Consider the dataset that you created last week. Review the variables/data through the lens of the readings provided in chapters 6 & 7 – particularly the concept of the “want versus should selves.”
Discuss the process by which you decided upon the variables to include in your dataset. Do the variables  represent data points that you “want” to analyze or know more about? Or……does your dataset actually have information that the firm “should” be reviewing? In other words, were the variables that you selected influenced by your own internal bias/conflict between what you “want” to see/analyze, versus what you “should” be measuring? Did you select variables that were “conventional?” Organizations often analyze “conventional” data metrics because these represent the industry norm, as opposed to what they actually “should” be measuring in alignment with their specific mission. Ironically, “conventional” data is often the most “convenient” – thus the same root.