predictive analysis

USAGE SUMMARY

'predictive analysis' is a correct and usable phrase in written English.
You can use it when you want to refer to the process of analyzing data to identify patterns and trends, which can be used to anticipate future events or behaviours. For example: "By using predictive analysis, our team was able to accurately predict next quarter's sales figures."

✓ Grammatically correct

News & Media

Academia

Science

Human-verified examples from authoritative sources

Exact Expressions

54 human-written examples

If you've ever used a credit card, your purchasing history is now part of someone's predictive analysis.

Forbes

Machine learning and predictive analysis tools are used to give a prediction of the "bullishness" of a particular market, accurate to 61% so far for the next 7 days.

The Guardian - Tech

The application of propensity modeling in areas relating to the prediction of behavioral patterns of existing and potential customers is referred to as predictive analysis.

Forbes

Predictive analysis tools and signal-to-noise detection.

The Guardian - Tech

These predictive analysis techniques are the focus of this course.

Columbia University

Bos, J. W., Lauter, K. & Naehrig, M. Private predictive analysis on encrypted medical data.

Nature

"The world is going to more predictive analysis," he said.

The New York Times

Human-verified similar examples from authoritative sources

Similar Expressions

4 human-written examples

The researchers have also tested a predictive-analysis system, which considers the last word mouthed to help determine the next.

MIT Technology Review

Brett Goldstein maps out Chicago's crime-ridden spots with his predictive-analysis system.

University of Chicago

That allows MoviePass to sell studios info about trends, do predictive analysis on which movies will perform well, and push movies to its subscriber base.

Vice

Data was analysed using Predictive Analysis Software 19.

EJNMMI Research

Expert writing Tips

Best practice

In reports, use "predictive analysis" to support strategic recommendations, demonstrating how insights from the analysis inform decision-making.

Common error

Avoid presenting "predictive analysis" results as certainties. Always acknowledge the inherent uncertainties and potential limitations of the models used.

Linguistic Context

The phrase "predictive analysis" functions primarily as a noun phrase. It represents a specific type of analytical method used to forecast future events or behaviors. Ludwig AI validates its correctness as a standard English phrase.

Expression frequency: Very common

Frequent in

News & Media

31%

Academia

22%

Science

25%

Less common in

Formal & Business

15%

Reference

3%

Encyclopedias

4%

Ludwig's WRAP-UP

The phrase "predictive analysis" is a correct and frequently used noun phrase that describes a method of forecasting future events based on current and historical data. As noted by Ludwig AI, this term is well-established and widely understood. It is most commonly found in News & Media, Academia, and Scientific contexts, reflecting its broad applicability. When using "predictive analysis", it's important to clearly state the data sources and methods used to maintain credibility. Remember to avoid overstating the accuracy of predictions and acknowledge any limitations. Alternatives like "statistical forecasting" or "trend analysis" can be used to add variety to your writing.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

statistical forecasting

Focuses specifically on using statistical methods to predict future outcomes.

forecasting analytics

Emphasizes the analytical aspect of predicting future trends.

data-driven prediction

Highlights the reliance on data for making predictions.

trend analysis

Concentrates on identifying and analyzing trends to inform predictions.

future modeling

Implies the creation of models to simulate and predict future events.

prognostic assessment

A more formal and clinical term for predicting outcomes, often in health contexts.

anticipatory analytics

Highlights the proactive nature of using analytics to anticipate future needs or problems.

inferential prediction

Focuses on making predictions based on inferences drawn from available data.

prescriptive analytics

Goes beyond prediction to suggest actions to take based on the predicted outcomes.

pattern recognition

Refers to identifying patterns in data which then can be used for predictions.

FAQs

How is "predictive analysis" used in business?

In business, "predictive analysis" helps forecast sales, identify potential customer churn, and optimize marketing campaigns. It leverages historical data to predict future trends and behaviors, enabling proactive decision-making.

What's the role of machine learning in "predictive analysis"?

Machine learning algorithms are frequently used in "predictive analysis" to automatically learn from data and improve prediction accuracy over time. They can handle complex datasets and uncover patterns that traditional statistical methods might miss.

How does "predictive analysis" differ from regular data analysis?

While both involve analyzing data, "predictive analysis" focuses specifically on forecasting future outcomes based on historical data. Regular data analysis is more about understanding past and present trends.

What are some alternatives to "predictive analysis"?

You can use alternatives like "statistical forecasting", "forecasting analytics", or "trend analysis" depending on the context.