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Process Mining – Prerequisites and Their Applicability for Small and Medium-sized Enterprises
Published in Pedro Novo Melo, Carolina Machado, Business Intelligence and Analytics in Small and Medium Enterprises, 2019
Alexander Zeisler, Christopher Bernhard, Julian Marius Müller
A process can be defined as a “sequence of activities performed in a specific order to achieve a specific goal” (Munoz-Gama, 2016). End-to-end processes – like order-to-cash, manufacturing processes, or service processes – are integral part of industries and professional business process management is crucial for companies who want to be competitive in an ever faster and complex economic environment. Process mining is a relatively young research discipline and is bridging the gap between process science and data science, aiming to discover, monitor, and improve real processes by using data from event logs (Van der Aalst, 2016). Today, business processes are being performed with support of IT systems to varying degrees and thus, process mining is possible due to the simple fact that data already exists (Rozinat and Günther, 2014). Information about business processes is being extracted from enterprise transaction systems and hence, information about real-life processes can be generated on the basis of data-driven facts (Davenport and Spanyi, 2019). Process mining offers an innovative approach to analyze the performance of a process. Commonly used manual tools – like spreadsheets in Excel, dashboards, or Power Point slides – are being replaced by dynamic tools. Process mining tools are visually reconstructing the actual flow of business processes, which helps to create a common understanding and process transparency among an organization. As a result, process analysis can be performed much more quickly and efficiently compared to the manual approach (Rozinat and Günther, 2014).
Process Architecture
Published in Vivek Kale, Enterprise Process Management Systems, 2018
Workflow process: The workflow process that is included in the calling workflow process is called a subprocess and can be nested further; that is, an XPDL workflow process could include another XPDL workflow process and so on. Thus, a complex process can be decomposed into a hierarchy of increasingly detailed processes. For instance, the order-to-cash business process can be decomposed into the order entry, order fulfillment, delivery, and billing subprocesses.
Knowledge Management Model Development and Validation Using an ERP Simulation
Published in Journal of Computer Information Systems, 2022
Kimberly Deranek, Barbara Hewitt
The process knowledge management enablers include T-shaped skills and exposure to sub-processes associated with the order-to-cash cycle. Typically, employees are most familiar with the processes that align with their respective business units.28 If they do not have a systemic understanding of business processes, explaining their integrated nature can be complicated.15,17 For instance, in the order-to-cash process, information and/or materials flow through the planning, purchasing, production, sales, and logistics departments. Support functions such as accounting and IT are also involved in the process making them quite intricate.