On this episode of Data Strategy Guru's, our guest Jan Birkholz discusses the power of process mining in analyzing and improving processes within a company. Process mining is an automatic method of reconstructing processes using digital footprints in source systems, allowing for an objective analysis and quantification of process efficiency. Jan highlights the importance of efficiency and automation in a process, as well as the measurement of key metrics such as the automation rate and rework conformance. He suggests leveraging the capabilities of Qlik's end-to-end platform, which includes integration, connectivity, data transformation, and visualization. Jan also discusses the integration of data analytics and process mining in Qlik's platform, emphasizing the value of deriving insights on KPI changes and lead time analysis. ---- Our guest: Jan Birkholz is an expert in process mining, a revolutionary method of reconstructing and redesigning processes based on digital footprints in source systems. Instead of relying on traditional methods such as interviews and map drawing, Jan utilizes an automatic approach to rebuild processes. With his expertise, Jan has transformed the way businesses analyze and optimize their operations, making processes more efficient and effective. Through his innovative work, Jan has become a leading figure in the field of process mining, helping organizations achieve unprecedented levels of productivity.
Our guest: Jan Birkholz is an expert in process mining, a revolutionary method of reconstructing and redesigning processes based on digital footprints in source systems. Instead of relying on traditional methods such as interviews and map drawing, Jan utilizes an automatic approach to rebuild processes. With his expertise, Jan has transformed the way businesses analyze and optimize their operations, making processes more efficient and effective. Through his innovative work, Jan has become a leading figure in the field of process mining, helping organizations achieve unprecedented levels of productivity.
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[00:00] Intro
[01:33] Process mining: digital footprints reconstruct and remodel.
[04:23] Process mining analyzes and extracts activities from systems, creating an event log with a leading case ID. A process model is then derived automatically without human intervention.
[07:34] Desirable process variants cover most cases. Process mining integrates data analytics into analysis.
[10:21] Process mining maximizes value in data analytics.
[14:50] Execution involves automating processes, improving user experience, and creating logs for feedback.
[00:19:28] Thanks for joining our awesome podcast!
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I'm Yves Mulkers, a Data strategist, specialised in Data Integration. I have a wide focus and domain expertise on All Things Data . My skillset ranges from the Bits and Bytes up to the strategic level on how to be competitive with Data and how to optimise business processes.
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