Why does research data need to be organized before it can be analyzed? What is the value of data editing (data cleaning) in marketing research?
ANSWER
Data Editing
The organization of research data is a vital step that has great significance in data analysis. As the number of files grows there is a need to keep a consistent naming structure that can be easy to track hence save help in time-saving. Data analysis is easier when files are organized in trackable form (Marshall, 2019). Organizing research data helps in preventing and reducing data loss. Data has crucial elements that can easily be forgotten if not effectively organized. With organization, all critical elements required in the analysis are grouped and kept in a traceable format that can help in creating authoritative conclusions. Organizing data assist in placing different levels of security clearance required for access. This generally ensures that the security of sensitive data is entrenched. The productivity of a data analysis team rests on the ability of the team to organize the data and make meaning of it.
Data editing is a crucial function in marketing research because of the various conveniences that it provides market researchers. Data editing increases the quality of data by separating the most important aspects from the least important aspects of the data set. The editing process increases the overall productivity of market researchers (Marshall, 2019). Data editing removes outdated and incorrect data leaving analysts with only the up-to-date and accurate data sets hence increasing the effectiveness of marketing research. Marketing research requires that the most recent data inform decisions made by marketing researchers. Errors that might exist in collected data can be removed through the data editing process. Ensuring that the information used for marketing research passes through concentrated editing ensures that marketing research saves time and money that could be used in scavenging through unessential data sets.
Reference
Marshall, B. (2019). Organizing, Describing, and Sharing Research Data.
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