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Use advanced process mining techniques to uncover the root cause of problems, find irregularities in process flow, and identify inefficiencies.
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Transforming Six-Sigma with Process IntelligenceSix-Sigma pertains to a group of analytical methods that companies across industries leverage to eliminate defects in their products and processes. The core crux of this methodology is simple- every step in a business process that helps deliver a product or service is also an opportunity to introduce a defect and the methodology focuses on reducing the variation in the processes that lead to these defects.
Considering that Six-Sigma is all about improving process quality, and is a methodology designed around business processes, there is a big opportunity to leverage process intelligence to further enable Six-Sigma methodologies. This article explores how process intelligence tools can help organizations build robust Six-Sigma capabilities.
Process-oriented ERP implementation with Signavio Process Manager and SAP® Solution Manager 7.2Signavio Process Manager offers integration with SAP® Solution Manager 7.2, empowering slick collaboration between business and IT. This white paper explains how customers can employ Signavio Process Manager with SAP® Solution Manager 7.2 to facilitate business user involvement in the requirements specification, and documentation process of SAP® solutions. Find other insightful content from Signavio on their Vendor […]
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Understanding Agent Based ModelingAgent based modeling is a relatively more recent method that originated in the early 2000s. Some of the key drivers behind agent-based modeling coming into the picture were advances in technology and computing power since agent-based models are much more demanding in terms of system capability requirements, the proliferation of computer science techniques like object-oriented modeling, UML, and state charts, and the need to develop models for systems that we were not able to capture with traditional simulation modeling approaches of system dynamics modeling and discrete event modeling. Agent-based modeling primarily leverages the behavior of each individual in the system to model the system. So essentially, this is a method of building a model from the bottom up. You identify all the different objects or agents and start defining their behaviors. Eventually, during that process, you would also start connecting those agents through their interactions and relationships. Finally, you would put them into similar environments within which they have their dynamics. All these come together to create the system's global behavior or the model of the entire system. Often there may be hundreds or thousands and, in some cases, even millions of individual agents that need to be incorporated to develop the model of the entire system.
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Why TechWave Believes Industry-Specific AI Will Define the Next Phase of SAP InnovationAs SAP pushes deeper into embedded, process-aware AI, services partners increasingly position industry context as the differentiator between interesting copilots and measurable business outcomes. TechWave, a global IT services and solutions partner with SAP expertise, argues that the next phase of SAP innovation will be shaped less by generic generative AI and more by industry-specific […]
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