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34 Cards in this Set

  • Front
  • Back
3 levels that must be supported by info technology
strategic, tactical, and operational mangmetn
information quality
time, content, form....providing meaningful and useful information
decision structure
structured, semi-structured, unstructured
business intelligence
tools by suppliers, customers, and other business stakeholders of a company for customer relationship mangement
decision supports systems
semi-structured - analytical tools, specialized databases, decision makers own insights and judgements, interactive computer based modeling
model bases
software component that consists of models used in computational and analytical routines
4 reporting alternaives
1. perodic scheduling reports
2. exception reports
3. demand reports and responses
4. push reporting
online analytical processing OLAP
managers and analysits to interactivley examine and manipulate large amounts of detailed and consolidated data from many perspective
geogrpahic IS
geographic database to constuct and display maps and other graphic displays
data visualization systems
3-D models of information
what-if-analysis
like in excel
analytical modeling
using a decision support system uses interactive analytical modeling
sensitivity analysis
repeated small changes to what if analysis
goal-seeking analysis
reverses the direction of the analysis done in a what if analysis
optimization analysis
complex extension of goal-seeking analysis...find the optimal value for one or more target variables, given certain constraints
data mining
looking at trends
executive information systems EIS
information systems that combine many features of management IS and decision support systems
enterprise information portal
web based integration of MIS, DSS, EIS and others that gives all intranet ussers
knowledge management systems
use on info technology to help gather, organize, and share business knowledge within an org.
enterprise knowledge portals
entry to corporate intranets that serve as the knowledge management systems
artificial intelligence
based on computer science, biology, psychology, lingustics
knowledge base
facts about the subject area and rule of thumb that expresses the reasoning procedures of an expert
inference engine
processes the knowledge related to a specific problem
knowledge engineer
professional who works with experts to capture the knowledge (facts and rules of thumb) they possess
neutral networks
interconnected processors in a neural network modeled after human brain
genetic algortims
used in AI and uses darwinism, randomizing, and other math functions to simulate evolutionary process
virtual reality
you know
intelligent agents
way to use AI routines in software to help users accomplish many kinds of tasks in e-business and e-commerce...software surogate for an end-user or a process that fullfilsl the state need
robotics
ai, engineering, physiology
expert systems
knowledge-based information system that uses its knowledge about a specfic, complex application area to act as a expert consultant
robotics
ai, engineering, physiology
expert systems
widley used for AI ; knowledge-based information system that uses its knowledge about a specfic, complex application area to act as a expert consultant
expert system shell
easy way to develop expert system which is software package consisting of an expert system without its knowledge base
fuzzy logic
represent a small but serious application of AI in business...allows for incomplete and ambiguous data