MIS 302F Study Guide - Final Guide: Walmart, Intellectual Capital, Business Intelligence

• School: UT-Austin
• Department: Management Information Systems
• Course: MIS 302F
• Professor: J Tuttle

Document Summary

It is structured for fast online queries and exploration. Mart shares data with them: reporting system- Increase company organizational responsiveness: problems with operational data, data is dirty, data is missing values, data is in too many places, data is in legacy systems, too much data. In association rule method, how do you calculate confidence and lift: ex. Best buy: confidence level of high end pc. = bought tv & pc/just tv: 400/650=61. 53% Lift ratio for high end pc + tv. Household income of family vs. square footage of house. What is data a bank would use to determine if the bank is going to give you the loan: (see slide) Cross-selling: data mining helps uncover non-intuitive patterns. Jobs assigned to personnel: construction phase, build, coding, production/implementation, pilot, reduce exposure risk, (cid:862)dad (cid:373)o(cid:448)es i(cid:374) alo(cid:374)e(cid:863, phased, system installed in phases, tested after each phase, (cid:862)whole fa(cid:373)il(cid:455) (cid:373)o(cid:448)es i(cid:374), (cid:271)ut o(cid:374)l(cid:455) to kit(cid:272)he(cid:374) a(cid:374)d li(cid:448)i(cid:374)g roo(cid:373)(cid:863)