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 ...

It can be tough to manage data manually, and doing so can sometimes lead to errors or inefficiencies. Spreadsheets can get overly complex, and data quality can suffer. This has become a large enough ...

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 ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...