Sentence examples for analytics aim from inspiring English sources

So it's a telemedicine tool with Tissue Analytics' aim being to bring a radiology-style approach to the field of chronic wound care.

So, for now, all we know is that Intellify wants to "provide a standards-based instrumentation framework for online course developers and schools, curriculum and learning designers, and ed tech application developers" … and that its "cloud-delivered data and analytics" aim to help schools refine online learning experiences.

In a more ambitious fashion, an ideal news machine should run analytics aimed at anticipating/predicting spasms in the news cycle.

Google Analytics aims high, comScore aims low.

On the top, Big Data analytics aims variable association (e-commerce), data mining (predictive behaviour) or clustering (marketing segmentation).

The public launch is also being accompanied by a handful of new metrics in YouTube Analytics, aimed at helping creators better understand how their videos are performing.

Learning analytics aims to support pedagogical approaches by providing assistance, often to the teacher, on some of the practical issues they face in their teaching (e.g. the quality of learning material or engagement of students with specific exercises).

Two different Learning Dashboards have been designed in order to represent the most interesting Learning Analytics aiming at providing teachers and learners with easy understandable view of learning data in virtual learning environments.

Talent Insights is significant in part because it is LinkedIn's first foray into business intelligence, that branch of enterprise analytics aimed at helping execs and other corporate end users make more informed business decisions.

And, of course, companies such as Google, Amazon, Facebook and much of the advertising industry have developed analytics that aim to offer goods and services, tailored to our interests and past behaviour.

Visual analytics techniques aim to filter irrelevant information, present the data in a way that is easy to memorize and highlight interesting connections between entities of the data, e.g., molecules or substructures.