Decision modeling is the proven requirements approach that bridges the gap – between business process and business rules and predictive analytics technologies – for truly digital processes.
Today organizations use a variety of techniques to accurately describe the requirements for an information system.
Most systems involve some workflow and this is increasingly described by business analysts in terms of business process models. Experience shows that when process modeling techniques are applied to describe decision-making, the resulting process models are over complex. Decision-making modeled as business process is messy and hard to maintain. In addition, local exceptions and other decision-making details can quickly overwhelm process models. All this has to be sorted out during development, creating delays and additional costs.
By identifying and modeling decisions separately from the business process, these decision-making details no longer clutter up the process. This makes business processes simpler and makes it easier to make changes.
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