apply data

USAGE SUMMARY

The phrase "apply data" is correct and usable in written English.
You can use it when referring to the act of utilizing or implementing data in a specific context, such as analysis or decision-making. Example: "To improve our marketing strategy, we need to apply data from recent customer surveys."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

48 human-written examples

And EPDS, which oversees how European institutions apply data rules and provides global vision and intellectual leadership on this subject, is an apt steward.

The Guardian - Tech

But a recent Deloitte study for the Government suggests that over half of civil and public servants "did not know how to access datasets, how to interpret them or best apply data standards".

The Guardian

Open-source tools are cheaper, faster and more powerful, and they let companies apply data in unheard-of ways.

TechCrunch

There's a petition up on PublikDemand asking Comcast to either apply data caps equally or stop using them.

TechCrunch

In designing this algorithm we apply data compression to the linear and the bilinear forms that appear on the method.

Applied Mathematics and Computation

Taking advantage of the detailed Danish registers, we apply data on individual patient level on all Danish diabetes patients [41].

Health Economics Review

Human-verified similar examples from authoritative sources

Similar Expressions

12 human-written examples

Specifically, we apply data-flow analysis to extract the semantic flow of the registers as well as the semantic components of the control flow graph, which are then synthesized into a novel representation called the semantic flow graph (SFG).

Digital Investigation

The startup, previously known as Kovert Designs, is not talking too publicly about the full scope of its plans, but Unsworth says the vision is to apply data-analysis to "brain activity and psychology to try to understand how people are feeling — and as a result of that the types of products that we can build to help them feel better".

TechCrunch

The company's flagship product — Visitor Cloud — works by creating detailed profiles for each visitor to an ecommerce property so that the business can then apply "data-driven" personalizations to optimize sales, based on analyzing their interactions to identify patterns of buying behavior.

TechCrunch

Subsequently, one can apply data-driven transformations on the document.

GigaScience

Ben Slater is the sales and marketing director at Seed.Jobs, a company that applies data science and marketing technology to recruitment.

The Guardian

Expert writing Tips

Best practice

When writing about data-driven strategies, use "apply data" to emphasize the practical implementation of data insights. This shows a clear connection between data and action.

Common error

Avoid claiming that simply to "apply data" guarantees success. Instead, focus on how the specific application of data contributes to a particular goal, acknowledging potential limitations and uncertainties.

Linguistic Context

The primary grammatical function of "apply data" is as a verb phrase, where "apply" is the verb and "data" is the direct object. It describes the action of using data for a specific purpose, as confirmed by Ludwig and various examples provided.

Expression frequency: Common

Frequent in

Science

42%

News & Media

38%

Formal & Business

20%

Less common in

Encyclopedias

0%

Wiki

0%

Reference

0%

Ludwig's WRAP-UP

In summary, "apply data" is a versatile phrase used to describe the action of using data for a specific purpose. Ludwig's analysis confirms that the phrase is grammatically correct and commonly used across various contexts, particularly in science, news media, and formal business settings. To enhance your writing, remember to use "apply data" when emphasizing the practical implementation of data insights. Steer clear of overstating data's impact by focusing on specific contributions and acknowledging limitations. Consider alternatives like "utilize data" or "implement data" for nuanced expression. The phrase is understood and accepted in professional, neutral and scientific context.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

utilize data

Focuses on the practical use of data.

implement data

Emphasizes the process of putting data into effect.

employ data

Highlights the use of data as a means to an end.

leverage data

Suggests using data to gain an advantage or improve outcomes.

use data

A more general term for making data functional.

process data

Focuses on manipulating the data to make it usable.

analyze data

Highlights the examination and interpretation of data.

work with data

Implies a hands-on approach to manipulating data.

data application

Nominal form; refers to the act of applying data.

exploit data

Conveys a more aggressive or strategic use of data.

FAQs

How can I /s/implement+data instead of "apply data"?

Instead of "apply data", consider using phrases such as "implement data", "utilize data", or "employ data" to add nuance to your writing.

What does it mean to "apply data" in data science?

In data science, to "apply data" typically means to use data and analytical techniques to solve a specific problem, make predictions, or gain insights. It involves using statistical methods, algorithms, and data visualization tools to extract value from raw data.

Which is the correct, "apply data" or "applying data"?

Both "apply data" and "applying data" are correct, but they serve different grammatical roles. "Apply data" is an infinitive phrase, often used to express a purpose or action. "Applying data" is a gerund phrase, functioning as a noun and often used as a subject or object in a sentence.

What's the difference between "apply data" and "analyze data"?

"Apply data" refers to using data to perform a task or solve a problem, while "analyze data" refers to examining data to understand patterns, trends, and relationships. Applying data often follows analyzing it.