In dieser Lektion befinden sich 11 Karteikarten

Different types of DSS.

Diese Lektion wurde von hannemac erstellt.

Lektion lernen

  • file drawer systems Systems that provide access to data items. Examples include real-time equipment monitoring, inventory recorder and monitoring systems. Simple query and reporting tools that access OLTP fall into this ...
  • data analysis systems Systems that support the manipulation of data by computerized tools trailored to a specific task and setting or by more general tools and operations. Examples include budget analysis and variance monitoring, ...
  • analysis information systems Systems that provide access to series of decision-orientated database and small models Examples include sales forecasting based on a marketing database, competitor analyses, and product planning and analysis. ...
  • accounting and financial models Models that calculate the consequenses of possible actions. Examples include estimating of profitability of a new product; analysis of operational plans using a goal-seek capability, break-even analysis, ...
  • representational models Models that estimate the consqeuences of actions of the basis of simulation models that include causal relationships and accounting definitions. Examples include a market response model, risk analysis ...
  • optimization models Models that provide guidelines for action by generating an optimal solution consistent with a series of constraints. Examples include scheduling systems, ressource allocation, and material usage optimization. ...
  • suggestion models Models that perform the logical processing leading to a specific suggested decision for a fairly structured or well-understook task. Examples include insurance renewal rate calculation, an optimal bond-bidding ...
  • data-driven DSS A data-driven DSS provides access to and manipulation of large databases of structured data and, especially, a time-series of internal company and external data. Data-driven DSS wird "On-Line Analytical ...
  • model-driven DSS Model-driven DSS emphasize access to an manipulation of a model. Model-driven DSS use data and parameters provided by decision makers to aid them in analyzing a situation, but they are not usally data ...
  • knowledge-driven DSS This systems suggest or recommend actions by manager. They use business rules and knowledge bases. These DSS are person-computer systems with spezialised problem-solving expertise. The "expertise" consists ...
  • document-driven DSS This system is envolving to help managers gather, retrieve, classify and manage unstructured documents, including Web pages. A document-driven DSS intregrates a variety of storage and processing technologies ...