Sentence examples for creating analytical from inspiring English sources

Exact(7)

Many companies are creating "analytical sandboxes" as an approach to establishing a Big Data environment.

Industrial-organizational psychologists are especially helpful in creating analytical initiatives and ongoing programs.

Analyzing data carefully and creating analytical frameworks to understand what the data are telling us are critical functions.

The students' results confirmed an earlier finding by engineering consulting firm Haley & Aldrich that the Byerly Hall wells could handle the additional load but also took the investigation several steps further, creating analytical tools that may improve performance and efficiency in the long term.

Our recent article, "Minding the Analytics Gap", offers five ways for managers to increase their comfort: (1) bolstering their knowledge base; (2) building off their prior analytical experiences; (3) creating analytical options; (4) capitalizing on their domain knowledge; and (5) using their background to recognize the limitations of analytical models.

Many of these studies focus on creating analytical models expressing driver behavior in relation to the characteristics of the roads [1, 2, 3, 4].

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Similar(53)

[A shapefile contains geographic boundaries and is used to create analytical maps].

Large blocks of missing data can create analytical problems13 and further data collection may ultimately be necessary14.

A series of further workshops culminated in June 1999 with the establishment of a scientific steering committee of prominent marine scientists that met in Paris in 2000 and enumerated the specific goals of the census: (1) centralize existing knowledge in an Internet database, (2) create analytical tools for querying the database, and (3) determine how to implement new technology in field studies.

Blended learning is meant to increase learners' levels of knowledge construction in order to create analytical skills in them.

Researchers commonly use big data to look for correlations yet the high dimensionality of big data creates analytical challenges.

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