Your response should build upon the response of others. Some of the questions are designed to solicit your personal viewpoint and others are modeled to develop critical thinking. Use this as an opportunity to assert your stance on how you would personally approach the issue at hand and, although this is a graded component, have fun with it. If you disagree with someone's response, feel free to say that but make sure you substantiate your reasons why. Consequently, if you agree with someone's response, you also need to identify reasons why. post 1: Secondary data have been called the first line of attack for business researchers. Discuss this description. No resources needed (100 words needed) Secondary data is data that has been previously collected for a different purpose than the one being reviewed at the time. However, despite it being used for a different purpose, it still is an excellent source for making determinations on specific situations. The statement that secondary data is the first line of attack for business researchers is accurate and valid as it is cost effective and gives the researchers a good preview of what can be expected in a certain market. Sometimes, this data is not in a form that is not optimal for usage, but a good researcher could transform the data and help achieve the stated research. Post 2 Suppose you are a business research consultant, and a client comes to your office and says, “I must have the latest information on the supply of and demand for Maine potatoes within the next 24 hours. “What would you do?” No resources needed (100 words needed) Since the request is needed in a short timeline, I would review secondary data, being research already conducted, for the demand of Maine potatoes. With the information gathered, I would ask if the data were applicable to the current project. I would raise the following questions, “Does the data help to answer the request?”, “Do other terms and variable classifications presented apply to the current project?”, “Are the units of measurement comparable?”. After this, I would review if the cost of data acquisition affordable, if the data were biased, if the data collected could be verified. If all these steps could be taken and the answer is yes, then I would use the data accumulated and present it to the client. If the answers would be no, I would look for other data sources.
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