Online or onsite, instructor-led live Automated Business Process Discovery (ABPD, or Process Mining) training courses demonstrate through discussion and hands-on practice an overview of the most commonly used techniques for process mining, and the various process discovery algorithms and tools used for discovering and modeling processes based on raw event data. Real-life case studies are examined and data sets are analyzed using the ProM open-source framework.
ABPD training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Automated Business Process Discovery (ABPD) training can be carried out locally on customer premises in Västmanland or in NobleProg corporate training centers in Västmanland.
NobleProg -- Your Local Training Provider
Västerås
NobleProg classroom in Clarion Collection Hotel Etage Västerås, Stora Gatan 32, sweden, 722 12
Located in the heart of Västerås city. From here, the city's shopping is just outside the door. The train station, Västerås harbor and the old Kyrkbacken part of Västerås with its historic buildings and charming alleys are all within walking distance. Västerås Airport is only a 10-minute drive from the hotel.
Process mining, or Automated Business Process Discovery (ABPD), is a technique that applies algorithms to event logs for the purpose of analyzing business processes. Process mining goes beyond data storage and data analysis; it bridges data with processes and provides insights into the trends and patterns that affect process efficiency.
Format of the Course
The course starts with an overview of the most commonly used techniques for process mining. We discuss the various process discovery algorithms and tools used for discovering and modeling processes based on raw event data. Real-life case studies are examined and data sets are analyzed using the ProM open-source framework.
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Testimonials (1)
Open discussion with trainer
Tomek Danowski - GE Medical Systems Polska Sp. Z O.O.
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