Sentence examples for glean data from from inspiring English sources

However, in our research, the most analytically mature organizations are four times more likely to glean data from all three sources compared to less analytically mature organizations.

Dr. Robinson, an assistant professor in the divisions of internal medicine and health sciences informatics, and Dr. Goodman, a professor of epidemiology and biostatistics and editor of the journal Clinical Trials, began their study by identifying 227 meta-analyses, which are studies that combine relevant previous studies to glean data from pooled evidence.

Many banks and research organisations also track price changes, and experiments like the Billion Price Project glean data from online retailers, allowing for real-time inflation updates.Though rates differ from index to index, central banks can have reasonable confidence in the accuracy of the statistics when similar trends show up across the various measures.

Zoyi, which recently launched Walk Analytics to help stores glean data from offline data like foot-traffic, visit duration and engagement.

For many drugs the extent of resistance is uncertain and mechanisms of resistance are unknown, and thus the opportunity to glean data from the 10 ICEMR surveillance sites is highly valuable.

Bertsimas and his team gleaned data from Google Maps to analyze traffic patterns during morning and afternoon rush hours.

An international team gleaned data from a massive national survey of Aedes mosquitoes performed between 2002 and 2004 in Thailand, where dengue is rife.

Cybersecurity startup Massive Alliance uses a slightly different approach to glean information from unstructured data.

Using a dial-up connection, he had to try to glean cryptic data from Department of Defense weather Web sites.

In 2009, Alinghi accused a BMW Oracle employee, Jean Antoine Bonnaveau, of taking photographs of its boats in order to glean technical data from them.

It has been necessary to invent new analysis methods to glean useful data from often disparate databases, and to make sure that the results produced aren't biased.