BUS 237 Chapter Notes - Chapter 8: Olap Cube, Online Transaction Processing, Online Analytical Processing

• School: Simon Fraser University
• Department: Business Administration
• Course: BUS 237
• Professor: Peter Tingling

Document Summary

Intelligence: case, carrie"s clothing: which machine to buy, sports looking to statistics for signing/roster decisions, about how data-mining is almost always tough from bad data, decisions, challenges a. i. Bounded rationality: limits to how rational the human brain can be. Choose the most reasonable and available solution rather than the perfect one. a. ii. With too many options, one cannot be expected to make perfect decisions even with perfect data. a. iii. Bad decisions are from a lack of relevant information. a. iii. 1. With millions of results they are useless if not sorted. a. iv. Managers don"t know what data they need for the decision, and the tendency is to ask for too much information overload. a. v. Dirty data: 300 given as age, etc a. v. 2. Data that has changed but not been updated in the entire database a. v. 4. Data is not integrated: data is in different sources, or is incompatible for intended purpose. Hockey data: cannot compare stats from before they were collected. a. v. 5.