In the context of information systems, what does 'data handling' typically involve?

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In the context of information systems, 'data handling' primarily involves processing data to derive meaningful information. This step is crucial as it transforms raw data into a structured format that can be analyzed and interpreted. Through processing, data can be sorted, filtered, and analyzed, which allows organizations to obtain insights that inform decision-making, improve efficiency, and enhance operational strategies.

Processing is a key component of the data lifecycle, which begins with data collection and ultimately leads to the generation of reports or other outputs. While collecting, storing, and distributing data are all important aspects of managing information, the essence of 'data handling' is found in the transformation of data into valuable information that can be utilized effectively. This role is vital for ensuring that stakeholders receive actionable insights rather than just raw data.

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