State the data processing cycle.

The data processing cycle, also known as the information processing cycle, is a series of steps that are followed in the processing of data to convert it into useful information. The cycle consists of the following steps:

1. Data collection: The first step in the data processing cycle is to collect data from various sources, such as sensors, databases, or manual entry. This data can be in various formats, such as text, numbers, images, or audio.
2. Data preparation: Once the data is collected, it needs to be cleaned, formatted, and organized to make it suitable for processing. This step may involve removing duplicate or irrelevant data, converting data into a common format, and verifying the accuracy of the data.
3. Data input: After the data has been prepared, it is input into a computer system for processing. This can be done through manual data entry or automated data transfer.
4. Data processing: Once the data is input into the system, it is processed using various techniques such as sorting, filtering, summarizing, or analyzing. The purpose of data processing is to extract useful information from the data.
5. Data output: After processing, the information is presented in a useful format, such as a report, chart, or graph. The output can be in various forms, such as printed reports, electronic files, or visual displays.
6. Data storage: Once the data has been processed and output, it is stored for future use. This can be done in various ways, such as in a database, on a hard drive, or in the cloud.
7. Data retrieval: When the information is needed again, it can be retrieved from storage and used for further analysis or decision-making.

These steps may be repeated multiple times to refine the data and improve the accuracy and usefulness of the information. The data processing cycle is a continuous process that is essential for converting raw data into useful information for decision-making and other purposes.