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 is predictive analytics in simple words?

Predictive analytics is **a way to predict future events based on past behavior**. It’s a combination of statistics and data mining; Tools from both areas are applied to existing large data sets to: Identify patterns and trends. Build models to predict what might happen in the future.

## What is predictive analytics and how does it work?

Predictive analytics is the **process of using data analytics to make predictions based on data**. This process uses data along with analysis, statistics, and machine learning techniques to create a predictive model for forecasting future events.

## How do you explain 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 predictive analytics tools?

**Here are eight predictive analytics tools worth considering as you begin your selection process:**

- IBM SPSS Statistics. You really can’t go wrong with IBM’s predictive analytics tool. …
- SAS Advanced Analytics. …
- SAP Predictive Analytics. …
- TIBCO Statistica. …
- H2O. …
- Oracle DataScience. …
- Q Research. …
- Information Builders WEBFocus.

## How does Netflix use predictive analytics?

Netflix collects several data points to create a detailed profile on its subscribers. … To collect all this data and harness it into meaningful information, Netflix requires data analytics. For example, Netflix uses what is known as the recommendation algorithm to **suggest TV shows and movies based** on user’s preferences.

## What are the three pillars of predictive analytics?

To relieve frustration and deliver a better analytics solution and experience for the organization, data and business analysts must focus on strengthening the three pillars of data analytics: **agility, performance, and speed**.