Development and maturity stages of a DSS system, are the following:

• Initially, certain critical business processes are selected to be monitored vis-?-vis their performance
• a data quality mechanism is developed. In order to produce quality information, quality input data are needed.
• A data warehouse which can produce multidimensional views of the selec
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  Development and maturity stages of a DSS system, are the following:
  • Initially, certain critical business processes are selected to be monitored vis-?-vis their performance
  • a data quality mechanism is developed. In order to produce quality information, quality input data are needed.
  • A data warehouse which can produce multidimensional views of the sele
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    tain critical business processes are selected to be monitored vis-?-vis their performance
  • a data quality mechanism is developed. In order to produce quality information, quality input data are needed.
  • A data warehouse which can produce multidimensional views of the sele
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    li>a data quality mechanism is developed. In order to produce quality information, quality input data are needed.
  • A data warehouse which can produce multidimensional views of the sele
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    data are needed.
  • A data warehouse which can produce multidimensional views of the selected business processes, is implemented
  • Standard business process performance reports, are developed
  • Tools for the analysis of multidimensional data (OLAP tools) and the ad-hoc analysis of data, are used
  • Predictive models on areas of interest are developed
  If a Business aims at developing predictive capability to support the evaluation of future