BUS-K 201 Lecture Notes - Lecture 9: Data Warehouse, Data Mining, Cluster Analysis
Document Summary
Data from resources is analyzed in the system to help companies make decisions: operation data, social data, purchased data, employee knowledge. Data goes to a bi application: software component of system. Knowledge workers: employees that utilize intelligence to make decisions. Become informed: browns bu results to learn about the industry/company. Decision making: determine what products/services to suggest for cross-selling. Problem solving: which variables lead to decrease in revenues. Project management: support projects by leveraging bi to do all of the above. Facility for managing an organizations bi data: obtain data, cleanse data, organize and release data, catalog data. Problems with operation data (why not just analyze operational data from the source) Security and control concerns: error in analysis could shut down operations. Missing values: data not required for operations. Nonintegrated data: nothing from erp, crm, or other systems. Wrong granularity: too fine or not fine enough data. Too much data: too many attributes and/or data points.
