Managing Enterprise data
You are working for a large national supermarket chain, MacLeod’s Market, with nearly 200 stores countrywide and a history stretching back decades. MacLeod’s has multiple global supplier relationships. The chain offers a customer loyalty club and the ability to create shopping lists accessible through both a Web site and a mobile app. A recent market research study indicated customers would like to have online ordering and home delivery and more sustainable products. MacLeod’s as a whole has a lot of data but it’s not organized nor being used to make decisions on a consistent and reliable basis. It wants the ability to provide details drilled down to store, department, and even individual product level, so that each manager or supplier could see just the information relevant to him or her. It needs to know more about its customers. You are on the team in charge of making business intelligence happen. MacLeod’s has continued testing autonomous delivery vehicles and delivery drones and plans to connect with its customers’ “smart” refrigerators to offer coupons and recipe ideas. New information: Several MacLeod’s customers have signed up to be testers for the smart refrigerators initiative. Also, Kurgan’s – your biggest competitor – went through a lay-off cycle following their salmonella incident and several of their managers have been hired by MacLeod’s Market. Last, one of the delivery drones, on its maiden production delivery flight, was shot down by a neighbor who felt her privacy was being violated. The neighbor confiscated the box of wine the drone was carrying, but returned the drone parts in a box to her local MacLeod’s. The media had a field day with the happenings. Task: While another part of your team is working on data modeling and source data analysis and another wrestles with meta data repositories, you are tasked with application prototyping.
1. First, write up an interview plan for gathering requirements information from stakeholders, including information that will help with developing business and technical metadata.
2.Next, turn to application prototyping. Describe which of the six typical prototypes would be appropriate and why. What needs to go into the development of the prototype? How do you determine who will be participating in the application prototyping and beta testing?
3.Last, at what point would you incorporate meta data design? Why? What collaboration among the data modeling, source data, and meta data repository groups does the application prototyping group need to have? Things to keep in mind: for any interviewing situation make sure you address how you would know if the users you are interviewing are being honest or not. If the users are employees would you t
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Interviews are usually one of the most powerful techniques for collecting data. Most people can learn how to conduct interviews and collect the data they need. However, it is important to understand the needs of stakeholders in order to collect credible data from…
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