Questions a A. Let's say you work in a metropolitan city for a large department store chain and your manager puts you in charge of a team to find out whether keeping the store open an hour longer each day would increase profits. What data might be available to your decision- making process? What data would be important to your decision? B. What kinds of data might we want in OB applications? As Braverman notes, one problem with big data is making sense of the information. How might a better understanding of OB help you sift through all this data