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. Muscat onsite live Automated Business Process Discovery (ABPD) trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
The Golden Tulip Seeb
Muscat Exhibition St, H8M3+JH7, Muscat, Oman, 111
The Golden Tulip Seeb is just 11 km from New Muscat International Airport. Public buses and taxis are avaiable 24hours. It will take 22 minutes to reach the Muscat City, in Al Khuwair district.The 4-star Golden Tulip Seeb Hotel Muscat is just few minutes drive from Oman Convention Exhibition Center and Muscat City Center Shopping Mall.
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)
Lots of practice during the training and quizzes were useful and made it more interactive
Valter Pinho - GE Medical Systems Polska Sp. Z O.O.
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