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Process models are typically rendered using one of two standardized styles of graphical business process notation: Business Process Modeling Notation (BPMN) - also called Business Process Model and Notation - or Unified Modeling Language (UML).A model could even help the company pinpoint the exact stage at which these drop-offs occur. For example, by creating a model of its new account creation process, a software company might discover that a significant number of customers are abandoning the sign-up process because it takes too long. Because process models are based on quantitative data, they offer genuinely objective views of workflows as they exist in practice, including key data, metrics or events that may have otherwise gone unnoticed.Rather, they are produced by data-mining algorithms that use the data contained within event logs to construct models of the workflows as they exist. Success and failure rates of the process.Timelines of the overall process and each step in the process.
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If an organization wants research and development (R&D) investments to produce sufficient returns, IT issues resolved with minimal downtime or a highly accurate lead qualification workflow, it needs to understand these processes on an objective and comprehensive level. However, when they need to ensure that those processes consistently drive optimal outcomes, “a pretty good idea” isn’t enough. Most enterprises have a pretty good idea of the various business processes powering their daily operations. Business process modeling gives organizations a simple way to understand and optimize workflows by creating data-driven visual representations of key business processes.
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