Sentence examples for huge data analysis from inspiring English sources

"huge data analysis" is a correct and usable phrase in written English.
It can be used to describe the process of analyzing large amounts of data, typically for the purpose of gaining insights or making decisions. Example: Our company is conducting a huge data analysis to better understand our customers' preferences and behaviors.

Exact(1)

At its height, Zynga had a huge data analysis division dedicated to studying player behaviours and changing the flow of its games accordingly.

Similar(59)

We saw there was an opportunity to deliver huge performance improvements in data analysis in a simple, elegant appliance form factor at a fraction of the cost of the incumbents.

The analysis of huge data sets produced by these sensors (Big Data) could allow quick and accurate decision making.

Overall, lots of smart people are settling in on this as an in-memory database to allow interactive analysis with huge data sets.

Sociocast offers predictive modeling of human behavior based on analysis of huge data sets, enabling company like advertising technology vendors to gain real-time audience insights that help their own clients make effective marketing decisions.

The results of coexpression analysis using this huge data set were combined with comprehensive gene annotations and data from metabolomics analysis, and then functions of several unknown genes associated with glucosinolate and flavonoid biosynthesis were elucidated.

A new analysis of a huge data breach last year in Utah estimates that more than 120,000 cases of fraud will occur as a result of information stolen.

These huge data sets need new tools for analysis.

Continuuity's Jonathan Gray envisages farmers plugging in to big data capabilities on their phones and mobile soil analysis readers, accessing huge data sets on weather, soil types, optimum sowing times and crop yields, for example.

Store and analysis of those huge data are not easy and computer scientists bring out a solution called cloud computing.

With the advances in next-generation sequencing techniques, researchers are facing tremendous challenges in metagenomic data analysis due to huge quantity and high complexity of sequence data.

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