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Justyna Jupowicz-Kozak quote

Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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data is valuable

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "data is valuable" is correct and usable in written English.
You can use it when discussing the importance or worth of data in various contexts, such as business, research, or technology. Example: "In today's digital age, data is valuable, as it drives decision-making and innovation across industries."

✓ Grammatically correct

News & Media

Science

Academia

Human-verified examples from authoritative sources

Exact Expressions

39 human-written examples

Personal data is valuable.

News & Media

The New York Times

"Data is valuable".

News & Media

The Guardian

Curating our data is valuable.

That's why the data is valuable.

News & Media

The Guardian

First: Facebook owns your data, and your data is valuable.

Anyone still in doubt whether user data is valuable?

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Human-verified similar examples from authoritative sources

Similar Expressions

21 human-written examples

Data are valuable: without data, we know nothing.

News & Media

The New York Times

Evidently the data was valuable in the field of biological warfare.

News & Media

The New Yorker

Embedded in these big data are valuable information and knowledge.

As Jim Gray used to say, astronomy data are valuable precisely because they have no commercial value.

"Healthcare data are valuable because medical records can be used to commit several types of fraudulent activities or identity theft.

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Expert writing Tips

Best practice

When emphasizing the financial implications of data, use "data is valuable" to highlight its potential for monetization and strategic advantage.

Common error

Avoid claiming "data is valuable" without specifying why it's valuable in the given situation. Provide context on the specific benefits or insights data offers.

Antonio Rotolo, PhD - Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

89%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "data is valuable" functions as a statement of fact or assertion. It presents data as something possessing worth or importance. Ludwig AI confirms its correctness and usability in written English. The phrase acts as a fundamental premise in arguments concerning data management and utilization.

Expression frequency: Uncommon

Frequent in

News & Media

40%

Science

30%

Academia

20%

Less common in

Formal & Business

5%

Wiki

3%

Reference

2%

Ludwig's WRAP-UP

In summary, the phrase "data is valuable" is grammatically correct and commonly used to emphasize the importance of data across various domains. Ludwig AI affirms its usability and provides relevant examples. While its register is neutral, the context in which it's used can influence its perceived formality. Related phrases such as "data holds value" and "data is an asset" offer alternative ways to express this concept. Remember to always provide context when claiming data's value and avoid generalizations. This phrase is frequently found in News & Media, Science, and Academia.

FAQs

What can I say instead of "data is valuable"?

You can use alternatives like "data holds value", "data is an asset", or "there is great value in data" depending on the context.

Why is it important to say that "data is valuable"?

Stating that "data is valuable" highlights the significance of data in decision-making, strategic planning, and innovation. It underscores the need for careful management and utilization of data resources.

How can I demonstrate that "data is valuable" in a business context?

You can demonstrate the value of data by showcasing how it leads to improved efficiency, better customer insights, increased revenue, or reduced costs. Concrete examples and metrics are essential.

Is "data is valuable" always true?

While data often holds potential value, it's important to recognize that not all data is inherently valuable. The value depends on its relevance, accuracy, and how effectively it can be analyzed and applied. You should specify why data is valuable in the context.

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Source & Trust

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Authority and reliability

4.5/5

Expert rating

Real-world application tested

Most frequent sentences: