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Data collection is a crucial component of any research project regardless of whether it’s for academic or business purposes. Researchers can collect information from the source and gain new insights into the subject in question. This lets them make precise analysis and draw conclusions.
The quality of the information collected is critical to success whether the objective is to solve business issues, provide research results or increase customer satisfaction. To ensure that the analysis of data is as valid as possible it is crucial that the method used to collect data corresponds to the objectives of the project.
The first step is to identify the kind of data that is required. It can be a quantitative or qualitative requirement, and the type of data collection method employed will depend on this. For instance experimental research is a quantitative method and ethnographies and interviews are qualitative approaches. Surveys, observation, and archive work are also methods that can be both quantitative or qualitative, based on the requirements of the data collection.
Once the requirements have been established, the next step is to determine the data gathering processes. This can include determining who will conduct the research and defining how the data will be gathered and how it will be handled and distributed, and when it will be collected. Magpi for instance, can assist organizations in creating a central hub which contains calendars, schedules, and project plans report and checklists. This allows managers to easily distribute and monitor the data collection process.