The data processing in a simpler way, we can draw like this; DATA -> Processing of data -> conversion to information.
As we saw earlier, the data processing means a process of converting data into information. This processing is done through computers that accept raw data as input and provide information as output.
The data processing is very useful for most of the institutions, universities, publishing houses, several hospitals, oil and transport organizations and pharmaceutical organizations financial. There are various types of data processing services are available on the market. Control processing, image processing, form processing, survey processing are some of them.
Data Processing Steps:
Collection - The first step is to collect the raw data that you want to process. From what data you want information? This is the first question before you start.
Sorting - relevance of the data is very important during the processing of the data. There are various data irrelevant which diminish the perfection of the information. So, from the group of the data collected, the sort order is necessary to obtain the relevant output information. The data must be in proper categorization.
bucket - And 'like' 'or' coding 'network. This phase involves the alignment of random data structure in particular. When the data collected and sorted, it is not properly aligned. random data may cause problems during data processing. Bucket helps you to have a hassle-free process.
Data entry - If the system is not having any data, what we draw !! To process the data, there must be data to the software. Inserting data organized for the software you need to get information processed at the end of the whole process.
Cleansing - This step will increase the quality of processed data. In this phase, the quality controller validates the data. Data is double check to ensure flawless processing of data. This cleansing helps you to process the data in a very efficient and quick.
proper formatting - Last, but most important step to end the process in a very effective way is correct formatting. Without the proper formatting, there is no sense of data processing. proper formatting is very useful to understand the data very easily and conclude the decision quickly.
The most well-known companies are following the steps above mention to meet customer needs.
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