Sentence examples for aggregation and analysis from inspiring English sources

The phrase "aggregation and analysis" is correct and usable in written English.
It can be used in contexts related to data processing, research, or any situation where data is collected and examined.
Example: "The report focuses on the aggregation and analysis of survey data to identify trends in consumer behavior."
Alternatives: "data collection and examination" or "data gathering and assessment".

Exact(42)

Gundersen, G. W. et al. GEN3VA: aggregation and analysis of gene expression signatures from related studies.

Data aggregation and analysis have become an integral part of business.

UK grocery chain Tesco is one company that employs enterprise IT's aggregation and analysis capabilities in this way.

To overcome data quality concerns, Missouri-based FarmLink controls the aggregation and analysis of the information it uses.

Conventional approaches to data aggregation and analysis, such as spreadsheets and database tables, are ill-suited to managing a wide variety of data formats.

He is the technical lead on the Media Cloud project, a text aggregation and analysis tool for studying online media created at the Berkman Center.

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His main topics of research are the development and application of bibliometric indicators to various levels of aggregation, detection and analysis of cognitive structures of scientific research, subject delineation and classification and mathematical models for the processes of scholarly communication.

Data were entered into EpiInfo 3.2® (Centers for Disease Control and Prevention, Atlanta GA, US) and transmitted to the central database at the IDI for aggregation, cleaning and analysis.

These aggregation and regression analysis sites are trying to find accuracy with incredibly inaccurate data.

Familial Aggregation and Segregation Analysis of Snoring and Symptoms of Obstructive Sleep Apnea.

Co-founded by Joey Chung and Mario Yang, the site uses multiple channels and organic marketing through social media to build readership without sacrificing the quality of their content, which combines news aggregation and original analysis.

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