Every year, hurricanes attack Florida affecting the life and money of the company and its workers. People can ask themselves, "How can I prevent this from happening again?" This is usually a question asked by companies and people affected by hurricanes. How is the hospital? How do hospitals react to hurricanes? Even more complicated is how the hospital reacts to hurricanes when the hospital is open 24 hours.
The whole conversation about data analysis is terrible for you. However, it is not usually as bad as people think. Data collection is one thing, and data analysis is another thing. You need to do it at the same time. If you want to make your products and services successful on the market, please do not ignore it. If you think that you are not analyzing data, please delegate the work to another person. There are even companies that have many excellent researchers and who want to do this work for you. Depending on the amount of data and the industry, it may be a bit expensive, but it is worth a try.
Perform data analysis within the case. Data analysis can follow data collection or overlap. The advantage of duplicate data collection and analysis is to coordinate the data collection process based on topics that appear in data analysis, or to examine these topics in more detail. Data analysis is done in two stages. In the first stage (in-case analysis), researchers need to investigate the emergency concept of each case site and the patterns between these concepts to generate an initial theory of the problem problem. Researchers can "feel" research questions by subjectively interviewing the data and combining personal observations or experiences of her case at the scene. Alternatively, evolution chains and techniques can be acquired using techniques such as open coding, axial coding, and selective coding using coding strategies such as the Glasser and Strauss (1967) grounded approach.
Social science research: principle, method and practice Anol Bhattacherjee University of South Florida, abhatt @ usf.edu