**The four types of data analysis are:**

- Descriptive Analysis.
- Diagnostic Analysis.
- Predictive Analysis.
- Prescriptive Analysis.

## What are the 4 types of analytics?

There are four types of analytics, Descriptive, Diagnostic, Predictive, and Prescriptive.

## What are the 4 types of business analytics?

4 Types of Business Analytics

- Descriptive Analytics.
- Diagnostic Analytics.
- Predictive Analytics.
- Prescriptive Analytics.

## Which are the 4 broad categories of analytics?

Types of Data Analytics. Data analytics is a broad field. There are four primary types of data analytics: descriptive, diagnostic, predictive and prescriptive analytics.

## What is analytics and its types?

There are four types of data analytics: Predictive (forecasting) Descriptive (business intelligence and data mining) Prescriptive (optimization and simulation) Diagnostic analytics.

## What are the 4 things data analytics framework have?

There are four types of data analytics, and the tools used to help build analysis: Descriptive analytics, Diagnostic analytics, Predictive Analytics, and Prescriptive analytics.

## What are types of analytics?

The three dominant types of analytics – Descriptive, Predictive and Prescriptive analytics, are interrelated solutions helping companies make the most out of the big data that they have. Each of these analytic types offers a different insight.

## What are the 3 types of analytics?

There are three types of analytics that businesses use to drive their decision making; descriptive analytics, which tell us what has already happened; predictive analytics, which show us what could happen, and finally, prescriptive analytics, which inform us what should happen in the future.

## What are the different stages types of analytics?

That’s why it’s important to understand the four levels of analytics: descriptive, diagnostic, predictive and prescriptive.

## What are the four primary aspects of predictive analytics?

Predictive Analytics: 4 Primary Aspects of Predictive Analytics

- Data Sourcing.
- Data Utility.
- Deep Learning, Machine Learning, and Automation.
- Objectives and Usage.

## What are the 5 types of data?

Common data types include:

- Integer.
- Floating-point number.
- Character.
- String.
- Boolean.

## How many types of data analysis are there?

The four types of data analysis are: Descriptive Analysis. Diagnostic Analysis. Predictive Analysis.

## What are the main categories of data?

The Two Main Flavors of Data: Qualitative and Quantitative At the highest level, two kinds of data exist: quantitative and qualitative. Quantitative data deals with numbers and things you can measure objectively: dimensions such as height, width, and length. Temperature and humidity.