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 ...

Breakthroughs, discoveries, and DIY tips sent every weekday. Terms of Service and Privacy Policy. We are awash with data, and it keeps piling up: Some analysts ...

This story contains interviews with data visualization professionals Moritz Stefaner, Scott Murray, Benjamin Wiederkehr, partner at design and technology studio Interactive Things, data visualization ...

Time may seem scarcer than ever, but fortunately technological advancements have presented auditors with many tools to improve the effectiveness and efficiency of audits. One such tool is data ...

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 ...

Most data are subject to uncertainty: the possibility that the true values may be different from our estimates. The unknown is especially difficult to escape in forecasts — of the weather, economic ...

Many companies grapple with data challenges. In a 2019 survey, Deloitte reports that 67% of executives aren’t comfortable accessing or using the data at their organizations. In a separate poll from ...

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 ...

Through rigorous, data-based analysis, researchers and analysts can add to our understanding of societal shortcomings and point toward evidence-based solutions. But carelessly collecting and ...

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