data-heavy

USAGE SUMMARY

The phrase "data-heavy" is correct and usable in written English.
It is typically used to describe something that contains a large amount of data or requires significant data processing, often in contexts like technology, research, or analytics. Example: "The report was quite data-heavy, making it challenging to extract key insights without proper analysis."

✓ Grammatically correct

News & Media

Tech

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Those data-heavy medical images are shuttled over the Internet.

The New York Times - Tech

Anyway, I now return to my data-heavy usual self.

The New York Times

It runs games, image editing software and data-heavy Evernote notes without issue.

The Guardian - Tech

The extra power is only noticeable when loading data-heavy apps.

The Guardian - Tech

Rather, I reckon we're going to move towards a more data-heavy diet.

The Guardian - Lifestyle

Verdict Steinberg is a much better writer, unless you want 20 data-heavy articles in 10 minutes.

The Guardian - Tech

It will be medium-sized, data-heavy tech companies that don't have the resources to react to this decision".

The Guardian

EMC's products include the hardware and software that store information for data-heavy companies like airlines, banks and insurance companies.

The New York Times

Are both efforts science — one a data-heavy reality check and the other freewheeling speculation?

The New York Times - Science

BGI is starting a journal, GigaScience, to publish data-heavy life science papers.

The New York Times

Nate Silver's accurate forecasting of Obama's election victory last year brought him acclaim, and it also highlighted the importance of statistical literacy in our data-heavy age.

The Guardian

Expert writing Tips

Best practice

Use "data-heavy" when you want to emphasize the significant amount of data involved in a process, analysis, or application. For example, "data-heavy applications" or "data-heavy analysis".

Common error

Avoid using "data-heavy" when you mean something is "data-driven". "Data-heavy" describes the volume of data, while "data-driven" describes a process or decision-making approach guided by data.

Linguistic Context

The phrase "data-heavy" functions primarily as a modifier, specifically an adjective. It describes nouns by indicating that they involve or contain a large amount of data. As Ludwig AI confirms, it is grammatically correct.

Expression frequency: Very common

Frequent in

News & Media

45%

Tech

35%

Science

10%

Less common in

Formal & Business

5%

Encyclopedias

3%

Wiki

2%

Ludwig's WRAP-UP

The phrase "data-heavy" is a grammatically sound and frequently used adjective to describe something involving a substantial amount of data. As confirmed by Ludwig AI, its function is to characterize nouns by emphasizing their significant data component. Predominantly found in neutral contexts such as news, tech, and scientific articles, the phrase effectively communicates scale, complexity, and resource requirements. While alternatives like "data-intensive" and "data-rich" exist, "data-heavy" retains its value in directly highlighting the sheer volume of data. It's crucial to differentiate it from "data-driven", which describes a process or decision-making approach guided by data. Overall, "data-heavy" is a valuable term for effectively conveying the magnitude of data involved in various applications and analyses.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

data-intensive

Focuses on the processing aspect more than just the quantity of data.

data-rich

Emphasizes the abundance and value of the data.

high-volume data

Highlights the large quantity of data involved.

large dataset

Refers specifically to a structured collection of data.

data-laden

Implies that something is heavily burdened or filled with data.

information-heavy

Broader term encompassing various forms of information, not just structured data.

complex data

Highlights the intricacy and difficulty in handling the data.

extensive data

Stresses the vastness and comprehensiveness of the data.

data-driven

Highlights the use of data to inform decisions and strategies.

statistically significant

Focuses on the statistical relevance and reliability of the data.

FAQs

How can I use "data-heavy" in a sentence?

You can use "data-heavy" to describe applications, processes or documents that require a large amount of data to function or that contain a substantial amount of data. For example, "The new software is designed to handle "data-heavy" tasks" or "The report was "data-heavy" and difficult to summarize quickly".

What are some alternatives to "data-heavy"?

Depending on the context, you can use alternatives such as "data-intensive", "data-rich", or "high-volume data".

Is "data-heavy" the same as "data-driven"?

No, "data-heavy" and "data-driven" have different meanings. "Data-heavy" describes something that involves a large amount of data, while "data-driven" describes something that is influenced or determined by data.

Which is more appropriate: "data-heavy" or "data intensive"?

Both phrases are valid, but "data-intensive" is often used to emphasize the processing or computational demands of working with large amounts of data. "Data-heavy" simply highlights the large amount of data involved.