data analytics

USAGE SUMMARY

"data analytics" is correct and usable in written English.
You can use the term to describe the use of technology to extract insights from a collection of data. For example, "Data analytics can help a company identify cost savings opportunities."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

53 human-written examples

Data analytics It is, indeed, big data analytics (BDA).

Complex & Intelligent Systems

"Data analytics" begins with a brief introduction to the data analytics, and then "Big data analytics" will turn to the discussion of big data analytics as well as state-of-the-art data analytics algorithms and frameworks.

Journal of Big Data

Data analytics, maths and computer engineering was one reply.

The Guardian

At Amazon, "personalization" meant data analytics and statistical probability.

The New Yorker

Data analytics is the predecessor to Big Data.

The New York Times

Why do you think investment in big data analytics is increasing?

The Guardian

Human-verified similar examples from authoritative sources

Similar Expressions

7 human-written examples

Volunteers included an analyst at Teradata, a data-analytics firm.

The Economist

It was Bannon who urged the Mercers to invest in a data-analytics firm.

The New Yorker

She has a particular interest in financial services, data & analytics, healthcare and gaming, across all stages.

The Guardian

We introduced Big Data analytics to enhance data processing speed.

Future Generation Computer Systems

His research interests include Database Engineering and Big Data analytics.

Journal of Big Data

Expert writing Tips

Best practice

Use "data analytics" to demonstrate how insights derived from data can lead to informed decision-making and strategic advantages.

Common error

Avoid using "data analytics" as a vague term. Always specify the context, methods, and goals of the analysis to ensure clarity and relevance.

Linguistic Context

The phrase "data analytics" functions primarily as a noun phrase, often serving as the subject or object of a sentence. As seen in the Ludwig examples, it describes the process or methodology of analyzing data to extract meaningful insights. Ludwig AI confirms it is correct and usable.

Expression frequency: Very common

Frequent in

Science

38%

News & Media

30%

Formal & Business

15%

Less common in

Encyclopedias

0%

Wiki

0%

Social Media

0%

Ludwig's WRAP-UP

In summary, "data analytics" is a widely used and grammatically correct term that describes the process of extracting insights from data using various analytical techniques. Ludwig AI confirms its usability in English writing. It is most commonly found in science, news & media, and formal & business contexts, indicating its relevance across diverse fields. When using this term, be specific about the type of data, analytical methods, and objectives to ensure clarity and impact. Remember to differentiate "data analytics" from related terms like "data analysis" and "big data analytics" to maintain precision in your writing.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

data analysis

Focuses on the process of examining data, similar to "data analytics" but may imply less emphasis on technology.

big data analysis

Specifically refers to analyzing extremely large datasets.

business intelligence

Emphasizes the application of data analysis to business decision-making.

statistical analysis

Highlights the use of statistical methods in analyzing data.

predictive analytics

Focuses specifically on using data to predict future outcomes.

data mining

Refers to the process of discovering patterns in large datasets.

information management

Encompasses broader strategies for organizing and utilizing data assets.

knowledge discovery

Highlights the goal of extracting new knowledge from data.

statistical modeling

Emphasizes the creation of statistical models to represent data.

machine learning

Focuses on algorithms that allow computers to learn from data without explicit programming.

FAQs

How is "data analytics" used in business?

"Data analytics" is used to improve decision-making, understand customer behavior, optimize marketing campaigns, and streamline operations.

What's the difference between "data analytics" and "data analysis"?

While often used interchangeably, "data analytics" typically implies a broader, more technology-driven approach, while "data analysis" can refer to more general methods of examining data.

What skills are needed for a career in "data analytics"?

Essential skills include statistical analysis, programming (e.g., Python, R), database management, and data visualization. Strong communication skills are also crucial.

How does "big data analytics" differ from traditional "data analytics"?

Big data analytics deals with extremely large and complex datasets that require specialized tools and techniques for processing and analysis, while traditional "data analytics" may work with smaller, more manageable datasets.