more granular data

USAGE SUMMARY

The phrase "more granular data" is correct and usable in written English.
It can be used when discussing data that is detailed or broken down into finer levels of detail, often in contexts like data analysis or research. Example: "To improve our marketing strategy, we need to analyze more granular data about customer preferences and behaviors."

✓ Grammatically correct

News & Media

Science

Academia

Human-verified examples from authoritative sources

Exact Expressions

35 human-written examples

To reach any definitive conclusions, however, it would be helpful to have more granular data.

The New Yorker

They can also miss the big picture in their pursuit of ever more granular data.

The Economist

Sadly, the US Census Bureau is terminating its Statistical Compendia programme, so America may never get more granular data.

The Guardian

The detailed knowledge being gathered about influenza is already impressive but any prediction of transmission events will require even more granular data.

The Guardian

As more and more granular data is released about tiny geographies, by making it personal, we can bring it to life.

The Guardian

But according to Karl Rove, who presumably had access to more granular data, among voters who decided in the final twenty-four hours the numbers were reversed: Romney won by eight points.

The New Yorker

Human-verified similar examples from authoritative sources

Similar Expressions

25 human-written examples

"Only if they give their consent will more granular information be sent to the data communications company".

BBC

As expected, not all controversies could be fully addressed, and the need for a prospective data set containing more granular information was felt early on.

European Journal of Cancer, Supplement

The new service, called Uber Movement, is essentially a dashboard through which users can interact with anonymized trip data in aggregate, allowing researchers to study both broad traffic patterns and more granular neighborhood data on an hourly basis throughout the day.

Huffington Post

Smart building automation systems capture even more granular sensor data on the way people actually use interior spaces — and the combination of that data and the growth of the sharing economy can support new leasing models.

Harvard Business Review

He noted that the school takes the over-and-above step of posting more granular salary data on its Web site.

The New York Times

Expert writing Tips

Best practice

When aiming for clarity, use "more granular data" to signal a need for data broken down into smaller, more manageable units. This is especially useful in analytical reports or research papers.

Common error

Avoid assuming that "more granular data" automatically means more accurate data. Granularity refers to the level of detail, while accuracy refers to the correctness of the data. Ensure the data is both detailed and validated for reliable insights.

Linguistic Context

The phrase "more granular data" functions as a noun phrase, where "more granular" modifies the noun "data". As Ludwig AI confirms, it's grammatically correct and widely used to describe a need for data at a finer level of detail.

Expression frequency: Common

Frequent in

News & Media

36%

Science

32%

Academia

14%

Less common in

Formal & Business

10%

Reference

4%

Social Media

4%

Ludwig's WRAP-UP

In summary, "more granular data" is a grammatically correct and commonly used phrase to describe the need for data that is broken down into finer levels of detail. As Ludwig AI confirms, it is applicable across various contexts, including news, science, and academia. When using this phrase, remember that granularity refers to the level of detail, not necessarily the accuracy, and that careful analysis is crucial to derive meaningful insights. Consider alternatives like "more detailed data" or "more specific data" depending on the intended nuance.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

more detailed information

Replaces "data" with "information" and "granular" with "detailed", emphasizing the level of specificity.

finer-grained data

Uses "finer-grained" as a synonym for "more granular", stressing the level of detail.

more specific data

Substitutes "granular" with "specific", highlighting the targeted nature of the data.

more fine-tuned data

Emphasizes the precision and refinement of the data being discussed.

higher resolution data

Draws an analogy to image resolution, indicating greater clarity and detail.

more minute data

Uses "minute" to underscore the small scale and detail of the data.

more itemized data

Highlights the breakdown of data into individual items or components.

more segmented data

Focuses on the division of data into distinct segments or categories.

more stratified data

Indicates data organized into layers or levels for detailed analysis.

more dissected data

Suggests a thorough examination and separation of data into its constituent parts.

FAQs

How can I use "more granular data" in a sentence?

You can use "more granular data" to describe the need for data that is more detailed or broken down into smaller segments, such as, "To understand customer behavior, we need to analyze "more granular data" on their purchasing habits".

What is an alternative to saying "more granular data"?

Alternatives include "more detailed data", "more specific data", or "finer-grained data", depending on the specific nuance you want to convey.

When is it appropriate to ask for "more granular data"?

It's appropriate when you need a deeper understanding of a subject and the existing data aggregates are too broad. For instance, if regional sales figures don't reveal which specific areas are underperforming, you might request "more granular data" broken down by city or store.

Does "more granular data" always lead to better insights?

Not necessarily. While "more granular data" can provide a more detailed view, it can also lead to information overload or the identification of spurious correlations if not analyzed carefully. Data quality and appropriate analytical methods are crucial.