## What is meant by predictive analytics?

Predictive analytics is the use of data, statistical algorithms and machine learning techniques to identify the likelihood of future outcomes based on historical data.

The goal is to go beyond knowing what has happened to providing a best assessment of what will happen in the future..

## What are examples of predictive analytics?

Examples of Predictive AnalyticsRetail. Probably the largest sector to use predictive analytics, retail is always looking to improve its sales position and forge better relations with customers. … Health. … Sports. … Weather. … Insurance/Risk Assessment. … Financial modeling. … Energy. … Social Media Analysis.More items…•

## What are the types of predictive models?

Types of predictive modelsForecast models. A forecast model is one of the most common predictive analytics models. … Classification models. … Outliers Models. … Time series model. … Clustering Model. … The need for massive training datasets. … Properly categorising data.

## What are predictive analytics tools?

Predictive analytics software uses existing data to identify trends and best practices for any industry. Marketing departments can use this software to identify emerging customer bases….SAS Advanced AnalyticsVisual graphics.Automatic process map.Embeddable code.Automatic and time-based rules.

## What are methods of predictive analytics?

Predictive analytics statistical techniques include data modeling, machine learning, AI, deep learning algorithms and data mining. Often the unknown event of interest is in the future, but predictive analytics can be applied to any type of unknown whether it be in the past, present or future.