Sentence examples for analytics means from inspiring English sources

In simple terms analytics means using quantitative methods to derive insights from data, and then drawing on those insights to shape business decisions and, ultimately, improve business performance.

And more data and analytics means a more effective recruiting and hiring process that leads to better hires.

Using these sources for analytics means that common structured data is now joined by unstructured data, such as text and human language, and semi-structured data, such as extensible markup language (XML), JSON or rich site summary (RSS) feeds.

From train track malfunctions, to power disruptions, to financial fraud, Smarter Analytics means more accurate predictions and faster reactions.

Advances in AI and data analytics mean much greater quantities of data can be used to inform decision-making and asset price predictions, such as market events (product releases and recalls, regulatory approvals, acquisitions) and unstructured data (images, video footage and live streaming).

A simplified model is also presented which facilitates the assessment of parametric influences by analytic means.

The test addressing so-called file drawer problem estimates the number of unpublished studies required to refute significant meta-analytic means.

But since the form of this distribution is difficult to obtain, we cannot obtain CIs by analytic means directly.

We derive some basic properties of the structure and dynamic behavior of the networks, both by sampling randomly constructed networks and by analytic means.

Although the high-throughput sequencing or microarray is possible analytic means for our mutant library, the design of our barcodes provides a medium-throughput alternative which requires only easily accessible laboratory techniques.

This can easily be resolved as appropriate analytic means (i.e. phased haplotype training sets and imputation software) are now freely available and have proved productive in the investigation of the X chromosome in other disease areas [e.g. type 2 diabetes (23)].