Decision Support Systems, Part 4 - DSS Evolution

p>The evolution path of a DSS system, variesa data warehouse, just by using files or data
according to the priorities of each Business.extracted from operational systems. All DSS
Development and maturity stages of a DSSfunctionality categories are developed and
system, are the following:matured, as the Business evaluates the benefit
- Initially, certain critical business processes arederived of each investment:
selected to be monitored vis-à-vis their- Processes to extract data from operational
performancesystems, mature and become more automated
- a data quality mechanism is developed. In order- Additional business processes are selected to be
to produce quality information, quality input datamonitored. The data warehouse is extended with
are needed.facts on the additional business processes
- A data warehouse which can produce- New ways to analyze and drill down on the
multidimensional views of the selected businessenriched data
processes, is implemented- New reports which combine data from different
- Standard business process performance reports,process areas (drill across mechanism) are
are developeddeveloped
- Tools for the analysis of multidimensional data- Quality of predictive models (the ability to
(OLAP tools) and the ad-hoc analysis of data, areproduce a sufficient level of prediction) is
usedevaluated based on the business results. Models
- Predictive models on areas of interest areare improved based on the feedback received.
developed If a Business aims at developing- Predictive capability on new business areas is
predictive capability to support the evaluation ofdeveloped At the same time, a new culture on
future actions, it shall prioritize the development ofinformation quality and information driven decision
such models, even without the implementation ofmaking, is cultivated.