Overview: Python data types define how values are stored, processed, and interpreted in every program.Choosing the right data ...

Intentional governance, process redesign, change management and data strategy all must be addressed to achieve optimal ...

Dark data not only generates unnecessary costs, but also increases risks and the potential for losses. Here's what business ...

Real-time security clearances are becoming increasingly common in manufacturing of advanced-node semiconductors, where data ...

The original definition of the word “bias,” when it entered the English language in the 16th century, was a diagonal line, and specifically one that cut across the warp or weft of a woven fabric. It ...

Analytics matter more than ever in healthcare to improve efficiency, compliance and financial outcomes with McKesson Business Analytics.

Sports analytics and tech are no longer siloed. They’re merging into an interactive layer atop the rapidly growing $500 ...

Aging systems and climate pressures are accelerating the move to durable materials, continuous monitoring and predictive ...

NPR's Michel Martin speaks with Mark Zandi, chief economist at Moody Analytics, about the Federal Reserve's decision to cut interest rates and what it means for consumers.

Objective To quantify the time lag between biomedical articles and the studies they describe as “recent,” a term widely used to imply timeliness despite rarely reflecting the actual age of the cited ...

Learn Data Analysis Essentials in Excel in just 12 minutes! This tutorial uses a real-world dataset on the Olympics to cover ...

Blackhawks coach Jeff Blashill prefers internal analytics to public models. Is he justified, and where are the weaknesses in ...