Process mining for data-driven process improvement.

Format:

Video

Contributor:

Detzel, Florian, instructor.

Packt Publishing, publisher.

Language:

English

Subjects (All):

Process mining.

Industrial management.

Physical Description:

1 online resource (1 video file (05 hr., 28 min.)) : sound, color.

Edition:

[First edition].

Place of Publication:

[Birmingham, United Kingdom] : Packt Publishing, 2026.

Summary:

In this 5-hour course, you'll explore the concepts of process mining, event logs, and tools like ProM and Disco to enhance business processes. Gain practical skills in process discovery, conformance checking, and advanced techniques for data-driven decision-making. What I will be able to do after this course Apply process mining techniques to analyze business processes Use ProM and Disco to perform process discovery and conformance checking Implement predictive process monitoring and multi-perspective mining Leverage BI tools in conjunction with process mining to optimize processes Understand advanced concepts like object-centric process mining and social network mining Course Instructor(s) Florian Detzel, a PhD and expert in Business Intelligence, combines academic teaching with industry experience to equip professionals with advanced BI skills. He bridges the gap between theory and practice, empowering data enthusiasts to make impactful, data-driven decisions. Who is it for? This course is ideal for professionals in business intelligence, data analytics, and process management. It's perfect for data analysts, process managers, and BI experts, with no prior experience required, although familiarity with data analysis is beneficial.

Notes:

OCLC-licensed vendor bibliographic record.

ISBN:

1-80742-169-4

OCLC:

1570245286