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Data processing consists of collection, compilation, and arranging and reaching to a result after studying the data thoroughly. It may sound simple but each and every process in data processing is very tedious and complicated. People have to be very accurate and very hard-working to perform data processing properly. Collection: 1) The first and foremost process is to prepare or collect data from the net or any other reliable source 2) The customer profile should match with the information to be collected 3) A questionnaire is prepared with only the needful information. Callers don't like to fill lengthy questionnaires. 4) Call centres appoint a certain set of executives with good communication skills to deal with customers. These customers are given the questionnaire physically or asked a few questions telephonically. 5) Telephones are attached with computers so that the data collected is fed into the chart simultaneously. Compilation: 1) Raw data is collected and fed into the different sections as per client specifications. The crude data is arranged properly to compile in particular format 2) This data is compiled in the prescribed format prepared by call center experts and analysts. Analysis: 1) The compiled data is presented to the group of analysts who work upon it. These analysts work upon it on, based on past experiences, their knowledge and capability of understanding the data. 2) Data analysis is very crucial for call center because the whole process of data processing is based upon this result. Data is analyzed by specialists in call centers who have enough knowledge to draw proper conclusions from the prescribed data. 3) BPOs work day and night to reach to a conclusion and present the results to clients. Data processing is done through highly skilled people who have thorough knowledge and enough experience to infer the right results. Call centers also take care that the results are submitted well within time to meet client-expectations.
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