The data processing cycle includes 6 steps. Data processing is the process of collection and management of things into useful and meaningful data. Thus treated data comes in the form of tables, charts, diagrams, and reports. Data processing becomes a significant place in business and data processing converts information in a highly understandable way. There are sophisticated methods and tools for data processing services.



Steps involving data processing cycle are:


It is the very first step in data processing. Data collection is the difficult and most necessary and on which the result depends. The accuracy and validity of the obtained data and assure the obtained data are well defined for the whole process is by the collection stage.  The data collection methods include surveys, census, etc.


The ordering and filtering of data are done through this stage. In this stage, all the unwanted and less important data are removed and making it into final input. This step limits the data with crucial information.


In this third stage, the prepared data is verified and converted into a computer-readable format for easy processing. The data entered through input devices such as the keyboard, scanner or another source. This is a time-consuming procedure and it needs accuracy and speed in its work. The processed data should be rigid and formal hence a lot of processing time and powers needed for this step. So every firm opted for outsourcing services for this particular step.


The data in this stage subject to an automated and mechanical mode of processing. The process is based on various threads of execution that turn into an instruction based system. The complex nature and the bulk quantity of data make the process into a lengthy one. This type of preparation helps to make the data process faster.

Outlet and Interpretation

The processed data delivered to the needy customers is this step included. Data are distributed in the form of printed, audio, video and scanned reports.


The last step of data processing is the storage of well-processed data for further purposes.  The highlight of this stage is that it allows easy access and recovery to the users for effective decision making.