Business-to-business content is ripe with the potential to connect to readers’ values and drive impactful change within industries and communities. And there’s arguably no single more important aspect ...

In-demand skills include data analysis. It has been predicted that in 2026 businesses will place a high value on analysts who ...

Data can often feel overwhelming—rows upon rows of numbers, scattered information, and endless spreadsheets that seem to blur together. If you’ve ever stared at a dataset wondering how to make sense ...

For decades, visualization was the final stop on the data journey. It was optional—"good to have" on top of data analytics. Analysts would gather numbers, then clean and process, and only at the end ...