Sentence examples for data needs to change from inspiring English sources

Exact(2)

It is clear to me that the way we collect communications data needs to change so law enforcement agencies can continue to do their job; to tackle serious crime and gather evidence to fight terrorism and prosecute criminals.

She added: "We have been clear that communications revolution has been rapid in this country and the way in which we collect communications data needs to change so law enforcement agencies can maintain their ability to tackle terrorism and gather evidence".

Similar(58)

What this starburst of data means is that how we think about data and technology needs to change at the most fundamental level.

The current trend of not publishing such results needs to change, as data that is 'negative for an effect' is not 'negative data'.

Neither Tuvey nor Guy Rosen, CEO and cofounder of fellow data compression app Onavo, say Apple needs to change its restrictions.

This course focuses on the step after insights have been generated from data, and asks the question: what needs to change in an organization's strategy to benefit from those insights?

The type of data tech companies report around diversity needs to change, and people are finally starting to talk about it publicly.

Problems of environmental management accounting in guiding management decisions largely relate to the unavailability and poor quality of data, the need to change information gathered by extant management control systems, and the need to introduce infrastructure for information gathering and sharing in supply chains (Kokubu and Kitada, 2015).

But I love failing, because failure was what gave us the data we needed to change the model to something that worked even better".

By going beyond "Would you buy this shirt?" and asking "How would you change this item to improve it?" retailers can gather the data they need to change an item to match the desires of their specific customer segments.

More importantly, we show that standard GPR data collection, processing and visualisation techniques can be used with both types of data without users needing to change existing operational protocols or survey criteria.

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