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 Prince Edward Island or in NobleProg corporate training centers in Prince Edward Island.
NobleProg -- Your Local Training Provider
Charlottetown-Startup Zone
31 Queen Street, Charlottetown, Canada, C1A 7K7
Conveniently located in the innovation hub of Prince Edward Island.
Prime Business Park Opportunities by the Harbour
Make your mark on the Dartmouth coast with Burnside, a modern, flexible office space featuring an on-site parking lot and a shared rooftop patio with stunning views of Wrights Cove. Rated Class A and designed with expansive windows, this bright and airy workspace enhances productivity and inspires success.
Settle into ergonomic furniture, stay seamlessly connected with high-speed WiFi, and grow your business in a thriving, dynamic community. Recharge with a fresh coffee from the kitchen and enjoy a refreshing walk along the harbour.
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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