leveraging big data

USAGE SUMMARY

The phrase "leveraging big data" is correct and usable in written English.
It can be used when discussing the utilization of large datasets to gain insights, improve decision-making, or enhance business strategies. Example: "Companies are increasingly focusing on leveraging big data to understand consumer behavior and optimize their marketing efforts."

✓ Grammatically correct

News & Media

Academia

Science

Human-verified examples from authoritative sources

Exact Expressions

27 human-written examples

Major industries from retail to aeronautics are leveraging big data.

Harvard Business Review

His focal areas of study are knowledge representation and personalized supports leveraging big data in education.

University of California, Berkeley

The role, which the company describes as "leveraging big data and advanced analytics to improve the core business," is a new one in the construction industry.

MIT Technology Review

Register for Spring 2018! "Leveraging Big Data and Analytics to Drive Business Disruption" Scott Friend of Bain Capital Ventures, and executives from Jet.com, Rent the Runway and Persado, discussed building successful analytics-based businesses.

Columbia University

It will still be possible to differentiate on price, but that will largely be based on revamping sales, marketing, and distribution processes leveraging big data and analytics factors beyond the bill of materials.

MIT Technology Review

Duke researchers are leveraging Big Data to transform medicine.

Duke University

Human-verified similar examples from authoritative sources

Similar Expressions

33 human-written examples

For legacy firms, building a data-driven culture that leverages Big Data and AI capabilities represents both an opportunity as well as a challenge.

Forbes

Leading the tech candidates was Timothy Hwang, who cofounded FiscalNote, a legal search engine that leverages big data analytics to predict outcomes of elections and the flow of legislation across the country.

Forbes

It also leverages big data analytics to fill in holes in the wider graph of users — effectively working out ways of using one person's social graph to fill in the graph of a contact.

TechCrunch

We introduce a cloud-based architecture that leverages big-data technology to support performance analysis on any business domain, in a timely manner and regardless of the underlying concerns of the operational systems.

Telematics and Informatics

Here are three ways small businesses can leverage big data.

The New York Times

Expert writing Tips

Best practice

Combine "leveraging big data" with specific analytical techniques or tools for a more concrete and impactful statement. For example: "Leveraging big data with machine learning algorithms..."

Common error

Avoid exaggerating the immediate benefits of "leveraging big data". Data analysis takes time, and results might not always be instantly apparent. Acknowledge the iterative nature of the process.

Linguistic Context

The phrase "leveraging big data" functions as a verbal phrase acting as a gerund or participle, often used to describe an action being taken to utilize data for a specific purpose. Ludwig provides numerous examples showcasing this function.

Expression frequency: Common

Frequent in

News & Media

40%

Academia

30%

Formal & Business

15%

Less common in

Science

10%

Encyclopedias

3%

Wiki

2%

Ludwig's WRAP-UP

In summary, "leveraging big data" is a grammatically sound phrase used to describe the strategic use of large datasets for specific goals. As Ludwig AI confirms, the phrase is correct and commonly used across various sectors, including news, academia, and business. While alternatives like "utilizing extensive data" or "capitalizing on big data" exist, "leveraging big data" specifically implies a strategic advantage. It's important to clearly define the expected benefits and avoid overstating immediate impacts when using this phrase. Remember that while the phrase is used across sectors, it is best suited for professional and formal settings.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

utilizing extensive data

Replaces "leveraging" with "utilizing", emphasizing the act of using the data.

capitalizing on big data

Focuses on the benefit derived from using big data.

harnessing big data

Emphasizes controlling and directing the power of big data.

employing big data analytics

Highlights the use of analytical techniques on big data.

exploiting large datasets

Indicates using large datasets to one's advantage, which can have a more aggressive connotation.

applying big data resources

Focuses on the practical application of big data.

making use of big data

A more straightforward way of expressing the use of big data.

extracting value from big data

Emphasizes the process of gaining value from the data.

deriving insights from big data

Focuses on gaining understanding and knowledge from big data.

mining big data for information

Highlights the extraction of specific information from big data.

FAQs

How can I effectively use "leveraging big data" in a sentence?

To effectively use "leveraging big data", ensure the context clearly indicates the goal or benefit derived from using large datasets. For instance, "Companies are "leveraging big data" to improve customer experience and optimize marketing campaigns".

What are some alternatives to "leveraging big data"?

Alternatives to "leveraging big data" include "utilizing extensive data", "capitalizing on big data", or "harnessing big data", depending on the specific nuance you wish to convey.

Is it always necessary to specify the method when discussing "leveraging big data"?

While not always necessary, specifying the method used when "leveraging big data", such as machine learning or predictive analytics, can add clarity and demonstrate a deeper understanding of the process.

What's the difference between "leveraging big data" and simply "using big data"?

"Leveraging big data" implies a strategic and purposeful use of the data to gain a competitive advantage or achieve a specific goal, whereas simply "using big data" may refer to a more general or exploratory application.