Data Processing

Input DP OutputIntroduction

Data is an integral part of all business processes. It is the invisible backbone that supports all the operations and activities within a business. Without access to relevant data, businesses would get completely paralyzed. This is because quality data helps formulate effective business strategies and fruitful business decisions.

Therefore, the Quality of Data should be maintained in good condition in order to facilitate smooth business proceedings. In order to enhance business proceedings, data should be made available in all possible forms in order to increase the accessibility of the same.

Data Processing Service refers to the process of converting data from one format to another. It transforms Plain Data (Raw Material) into valuable information (output). Clients can supply data in a variety of forms, be it PDF Files, Image Files, Hand-Written or Printed Material. Data Processing Services take the Raw Data and Process it accordingly to produce sensible information. The various applications of data processing can convert raw data into useful information that can be used further for business processes.

Companies and Organizations across the world make use of Data Processing Services in order to facilitate their market research and analysis process. Data consists of facts and figures, based on which important conclusions can be drawn. When companies and organizations have access to useful information, they can utilize it for strategizing powerful business moves that would eventually increase the company revenue and decrease the operational costs, thus expanding the profit margins. Data Processing ensures that the data is presented in a clean and systematic manner and is easy to understand and be used for further purposes.

Steps in Data Processing

Step 1: Data Editing

There is a big difference between data and useful data. While there are huge volumes of data available on the Internet, useful data has to be extracted from the huge volumes of the same. Extracting relevant data is one of the core procedures of data processing. When data has been accumulated from various sources, it is edited in order to discard the inappropriate data and retain relevant data.

Step 2: Data CodingData Processing Stages

Even after the editing process, the available data is not in any specific order. To make it more sensible and usable for further use, it needs to be aligned into a particular system. The method of coding ensures just that and arranges data in a comprehendible format.

Step 3: Data Entry

After the data has been properly arranged and coded, it is entered into the software that performs the eventual cross tabulation. Data Entry Professionals can do this task efficiently.

Step 4: Data Validation

After the cleansing phase comes the validation process. Data validation refers to the process of thoroughly checking the collected data to ensure optimal quality levels. All the accumulated data is double checked in order to ensure that it contains no inconsistencies and is utterly relevant.

Step 5: Data Tabulation

This is the final step in data processing. The final product i.e. the data is tabulated and arranged in a systematic format so that the user can further analyze it. All these processes make up the complete data processing activity that ensures the said data is available for access.


Data Processing Workflow

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