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Methodology

  • High level 'as-is' process studies to identify hand-offs and delays in the decision making process. Identify a target business process to be improved with better decision support systems
  • A "gap" analysis, of the desired state and the current state of process performance. Identify a "pain-gain" relationship that can be bridged by data based decision support
  • Ensure data cleanliness, comprehensives, to address the business process need
  • Develop a mathematical simulation model of the business context. Build an algorithm that can provide data based decision support, to aid, improved performance of the select business process
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