What is Process Mining?

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IBM Technology

IBM Technology

Жыл бұрын

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Process mining is a technique that applies data science to discover, monitor and optimize business processes by analyzing available knowledge from event log systems and desktop interactions.
IBM’s Lou Foglia explains how process mining can help a business better understand the performance of their processes, find bottlenecks and accelerate improvements in the areas of need.
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Пікірлер: 12
@mayankkushwaha815
@mayankkushwaha815 Жыл бұрын
Very well put through. The kind of process engineering that business waste a lot of resources and time can be easily optimized by task mining. Thank you so much for this great quick tutorial. Looking forward for more info.
@hyperautomation
@hyperautomation Жыл бұрын
Very nicely put! It's a gem for everyone working with processes and automation.
@TomiwaAdegbola
@TomiwaAdegbola 4 ай бұрын
Concise explanation!! Bravo!
@davidkeyes7657
@davidkeyes7657 Жыл бұрын
Veery good description of Process Mining!😎
@sandianl
@sandianl Жыл бұрын
Very well
@timtam3730
@timtam3730 Жыл бұрын
I want to learn about process mining for my assignment but the dude in the video looks so cute and handsome that it makes it difficult for me to concentrate :(
@manhoosnick
@manhoosnick 10 ай бұрын
Are there any jobs in this field and any IBM certifications?
@Kreepeuromg1o0fat
@Kreepeuromg1o0fat Жыл бұрын
could you say that process mining is a subset of data mining ? thanks for the video
@veritaxverity8567
@veritaxverity8567 Жыл бұрын
I would honestly say so brother.
@quinnherden
@quinnherden 5 ай бұрын
Yes~
@rajeevgangal542
@rajeevgangal542 Жыл бұрын
The bottleneck is getting IT to enable and share logs overcoming governance issues. Also not all software generate ligs.
@drevil7vs13
@drevil7vs13 10 ай бұрын
I would say bottlenecks can be different. From process mining center of excellence perspective, the bottleneck for propagating process mining usage in a company can be process owners that are hard to involve into process optimization projects. If process owner is not interested in spending their or their subject matter experts' time on it, the project quite certainly will lead nowhere. The bottleneck can be lack of people who are able to not to just extract but also transform the data - as it's not always the case when we can take an as-is event log from just 1 tables from a source system and load it as-is into process mining software. E.g. if we are talking about SAP ERP or a similar system where you need to extract pieces of event logs from multiple tables. The fact that not all software generates logs can lead to the understanding that company needs to collect ones if they want to have transparent processes and improve them if needed.
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