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 ...

Forbes contributors publish independent expert analyses and insights. I write about digital marketing, data and privacy concerns. Any great story means visualization and detail. It takes the small ...

Why visualization is critical in digital analytics. Visualization is critical in digital analytics. After all, visual representations of data can, for example, tell you at a glance how well your ...

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 ...

Imagine tapping into a raw data feed from a distributed network of IoT devices in a logistics center. The center is full of robots, employee work stations, and shipping and receiving docks. The data ...

That’s an impressive testament to the power of data. But that power is limited when it’s not accompanied by strong data visualization. In fact, 89 percent of the companies surveyed said that managing ...

“A picture is worth a thousand words”. This is as true for data as it is for art. With the advent of big data, there is a tremendous need to manage, interpret and communicate it effectively – because ...

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 ...

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 ...

This online certificate program helps professionals succeed in environments where Big Data and metrics are key. Hands-on courses in information design, data analytics and filtering, visualization best ...

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