Descriptive and predictive analytics

Descriptive analytics tells what happened in your business in the past week, month or year, presenting it as numbers and visuals in reports and dashboards. Diagnostic analytics gives the reason why something happened. Predictive analytics determines the potential outcomes of present and past actions and trends.

1. What is the difference between descriptive and predictive analytics?
2. What are descriptive predictive and prescriptive analytics?
3. What is descriptive and predictive data?
4. What is the difference between description and prediction?

What is the difference between descriptive and predictive 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 descriptive predictive and prescriptive analytics?

Descriptive Analytics tells you what happened in the past. Diagnostic Analytics helps you understand why something happened in the past. Predictive Analytics predicts what is most likely to happen in the future. Prescriptive Analytics recommends actions you can take to affect those outcomes.

What is descriptive and predictive data?

Descriptive Mining is frequently used to provide Correlation, Cross-Tabulation, Frequency, and other types of information. It analyses stored data to determine what happened in the past. Predictive Data Mining is the Analysis done to predict a future event or multiple data or trends.

What is the difference between description and prediction?

The descriptive analysis only responds to the situation. The predictive analysis includes control over the situation along with responding to it. It can support accurate records. It makes results does not provide accuracy.