# What is Data Processing?

It is the process of collecting raw data and converting it into meaningful and usable information.

## Overview
Tons of raw data are produced in the world every moment. This data does not mean anything on its own. Data processing allows us to obtain actionable results by filtering, organizing, and analyzing this chaos.

*Analogy: It is like washing, sorting, and chopping freshly harvested vegetables from the field to make them ready for cooking.*

## How it works
Data is first collected, erroneous parts are cleaned, classified, and finally converted into a readable output such as a report or graph.

## Where it is used
It is used in every field where data exists, such as finance, healthcare, artificial intelligence training, and marketing.

## Commonly confused with
It is confused with data analysis; data processing is the preparation stage, while analysis is interpreting the results.

## Frequently asked questions
**Why is data processing important?**
Unprocessed data is noise, while processed data is a strategic asset.

**Is it done automatically?**
It is usually fully automated using data pipelines.


## Related terms
- [Data Pipeline](/en/dictionary/data-pipeline/)
- [BI](/en/dictionary/bi/)
- [Knowledge Graph](/en/dictionary/knowledge-graph/)

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Source: TreScout Dictionary · https://trescout.com/en/dictionary/data-processing/