Your data processing cycle and control methods

All organisations and businesses no matter how small or big they are have to process info. Sales data, Wages, Accounts, and Purchasing would be the four most common processing methods. They are two sorts of ways which data can be refined, Firstly is definitely can be done by paper and pen this can be called personally. This is not We good way to process data as it’s time consuming and errors can be made. Tiny corner shops can use this approach as they don’t have to process very much data.

But it really is a bad idea in the event big companies utilize this method as it would take too long as well as the chance of producing mistakes increases.

The second method is by using personal computers (electronically) the majority of businesses employ computers to process data. The main causes of this is because pcs are affordable for most businesses. And they may process data more efficiently and quickly. And so computers have got changed how businesses work as they are more reliable and they may process large amount of data within minutes.

The diagram below shows the data processing routine. The processing cycle provides 4 several stages to be able they are Collection, Input, Control and Significant output.

It works like this, the data is accumulated after it can collected will probably be inputted, then it will get highly processed and finally the data is outputted it can be outputted as significant data. The arrows together with the dashes that goes from meaningful/output to collection can also be used again for the collections. This does not happen often but it may be possible. If it would happen functions out this type of thing: Collection Type Process Meaningful Output Different stages from the cycle Collection The initial stage is the collection here all the information/data is collected.

It will gather information/data only that is necessary for the type. Input The other part of the routine is the input part. Below information/data is usually stored and it is ready to always be processed. Control The third area of the cycle is processing below all the information/data that has been received from input will be prepared and given to to output. Meaningful Output The final level is meaningful output, therefore the data which has been outputted can be used again while an suggestions for another method or you can use it again for the similar process.

I have mentioned four different stages, but they are two more important levels that come following input they are sorting and validating data. Sorting info Sorting info is not essential but it keeps the company even more organised. One example is in the payroll department the employee who since the lowest record number will probably be listed at the beginning of the repository, and the worker with the top employee amount will be outlined at the bottom from the database. This is certainly useful because if the company decide to generate any changes to the databases the data will be in the same order, which should trigger no complications in future processing.

Validation of information This process is vital because if the mistake offers accoutred somewhere else. The affirmation stage is going to pick up on this and correct it. So the learn database will probably be updated while using correct details. Let’s say a worker of the firm has worked 700 hours within a week this would be a clear mistake. This has to get corrected while the employee will receive excessively. This could cause problems for the company. Because the organization will lost working hours as the problem has to be solved. The hours that it provides lost might have been used in other places more properly. Example of data processing circuit

Background with the business The organisation that we have selected for this case in point is StayBrite Windows. The organization was founded in 1974 and its particular Europe’s No . 1 substitute window firm. They also perform conservatories, Gates and rooftop products. The business has two large making facilities in Norwich, as well as branches about the UK. I am going to use payroll as an example of your data control cycle. StayBrite employ numerous employees. First step is collecting all the information regarding the employees for example how various hours they have worked, if perhaps they did any overtime etc .

After the information has been accumulated it is then simply inputted and processed. The last stage is usually output employees will receive a wage fall were the main points will be presented such as several hours worked, pay per hour, pension plan etc . The processing method that could be applied here is group processing. How come batch control? Because the details does not must be updated generally. The company will give out legal agreements to their workers so the personnel know what several hours to function. The company has to update their particular system each time they use a new member of staff but this may not be done frequently.

You may also want to consider the following: good data processing

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