'data-driven methodology' is a correct and usable phrase in written English.
It can be used to refer to the use of data and analytics to inform decision-making and problem-solving. For example, "Our team is working on a data-driven methodology to improve user experience on our website."
A lot of prognostics applications are based on the data-driven methodology.
This data-driven methodology was verified and accurately estimated the capacity of Li-ion battery.
Data-driven methodology is mainly used at systems and subsystems level that experience gradual degradation.
This paper introduces a data-driven methodology to study the historical evolution of mathematical thinking and its spatial spreading.
The VRFT is a data-driven methodology that uses only data to find the parameters of the controller.
This data-driven methodology employs multiple models, one for each decision point, to capture the time-varying relationships.
Michael Wu is the Principal Scientist of Analytics at Lithium where he is currently applying data-driven methodologies to investigate and understand the complex dynamics of the social Web. .
Michael Wu is the Principal Scientist of Analytics at Lithium where he is currently applying data-driven methodologies to investigate and understand the complex dynamics of the social Web.
Data warehouse conceptual design is based on the metaphor of the cube, which can be derived from either requirement-driven or data-driven methodologies.
It could be a good solution to combine both physics-based and data-driven methodologies into one hybrid approach to gain the benefits from each and overcome its limitation.
The discussion aims to position urban data platforms as key sites for the development of new governance models for smart cities, and forums in which decision-makers, researchers, urbanists and technologists seek to test the potentials and pitfalls of data-driven methodologies in addressing a range of contemporary urban challenges.
