eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

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 ...

In today’s data-driven world, the ability to visualize and report information effectively is essential for making informed decisions. Power BI stands out as a powerful tool for transforming raw data ...

CPAs are masters at collecting, analyzing and presenting data to their clients in valuable financial reports. Visualizations are essential tools for CPAs in this process as they look to convey ...

Learn how to make the most of Observable JavaScript and the Observable Plot library, including a step-by-step guide to eight basic data visualization tasks in Plot. Built-in reactivity is one of ...

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 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 ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

The Master of Science in Data Analytics and Visualization (DAV) program addresses the growing need for analysts, researchers, developers, designers, mapmakers, usability experts, and other data ...

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.