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 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

• Processes to extract data from operational systems, mature and become more automated
• Additional business processes are selected to be monitored. The data warehouse is extended with facts on the additional business processes
• New ways to analyze and drill down on the enriched data
• New reports which combine data from different process areas (drill across mechanism) are developed
• Quality of predictive models (the ability to produce a sufficient level of prediction) is evaluated based on th
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  produce quality information, quality input 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

• Processes to extract data from operational systems, mature and become more automated
• Additional business processes are selected to be monitored. The data warehouse is extended with facts on the additional business processes
• New ways to analyze and drill down on the enriched data
• New reports which combine data from different process areas (drill across mechanism) are developed
• Quality of predictive models (the ability to produce a sufficient level of prediction) is evaluated based on t
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  s of data, are used
• Predictive models on areas of interest are developed

• Processes to extract data from operational systems, mature and become more automated
• Additional business processes are selected to be monitored. The data warehouse is extended with facts on the additional business processes
• New ways to analyze and drill down on the enriched data
• New reports which combine data from different process areas (drill across mechanism) are developed
• Quality of predictive models (the ability to produce a sufficient level of prediction) is evaluated based on t
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  operational systems. All DSS functionality categories are developed and matured, as the Business evaluates the benefit derived of each investment:
  • Processes to extract data from operational systems, mature and become more automated
  • Additional business processes are selected to be monitored. The data warehouse is extended with facts on the additional business processes
  • New ways to analyze and drill down on the enriched data
  • New reports which combine data from different process areas (drill across mechanism) are developed
  • Quality of predictive models (the ability to produce a sufficient level of prediction) is evaluated based on t
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    with facts on the additional business processes
  • New ways to analyze and drill down on the enriched data
  • New reports which combine data from different process areas (drill across mechanism) are developed
  • Quality of predictive models (the ability to produce a sufficient level of prediction) is evaluated based on the business results. Models are improved based on the feedback received.
  • Predictive capability on new business areas is developed
  At the same time, a new culture on information quality and information driven decision making, is cultivated. The Business is gradually deriving more value from the DSS system, given that:
  • quality of data stored in the data warehouse is gradually improving
  • larger subject areas are supported by the DSS
  • a higher number of Users is accessing and using the information which is produced
  • information is gradually perceived as more reliable and a single version of truth is gradually achieved
  Copyright 2006 – Kostis Panayotakis