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What is Process Mining? | IBM
https://www.ibm.com:443/topics/process-mining
WEBProcess mining is a method of applying specialized algorithms to event log data to identify trends, patterns and details of how a process unfolds. Process mining applies data science to discover, validate and improve workflows . By combining data mining and process analytics, organizations can mine log data from their information systems to ...
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Process mining - Wikipedia
https://en.wikipedia.org:443/wiki/Process_mining
WEBProcess mining is a family of techniques used to analyze event data in order to understand and improve operational processes. Part of the fields of data science and process management, process mining is generally built on logs that contain case id, a unique identifier for a particular process instance; an activity, a description of the event ...
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What is Process Mining? | Celonis | Process Mining Software
https://www.celonis.com:443/process-mining/what-is-process-mining/
WEBProcess Mining: Getting an in-depth look at your business processes. Every process step you take leaves digital traces — event log data — in the transactional systems you use. Process mining extracts those digital traces and meaningfully connects them to help you understand your business better.
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Overview of process mining in Power Automate - Power Automate
https://learn.microsoft.com:443/en-us/power-automate/process-mining-overview
WEBJul 18, 2023 · Process mining is a research area and technology that helps businesses understand their real processes, how they're operated, and identify opportunities for improvement, automation, and digitization. The process mining capability in Power Automate works with the existing Microsoft platform and ecosystem to provide end-to-end solutions …
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What Process Mining Is, and Why Companies Should Do It
https://hbr.org:443/2019/04/what-process-mining-is-and-why-companies-should-do-it
WEBApr 23, 2019 · Process mining software can help organizations easily capture information from enterprise transaction systems and provides detailed — and data-driven — information about how key processes are...
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What is Process Mining - RPA and Process Mining | UiPath
https://www.uipath.com:443/rpa/what-is-process-mining
WEBProcess mining is a technique to analyze, improve, and track processes. In the old days of managing business processes, people used meetings, interviews, and simply observing things to understand how processes worked. However, this approach often painted an incomplete, and one-sided view of processes.
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What Is Process Mining? - Built In
https://builtin.com:443/data-science/process-mining
WEBJul 27, 2023 · Process mining is an emerging data science technique that involves analyzing event logs to extract information about an organization’s underlying operational processes. Here’s how it works. Written by Erdem İŞBİLEN. Image: Shutterstock / Built In. UPDATED BY. Matthew Urwin | Jul 27, 2023. More From This Expert.
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What Is Process Mining? Explore the Best Practices and Tools - G2
https://www.g2.com:443/articles/process-mining
WEBSep 16, 2022 · Process mining software performs by extracting event log data from a company's database or business management tools like customer relationship management software (CRM), enterprise resource planning software (ERP), and electronic health records software (EHR). These event logs help a business look closely at its "as-is" processes.
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What is Process Mining: Tools, Models, & Low-Code | Microsoft …
https://powerautomate.microsoft.com:443/en-us/what-is-process-mining/
WEBIn process mining, the goal is to find information about business processes to discover, compare, or enhance a certain business process, whereas data mining involves a much broader set of data to do things that include predicting customer behaviors, examining customer churn, detecting fraud, and finding other advantageous personal information ab...
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Process Mining: A 360 Degree Overview | SpringerLink
https://link.springer.com:443/chapter/10.1007/978-3-031-08848-3_1
WEBJun 27, 2022 · Process mining is an emerging scientific discipline positioned at the intersection between process science and data science. The combination of process modeling and analysis with the event data present in today’s information systems provides new means to tackle compliance and performance problems.
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