predictive analytics

USAGE SUMMARY

"predictive analytics" is a correct and usable phrase in written English.
It refers to the use of data and predictive modeling to identify and anticipate trends and customer behavior. For example: "By using predictive analytics, the company was able to accurately predict customer buying patterns and optimize their marketing campaigns."

✓ Grammatically correct

News & Media

Science

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

58 human-written examples

Prediction #3: Predictive analytics goes mainstream.

Forbes

Predictive analytics is the new buzz phrase.

The Guardian

The predictive analytics are yet to come.

The New York Times

Predictive analytics, data science, artificial intelligence, bots.

Harvard Business Review

Replicate their judgment with predictive analytics.

Harvard Business Review

Cut through complexity with predictive analytics.

Harvard Business Review

Predictive analytics increase the accuracy of diagnoses.

Massachusetts Institute of Technology

Are Predictive Analytics Transforming Your Supply Chain?

Massachusetts Institute of Technology

Is there no way to apply predictive analytics more broadly?

Harvard Business Review

Human-verified similar examples from authoritative sources

Similar Expressions

2 human-written examples

The Power of non-Predictive Analytics!

Forbes

Predictive Analytics Software.

International Journal of Emergency Medicine

Expert writing Tips

Best practice

When discussing "predictive analytics", provide specific examples of how it is applied within your context to enhance clarity and demonstrate its practical value.

Common error

Avoid claiming that "predictive analytics" provides absolute certainty in forecasts. Instead, emphasize that it offers probabilities and insights that aid decision-making, acknowledging the inherent uncertainties involved.

Linguistic Context

Predictive analytics functions as a noun phrase often used as an object or subject in sentences. It denotes the application of statistical techniques and machine learning algorithms to forecast future events or behaviors. As confirmed by Ludwig AI, the phrase is considered grammatically correct.

Expression frequency: Very common

Frequent in

News & Media

37%

Science

32%

Formal & Business

31%

Less common in

Academia

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, "predictive analytics" is a widely used and grammatically sound phrase that refers to the practice of using data, statistical algorithms, and machine learning techniques to identify future outcomes based on historical data. Ludwig AI confirms its validity and common usage. It's very common across News & Media, Science, and Formal & Business contexts. When using this term, it's important to offer specific examples to showcase its practical application and to avoid overstating the certainty of its predictions. Related phrases include "forecasting analytics" and "trend analysis". Key is to remember that the focus should always be on offering data-driven insights rather than absolute guarantees.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

forecasting analytics

Emphasizes the forecasting aspect of predictive analytics.

predictive modeling

Focuses on the creation of models to predict future outcomes.

trend analysis

Highlights the analysis of trends to make predictions.

data-driven forecasting

Combines data analysis with forecasting techniques.

advanced statistical analysis

Specifies the type of analysis used in predictive methods.

future-oriented analytics

Stresses the focus on future predictions.

prognostic analytics

Uses 'prognostic' to indicate forecasting potential outcomes.

prescriptive analytics

Focuses on recommending actions based on predictions, a step beyond prediction itself.

algorithmic forecasting

Highlights the use of algorithms in predictive analytics.

prospective data analysis

Emphasizes examining data to look ahead and anticipate future trends or events.

FAQs

How is "predictive analytics" used in business?

In business, "predictive analytics" is used to forecast sales, optimize marketing campaigns, manage inventory, and reduce risk. It helps in making informed decisions based on data-driven insights.

What's the difference between "predictive analytics" and descriptive analytics?

Descriptive analytics focuses on what has happened in the past, while "predictive analytics" uses historical data to forecast future outcomes. Descriptive analytics summarizes past data, whereas predictive analytics anticipates future trends.

What are some alternatives to using the phrase "predictive analytics"?

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

How does machine learning relate to "predictive analytics"?

Machine learning is a key component of "predictive analytics". Algorithms learn from data to identify patterns and make predictions. Machine learning models are often used in predictive analytics to improve accuracy and efficiency.