Sentence examples for data streamlining from inspiring English sources

Even in the European Union – which is designed for international cooperation and is relatively uniform in many ways – some measurements are not standardized, resulting in useless data (Streamlining European Biodiversity Indicators, 2011).

Irrespective of the fact that reliable historical DD data do not exist for the Pan-tropical belt, the currently proposed methods to quantify RL on historical information will be insufficient without the consideration of national circumstances (drivers) and global data streamlining.

When the team realized that they had neglected to account for one potential confounder shift work a young scientist at UChicago Lab School jumped in to help; her professionalism helped them find and integrate that data, streamlining the paper's avenue to publication.

Companies are using chatbots as personal assistants, for on-demand customer support, to mine data, streamline business processes, recover product information and to answer employee questions.

We offer traditional distribution and the benefits that brings, including the ability to have your books preordered and your data streamlined; a curated, selective acquisitions process; and we have a publisher at the helm making sure there's a cohesive vision and that all of the books are adhering to a level of quality that's on par with traditional publishing.

The automatic uploading and scoring of the data streamlined the entire data collection process, and, in our view, these features may lead to widespread adoption of computerized cognitive testing.

"Simply put, trading on all types of data and streamlining the pipes between demand and supply is way overdue and will solve tons of pain points for publishers and advertisers," C2's Chris Cunningham told me via email.

For the future, it will be important to adopt a strategic approach to data collection, streamlined by lessons from past experience, and enhanced by successes and innovative modes of data collection elsewhere.

Co-founder Louise Atkinson explained that the aim was to create a framework that uses data to streamline workflow in order to save time and resources.

With high-processing speed, sufficient time will be available for the integration of future developments that further enhance ofMRI data or streamline the study.

Soon she was helping other colleagues deal with their data and streamline their work.