process mining in business process management
TRANSCRIPT
Process mining in Business Process Management
An overview
By: Ramez AL Fayez@ramez_fayez
Agenda
Introduction Process mining Benefits and Drawbacks Frameworks Conclusion Discussion
Introduction
Business Processis a collection of related, structured activities or tasks that produce a specific service or product (serve a particular goal) for a particular customer or customers.
“ An enterprise is a sum of its processes”
BPM
Is the science/management field that focuses on
“improving corporate performance by modeling, automation, execution, control, measurement and optimization a company's business processes.”
BPM origin was introduced by Michael Hammer and James Champy in 1993
Process Mining
Process Mining is not Data Mining ! Process mining: about end-to-end
processes. Data mining: data-centric and not
process-centric
“ Process Mining is data mining but with a focus on business process.”
Why we need process mining? Determine basic performance
metrics Determine process model Determine organizational model Analyze social network Analyze performance characteristics Security and auditing Governance
Benefits of PM
Process mining models
Process mining frameworks PrOM PBMOne ARIS QPR
Why PRoM?
Open Source Tool Support a lot of plugin Easy interface Continues improvement (latest
version is 6.1) Supports multiple formats and
multiple languages
Drawbacks of PRoM
Plugins that created for previous releases are not anymore supported in latest version,
Some plugins generate result in a way that make it confuse and hard to extract a good information
limitation in performance and stability.
Conclusion
Process mining is a must to implement Commercial should be involved more to
create a high end solution for process mining since the famous software(PRoM) is still amateur
Organizations and enterprises start feeling the importance of implementing process mining
DiscussionQ&A