process mining in business process management

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