MIS 301 Study Guide - Midterm Guide: Hypertext Transfer Protocol, Local Area Network, Domain Name System

• School: UT-Austin
• Department: Management Information Systems
• Course: MIS 301
• Professor: Shu He

Document Summary

Class 11-13: the data asset: databases, business intelligence and competitive advantage . Analytics-or the scienceof analysis, is a termdescribing the extensiveuse of data, statisticaland quantitative analysis,explanatory andpredictive models, andfact-based managementto drive decisions andactions. It is the continuous, iterative exploration and investigation of past business performance to gain insight and drive business planning. Business intelligence (bi)- business intelligence systems use datacreated by other systems to providereporting and analysis for organizationaldecision making: provide informationfor improvingdecision making, primary systems: Confidence-likelihoodthat a person buyingproduct a will alsobuy product b. Data mining- a type of bi system that uses sophisticated statistical tecniques to find petterns and relationships. It improves decisions by discovering patterns and relationships in data to predict future outcomes. Non-trivial discovery of novel,valid, comprehensibleand potentially useful patternsfrom data. Database-a self-describing collection of related tables. collection of tables relationships among rows in those tables special data called metadata. Database normalization-the activity of streamlining a database design by eliminating redundancies and repeated values.