What Is Process Mining?
Every time a process is completed, it creates data. For example, any time a customer service request is received, you know when the call was received, who handled it, how long it took, whether the issue was resolved, just to name a few It could also include time-stamped logs of purchases made at a register. Or invoices sent on a particular date.
Common business processes leave digital footprints in enterprise systems like SAP, Salesforce and Oracle. When using simple analytics tools, you can look at this data for processing, mining the information to understand some general trends - how long things take, the total volume of processes completed, who is handling what, etc.
This is where a process mining solution comes in. Using a process mining platform, you can upload all of this data - both historical and real-time - to take these insights to the next level.
Using machine learning, process mining applications help with root-cause analysis - identifying the best and worst of all processes based on this data. What is slowing down important business tasks? What are the so-called "happy paths" that complete a full process flow as quickly as possible? Based on these insights, you can revise the full end-to-end process and reallocate resources to better align with these happy paths.
Once these new, improved processes are in place, process mining benefits conformance checking on an ongoing basis. Process mining companies can run real-time analysis on processes as they are being executed and then identify gaps between the as-is processes and the ideal case (to-be process). Once you identify those gaps, you can develop a concrete plan to close them so that as-is and to-be processes, over time, become one and the same.
The potential applications for process mining sweep across industries and departments. Anywhere there is a process in business, process mining can help. However, there are a few use cases where process mining is currently being used to improve business operations:
There are many, many different applications for process mining across industries and business functions. Anywhere there is a process in your business, process mining can help.
One example where we at Software AG have used process mining is to improve the performance and flow through our sales pipeline. We noticed that leads weren't progressing through the pipeline as quickly as they had in the past, and we wanted to make sure that we were helping prospective customers as quickly as possible.
We turned to our process data to try and understand the root cause of the slowdown. Using ARIS Process Mining, we analyzed more than 750,000 Salesforce cases to (1.) identify the root cause of the delays, (2.) find the “happy paths” where we could better automate processes and (3.) compare as-is processes to to-be processes to see potential improvements.
The result? We found that the leads we responded do quickly were 7x more likely to progress in our sales funnel than those that were delayed. With this insight in mind, we rethought the processes and resources allocated to the initial follow-up and improved conversions by 20% in key markets.
TERM/PHRASE
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DEFINITION
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Task Mining
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The granular technology of capturing all sorts of user interaction data for analysis and improvement, which is at the heart of what process mining is.
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Enterprise Mining
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On a much wider scale, democratizing process improvement via a centralized process optimization location, or a "center of excellence" designed to provide the exact process discover and analysis for an entire enterprise.
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Data Mining
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A computerized process to identify and describe patterns, discovering new trends. Process mining does this, but with unique algorithms to analyze and break down data for better understanding and visualization.
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Big Data
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The implementation of BI methods on large datasets, providing those datasets for processing and the technical platform.
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Business Process Discovery
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The basic process mining method and approach for process detection, allowing easy visualization and grasping of details to optimize outcomes.
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Process Analysis
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The basis for increased business understanding, process improvement and optimization, analyzing in-depth all structures, displaying performance.
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Process Improvement
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Optimizing existing business processes to strengthen competitiveness in industry or vertical.
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Conformance Checking
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The basic process mining technique to determine compliance of event logs according to expectations with cases simulated in models either selected as "conform" or "varying."
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Root-Cause Analysis
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Detection of potential defects, determining the root cause of those defects and possible solutions toward taking measures to eliminate them.
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Process Excellence
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Delivering consistent positive output, creating and delivering value to the customer.
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Delivering consistent positive output with not only internal processes, but other aspects, such as culture, people, resources and systems, showing how they optimally cooperate.
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Process Optimization
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Improving internal business procedures, examining documents to optimize workflow, reveal weaknesses, reduce cost and increase quality.
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Robotic Process Discovery
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A method of process discovery software applications automate, mapping processes, evaluating their automation suitability and generating workflows.
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Commonly known as RPA with software applications learning, automating and optimizing processes with recurring, rule-based criteria that mimick human interaction.
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The framework and direction toward improvement and optimization of processes to increase workflow productivity, which can include omitting, combining or even disassembling sub-processes upon analysis completion.
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