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Perceptive Process Mining Getting Started GuideVersion: 2.4.written by: Product Documentation, R&D Date: September 2016 2013 Denmark International Technology S.A. All rights reserved. Perceptive Software
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Step 1: Start by identifying the specific objective or question you want to answer through the perceptive process mining.
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Step 2: Collect the relevant data that will be used for the analysis. This can include logs, records, or any other information related to the process being analyzed.
03
Step 3: Preprocess the data to ensure it is in a suitable format for analysis. This may involve cleaning the data, handling missing values, or transforming it into a standardized format.
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Step 4: Apply perceptive process mining techniques to analyze the data. This can include techniques such as process discovery, conformance checking, or performance analysis.
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Step 5: Interpret the results obtained from the analysis. This may involve identifying bottlenecks, inefficiencies, or opportunities for improvement within the process.
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Step 6: Communicate the findings and insights derived from the perceptive process mining analysis to relevant stakeholders, such as managers, decision-makers, or process owners.

Who needs perceptive process mining?

01
Organizations that want to optimize their business processes and improve efficiency.
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Companies that strive to identify and eliminate bottlenecks in their processes.
03
Process owners and managers who want to gain insights into how their processes are actually executed.
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Organizations that aim to identify non-compliance with established process models or guidelines.
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Businesses looking to improve customer experience and satisfaction by understanding customer journeys.
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Perceptive process mining is a method of analyzing and visualizing the processes within an organization to improve efficiency and identify areas for optimization.
Perceptive process mining is typically carried out by organizations looking to optimize their processes and improve their overall performance.
Perceptive process mining can be filled out by using specialized software and tools to analyze and visualize the processes within an organization.
The purpose of perceptive process mining is to identify bottlenecks, inefficiencies, and areas for improvement within organizational processes.
Information reported on perceptive process mining may include process timestamps, activity logs, resource utilization, and process variants.
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