Sentence examples for power of analytic from inspiring English sources

Similarly, itemised phone bills let people monitor their spending more easily.As the cost of storing data plummets and the power of analytic tools improves, there is little likelihood that enthusiasm for data mining, in all its forms, will diminish.

Without access to the power of analytic geometry, classical Greek mathematicians such as Archimedes (c. 285 212/211 bc) solved special cases of the basic problems of calculus: finding tangents and extreme points (differential calculus) and arc lengths, areas, and volumes (integral calculus).

The increased power of analytic methods for the study of the human microbiome may facilitate such exploration.

The young founder explains, "We concentrate on ease and naturalness of use, instead of the power of analytics".

The company is focusing on using the power of analytics and data to improve the quality of every aspect of the business, Andrew Allison, company co-CEO told TechCrunch.

In a prepared statement, NEA director Tarun Sharma said IntelligenceNODE's "technology enables brands and retailers, especially in the fashion and accessories categories, to harness the full power of analytics which was a pain point earlier given the non-standardized nature of products in these categories".

18. 92% of high-performing organizations strongly agree that harnessing the power of analytics is strategic to future success.

"Really the power of analytics to provide us insight and predictions from our data and information for decision-making and innovation".

The power of analytics One of the more useful trends in education today is analytic-driven instruction, the strategic application of analytics based on targeted sets of learning data -- things like assignment scores, time spent on the material, progress in an adaptive learning environment.

In a series of simulations, we compared the Type I error rates and power of two analytic practices that researchers might use when confronted with an unanticipated, independent covariate.

Few gene-environment interactions (G × E) have been discovered in cancer epidemiology thus far, in part due to the large number of possible G × E to be investigated and inherent low statistical power of traditional analytic methods for discovering G × E. We consider simultaneously testing for interactions between several related exposures and a genetic variant in a genome-wide study.