Utilizing the concepts mentioned in the reading and interviews - and thinking back through your professional and/or every-day experiences - discuss three examples of times where you have witnessed people or organizations make decisions that were "masquerading" as data-driven. In your discussion, address: What problem was the decision meant to address? What data was available to the decision maker that s/he could have considered, or claimed to be considering, in making the decision? What factors do you believe were really driving the decision? How did the decision turn out? How might it have turned out differently if the decision maker had actually taken a data-driven approach, as opposed to "masquerading" the decision as data-driven