Sentence examples for analytics using data from inspiring English sources

We saw the rise of predictive analytics, using data like blood pressure and glucose monitoring, genomics and monitoring skin temperature to predict health problems.

So last summer, we commissioned a study by the political research firm Pantheon Analytics, using data from Colorado's 2014 election for more than 2.8 million registered voters.

The findings presented in this paper have been derived from an analysis of a case study, i.e., analytics using data made available by the OECD.

Interestingly, this is also the direction the accounting and finance world is moving in terms of analytics, using data to help make better decisions.

"To win at digital you have to win at analytics, using data to design new products and improving forecasts to make them more scientific". The bank uses data and analytics for day-to-day decision making and to improve personalization.

In this regard, the author shares the opinion of Lazer et al. [28] when they consider that "instead of focusing on a 'big data revolution', perhaps it is time we were focused on an 'all data revolution', where we recognize that the critical change in the world has been innovative analytics, using data from all traditional and new sources, and providing a deeper, clearer understanding of our world".

You'll learn how predictive analytics use data and statistical algorithms to identify the likelihood of future outcomes based on historical data.

Real-time analytics uses data science to evaluate data for trends and patterns in order to make future predictions, which is critical in responding to current market conditions.

Predictive analytics uses data to establish the best approaches to current medical problems and identify opportunities to intervene today to avoid problems in the future.

By contrast, predictive analytics uses data patterns to make forward-looking predictions that guide you to where you should go next.

Data science involves analytics for using data to understand the past and present, to analyze past performance, and for using optimization and/or prediction techniques.