Examples of using Data-driven in English and their translations into Slovenian
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Programming
We are a data-driven society.
How do business become data-driven?
We are a data-driven company.
So how does a company become data-driven?
Design a data-driven testing framework in Selenium.
Do work hard to become a data-driven organization.
Applying a data-driven approach to the collection process.
I think it all starts with a data-driven culture.
Considers that a data-driven economy is key to economic growth;
Open and non-discriminatory markets in a data-driven economy.
Each data-driven model is specific to each advertiser.
How to become a data-driven company?
I do believe 2017 willbe the year small businesses become data-driven.
The importance of data-driven decisions→.
Our data-driven services offer customers unrivaled value-added in the rail sector.
Supercomputing is the basis of data-driven economy 183.
This article explains data-driven attribution, including the requirements for using it.
Open and non-discriminatory markets in a data-driven economy.
Follow the instructions below to set Data-driven attribution as the attribution model for an existing conversion action:.
We will build a scalable strategy, backed up with a data-driven smart DRT.
The Programme should aim at stimulating the development of data-driven business, as it will be decisive for the position of the Union economy in a global competition.
Business analytics is used by companies committed to data-driven decision-making.
This Communication responds by sketching the features of the data-driven economy of the future and setting out some operational conclusions to support and accelerate the transition towards it.
Keeping markets open and non-discriminatory to foster a data-driven economy.
We see a great perspective for data-driven“Development as a service”.
Spatial andgeolocation data is a particularly valuable element of the data-driven economy.
The ICT platform supports effectively data-driven and agile policy making.
Computerised methods andmachine applications will play a major role in data-driven science.
Interpretation of spectra can be data-driven using machine learning.