Sentence examples for sophisticated data analytic from inspiring English sources

Sophisticated data analytic procedures taking into account both the longitudinal nature of the data and the potential for missing data points due to attrition, will be employed.

In contrast, the strengths of the study include a diverse community-based sample with high rates of participation and retention, and the use of sophisticated data analytic procedures that permit maximum flexibility and power in analyzing both cross-sectional and longitudinal data.

Sophisticated data analytics can reveal patterns among large groups and smaller subgroups.

He asked the Justices to recognize that the Court is actually the last institution capable of solving the problem before more sophisticated data analytics and increasing polarization worsen gerrymandering in the 2020 redistricting cycle.

Marketers have made staggering advances in their ability to analyse and understand what influences consumers, whether this be employing eye-tracking technology or using sophisticated data analytics to monitor real time consumer preferences.

Early players which are software-based rather than device-driven have alreadevice-driven havealreadystribuiltn channels as well as highly sophisticated data analytics.

"By combining cutting-edge technology with our own proprietary credit models and sophisticated data analytics, we deliver a better deal for small businesses and investors around the world.

Opower, founded in 2007, took that customer education to a new level by combining sophisticated data analytics with behavior-modification techniques based on the pioneering work of social psychologist Dr. Robert Cialdini.

More than 50 years ago, Dr. Sidney Garfield, the founder of TPMG and its Division of Research (DOR), recognized the potential to combine the power of information technology, even in its earliest iterations, with clinical care and sophisticated data analytics.

Sophisticated data analytics, focused on parameters such as location, demographics, and time, can boost the value of those datasets to a variety of companies in a range of industries.

This equates to user experience management, coupled with the sophisticated data analytics and tech – both the IOT hardware and the software that brings it to life and makes it useful - which will allow these learnings to be implemented.