Simplify complex datasets using Principal Component Analysis (PCA) in Python. Great for dimensionality reduction and ...

On this third episode of Ropes & Gray’s Insights Lab’s four-part Multidimensional Data Reversion podcast series, Shannon Capone Kirk and David Yanofsky discuss the crucial steps in the iterative cycle ...

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 ...

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 ...

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 ...

To extract information from high-dimensional data efficiently, visualization tools based on data projection methods have been developed and shown useful. However, a single two-dimensional ...

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