"transform data into" is a correct and usable phrase in written English.
You could use it to describe a process of turning data into useful information. For example, "We are using machine learning algorithms to transform data into actionable insights".
Through innovative software and services, SAS empowers and inspires customers around the world to transform data into intelligence.
In the inspirational masterclass that follows the talk, graphic designer Laura Knight will lead a workshop on how to transform data into engaging graphics and imagery.
7.00pm-8.20pm: Masterclass in data visualisation: Learn how to transform data into beautiful infographics with Tobias Sturt, creative director of Graphic, an agency specialising in data visualisation, and a Guardian Masterclass tutor.
Whereas Google and others could provide large amounts of searchable, nonproprietary data, the financial technology company was better positioned to provide proprietary algorithms that would transform data into meaningful metrics and graphs.
Using a data integration framework as a blueprint, you can transform data into consistent, quality, timely information for your business people to use in measuring, monitoring, and managing the enterprise.
Utility companies must be capable of high-volume, high-speed data management and advanced analytics which are designed to transform data into actionable insights, if they strive to successfully implement a modern smart grid.
On the other hand, the subspace feature selection, also called transform-based feature selection, reduces data dimensionality by transforming data into a low-dimensional subspace induced by a linear or nonlinear transformation.
M3 can generalize any linear classifier to nonlinear by transforming data into some low-dimensional feature space explicitly.
During my Media Lab year, I based my project on the mission of Collective Learning: improve learning by transforming data into stories.
Specifically, this paper classifies the urban data use cases into four reference models and identifies six challenges in transforming data into information for smart cities.
But, differences aside, both sustainability and credit ratings can and should play a vital role in transforming data into decision-relevant insights that affect everything from brand reputation to asset allocation and cost of capital.
