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Towards Hypothetical Reasoning Using Distributed Provenance Daniel Deutch, Yuval Moskovitch, Itay Polack Gadassi and Noam Rinetzky Tel Aviv UniversityABSTRACT Hypothetical reasoning is the iterative
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How to fill out process mining on databases
How to fill out process mining on databases
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What is process mining on databases?
Process mining on databases is a technique used to analyze and improve business processes by extracting knowledge from event logs stored in databases. It helps organizations visualize workflows, identify bottlenecks, and enhance operational efficiency.
Who is required to file process mining on databases?
Organizations that process significant amounts of data and wish to gain insights into their operational processes are typically required to file process mining on databases. This includes businesses in various sectors such as finance, healthcare, and manufacturing.
How to fill out process mining on databases?
Filling out process mining on databases involves collecting event logs from various data sources, ensuring data quality and consistency, using process mining tools to analyze the logs, and generating reports with insights and visualizations regarding the business processes.
What is the purpose of process mining on databases?
The purpose of process mining on databases is to gain insights into process execution, identify inefficiencies, improve compliance, and enhance decision-making by visualizing actual processes as opposed to assumed workflows.
What information must be reported on process mining on databases?
Information that must be reported includes the workflow variations, bottlenecks, compliance deviations, resource utilization, and any inefficiencies found in the process operations.
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