As healthcare delivery continues to evolve, healthcare organizations are often moving too quickly from EHR implementation to population health to risk-based contracts, glossing over (or skipping ...

It is easy to think of data quality analysis in terms of absolutes – a date of birth is, after all, either right or wrong. But in many other cases, data quality is not clear-cut and it can vary, ...

Data drives smart decision-making in modern industries, but the old saying still holds true: “Garbage in, garbage out.” The quality and completeness of the data pulled for analysis play a huge role in ...

Forbes contributors publish independent expert analyses and insights. Gary Drenik is a writer covering AI, analytics and innovation. In today’s rapidly transforming world, Data has emerged as a key ...

In some ways, data and its quality can seem strange to people used to assessing the quality of software. There’s often no observable behaviour to check and little in the way of structure to help you ...

Organizations addressing data quality issues as a strategic operation are positioned to adapt to latest trends and scale their businesses ...

Reliable data enables U.S. Army leaders at every echelon to make informed decisions, uncover complex information and develop solutions to achieve operational success. For the Army analysis community ...

A data-driven environmental planning framework strengthens climate governance through quality control standards, interdisciplinary expertise, and predictive emission modeling. By integrating ...