Data processing in simplest way, we can draw like this; DATA --> Processing on Data --> Converted to Information.
As we have seen above, data processing means a process of converting data into information. This processing is done through computers which accept raw data as input and provide information as output.
Data processing is very much helpful to most of the financial institutions, universities, publishing companies, different hospitals, oil and transportation organizations and pharmaceutical organizations. There are various kinds of data processing services are available in the market. Check processing, image processing, form processing, survey processing are some of them.
Data Processing Steps:
Collecting - First step is to collect the raw data which you want to process. From which data do you want information? This is first question before you start.
Sorting - Relevance of data is very important while processing the data. There are various irrelevant data which decrease the perfection of the information. So from the bunch of collected data, sorting is needed to get relevant output information. Data must be in proper categorization.
Bucketing - It is similar to 'netting' or 'coding'. This step involves aligning the random data in particular structure. When data collected and sorted, it was not aligned properly. Random data can create problem while processing the data. Bucketing helps you to have the process smoothly.
Entering Data - If system is not having any data, what it process!! To process data, there must be data for the software. Entering organized data in to the software is required to get processed information at the end of whole process.
Cleansing - This step increase the quality of the processed data. In this step, quality controller validates the data. Data is double-checked to secure the faultless data processing. This cleansing helps you to process the data very efficiently and quickly.
Proper Formatting - Last but most important step to end the process very effectively is proper formatting. Without proper formatting, there is no meaning of data processing. Proper formatting is very much helpful to understand the data very easily and conclude the decision quickly.
Most of the well-known companies are following above mention steps to satisfy the clients' needs
As we have seen above, data processing means a process of converting data into information. This processing is done through computers which accept raw data as input and provide information as output.
Data processing is very much helpful to most of the financial institutions, universities, publishing companies, different hospitals, oil and transportation organizations and pharmaceutical organizations. There are various kinds of data processing services are available in the market. Check processing, image processing, form processing, survey processing are some of them.
Data Processing Steps:
Collecting - First step is to collect the raw data which you want to process. From which data do you want information? This is first question before you start.
Sorting - Relevance of data is very important while processing the data. There are various irrelevant data which decrease the perfection of the information. So from the bunch of collected data, sorting is needed to get relevant output information. Data must be in proper categorization.
Bucketing - It is similar to 'netting' or 'coding'. This step involves aligning the random data in particular structure. When data collected and sorted, it was not aligned properly. Random data can create problem while processing the data. Bucketing helps you to have the process smoothly.
Entering Data - If system is not having any data, what it process!! To process data, there must be data for the software. Entering organized data in to the software is required to get processed information at the end of whole process.
Cleansing - This step increase the quality of the processed data. In this step, quality controller validates the data. Data is double-checked to secure the faultless data processing. This cleansing helps you to process the data very efficiently and quickly.
Proper Formatting - Last but most important step to end the process very effectively is proper formatting. Without proper formatting, there is no meaning of data processing. Proper formatting is very much helpful to understand the data very easily and conclude the decision quickly.
Most of the well-known companies are following above mention steps to satisfy the clients' needs
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