The Google Big Picture Group has a number of eye-catching big data visualizations based on on-going research projects at the search engine giant. One project, Music Timeline as shown below, shows how ...

Choosing the right way to visualize your data makes the difference between telling a clear, compelling story or creating cognitive overload. Here's how to pick. Data is best understood when presented ...

Data visualization is a process in data analytics where visual representation communicates the data and insights to facilitate good data-driven decisions. Basically, data visualization is ...

Big Data and the ever-growing access we have to more information is the driving force behind artificial intelligence and the wave of technological change sweeping across all industries. But all the ...

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 ...

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 ...

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 ...

Planning and executing an excellent SEO strategy is critical for any digital marketing campaign. However, the effort requires data to tell the story in a way that resonates with our clients. But ...

Law firms sit on enormous volumes of data—case histories, client communications, contract iterations, billing records, and even attorney workload metrics. Yet much of this information remains trapped ...

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.