Sentence examples for data from multiple systems from inspiring English sources

Exact(12)

We can process very large amounts of data from multiple systems in just a few hours each month and very quickly flag up what needs to be investigated further.

ARCH facilitates secondary use of EHR data for research as well as capture of novel research measures and integration of data from multiple systems.

Research data repositories (RDRs) enable investigators to aggregate and transform data from multiple systems into a single secure resource customized to their needs.

The data integration architecture represents the workflow of data from multiple systems of record through a series of transformations used to create consistent, conformed, comprehensive, clean, and current information for business analysis and decision making.

More than likely, you are using data from multiple systems to put together this type of reporting.

I saw this first-hand with a client who wanted to do customer cohort-based LCTV analysis that required data from multiple systems.

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Similar(48)

Because there are potentially millions of interactions, companies need a platform that can connect the data dots from multiple systems and address the complete customer experience.

The application pulls together current information from multiple systems "to get data in near real-time and report it over the Web, without first loading it into a data warehouse," Tocco says.

The Treasury Inspector General for Tax Administration, which monitors the IRS, said that data errors can arise when the IRS moves information from multiple systems into one registry for whistleblower claims.

To overcome this problem, models are often fit to data sets composed of observations from multiple systems.

The new NIH-funded project, titled spatio-temporal data integration methods for infectious disease surveillance, aims to develop statistical techniques for integrating complex data from multiple surveillance systems, providing critical insights into how surveillance systems function and leading to key advances in surveillance informatics.

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