Key data and analytics trends in 2026 include decision intelligence, real-time analytics, semantic layers, platform ...

Many organizations are challenged with scaling analytics to reach every employee and/or realizing the full value of their analytics investments. Also, the exponential amount of data they’re generating ...

Data, data, data-there's more of it every day, at greater complexity than ever before. While having the tools to manage and utilize that data is necessary, ensuring you are leveraging the maximum ...

Cloud data was supposed to enable AI at scale and democratize data. But how do we cope with the new complexities of distributed data? The emerging discipline of DataOps may help us here - along with ...

McGill University credits General Electric with developing value analysis, also known as value engineering, as a practice during the late 1940s. Value analysis is a methodical approach to sharpening ...