MIS Exam #2 prep

MIS Exam #2 Study Guidelines Note: Develop your responses to the questions below. Expect a similar mix of questions as exam #1. For essay questions, better grades are given for more in-depth and thoughtful responses. One or two sentence responses rarely earn high grades. Also seek to write with specificity (as opposed to generalities). Also mix in vocabulary to add context. Review the vocabulary to prepare for MCQ questions. When you see questions that read ____ for your career or job , choose an entry-level position and state it. For example, As a staff accountant, As a marketing analyst, As an operations manager, as a financial analyst, as a business analyst, as a _____. Please be sure to state the specific job, as your written response should match the specific career. Please do not be vague about these questions. Chapter 7 1. Describe four cognitive biases that are likely to negatively influence your career , and your plan to combat these. 2. Understand chapter glossary and the additional terms dimension, measure, metric, granularity, hierarchy, cardinality 3. What dimensions, measures, and metrics were common in your last (or next) job ? 4. Discuss the main purposes of a professional business intelligence system and employees. 5. Give an example of a descriptive business intelligence project that would prepare you for the job you want after graduation. 6. Discuss five KPI metrics that are important in your intended career . 7. What are some metrics, analysis, and managerial decision-making that are used at each level of the management structure ( operational, tactical, strategic ). 8. What are some routine monthly reports that are common in your field of study (your major or intended career ?) 9. What are the sources of data for business intelligence reports? 10. Describe the ETL process 11. Other than the databases that store the transaction processing, what are some data sources that need to be ingested into the data warehouse during ETL? 12. Describe and provide an example of descriptive, predictive, and prescriptive analytics . 13. What is a data cube? Give an example. 14. What is data mining? Give an example. 15. What is market-basket analysis, how would this analysis compare in a specialty retail store vs. a big box retail (i.e. Walmart) vs. grocery store? 16. Give an example of what-if analysis and the report that can be generated. 17. What are some reasons that AI and data mining are useful for business? 18. What can an expert system do for a manufacturer that uses many machines for production. 19. Discuss the website metrics that an online vacation trip retailer would use? 20. When making charts for presentations to management, what are some guidelines? (pg. 223) Chapter 8 1. How are discussion forums useful to build brand awareness, market research, and customer loyalty? 2. Compare the era of using managerial ‘war rooms’ vs. online meetings with analysts & managers in different locations? 3. What is your opinion of using web conferencing to connect virtual work teams? 4. Give your thoughts on which communication technologies and scenarios (adding in the old-fashioned approaches of the coffee-machine/kitchen room, and 15-minute coffee break) that you will probably use in your career as a __________ (ie staff accountant, operations manager, etc.) 5. As a manager give your perspective on making virtual teams work . Include your opinion on surveillance software.