We can rely on various agencies around us for expert data processing services. This expertise remains one of the top reasons we outsource data processing services to such firms. Don’t feel there is a need to outsource data processing works to an outside agency? Then you will know that provision of data processing services will involve a few processing operations. However, how the processing operations are applied will vary depending on the data processing method used. This blog will look at some processing operations used while performing data processing.
Recording is the first processing operation done as a part of data processing services. It helps us transfer the required data in the form of intermediate facts and figures derived from calculations into some documents. For example, suppose you have spoken to the agencies to which you outsource data processing works; you will see that gross pay is an intermediate value we record for further application.
Most of the time, recording is done by us manually. Therefore, any information entered manually can have some inaccuracies in them. The process of verification helps us identify such errors and ensure accuracy. Cross-checking typed reports are one of the most straightforward examples to help us understand the verification concept.
Duplicating is essential in some situations. It helps us copy data into the required form of documents. We can do it while manually recording data or using a suitable machine.
As you can make out from the name, this operation lets us separate the data into different categories. Here we group data with similar features into a single category.
This process helps us arrange the classified data in the required order to enable easy processing.
Here, we alter the available data using mathematical formulae and operations. For example, it helps us calculate the employees’ monthly income and other related information.
- Summarizing And Reporting
This operation helps condense the data to enable easy understanding. Finally, we can represent the conclusions drawn after outlining the available data in simple formats.
During this operation, more than two data sets use the same key and then combine to form a single data set.
We then save the merged data for future reference via manual and electronic. For example, electromagnetic methods like ledger books, punched cards, magnetic tape, etc.
This operation helps us get back the stored data.
If you wish to compare the goals set and the output, feedback is an operation that can help you with it.