Process mining is a set of data analysis techniques and tools for extracting information from so called event logs which are commonly available in modern IT systems. Event logs register activities performed by an organization's employees. Such logs are typically created, inter alia, in document workflow systems, customer relationship management systems, task management systems. Because information systems support the operation of many areas of an organization, event logs record its real manner of operation. Real, in other words not presumed. Process mining joins ideas of process modelling and analysis on the one hand and data mining and machine learning on the other. Well-performing organisation consists of individuals collaborating together in some social context to achieve common and individual goals. To achieve those goals effectively organisations must address the challenges of dynamic, turbulent and competitive environment. This leads to constant, ongoing change in working methods, methods of goods and service delivery etc. Knowledge about real shape of business processes is a first step to perform such a change effectively. The two characteristics of process mining facilitate efficient change in organization and distinguish process mining from other data analytic techniques: (1) focus on people and their decisions, interactions, collaboration patterns and organizational dependencies, (2) focus on activities performed by those people and casual and time dependencies among those activities.

1. Process Mining:
Data Enabling
Organisational Change
www.pwc.com
Data Innovation Summit
March 26th, 2015
Zbigniew ‘Zibi’ Paszkiewicz, Ph.D.
zbigniew.paszkiewicz@be.pwc.com
Risk Assurance Services

2. PwC
Organisations and processes
Process Mining: Data Enabling Organisational Change
2
March 2015
Activity
Activity
Activity
Activity
Activity
Activity
Activity
Activity

3. PwC
Constant change
Process Mining: Data Enabling Organisational Change
3
March 2015
Dynamic Turbulent Competitive
Constant change
Change of processes Change of social context

4. PwC
Areas of concern
Process Mining: Data Enabling Organisational Change
4
March 2015
Improvement of effectiveness
Utilization of resources
Quality assurance
Standardization of operations
Fraud detection and prevention
Risk management

5. PwC
Traditional approach
Process Mining: Data Enabling Organisational Change
5
March 2015
Workshops
Interviews
Observations
Document analysis

6. PwC
Promise vs. Reality
Process Mining: Data Enabling Organisational Change
6
March 2015
Promise Reality
Method for discovery of real business processes

7. PwC
Event logs
Process Mining: Data Enabling Organisational Change
7
March 2015
Event
log

8. PwC
Process mining
Process Mining: Data Enabling Organisational Change
8
March 2015
Event
log

9. PwC
Traditional areas of process mining
Process Mining: Data Enabling Organisational Change
9
March 2015
Discovery Conformance & Enhancement (Cross)organizational Mining
Off-line

10. PwC
Traditional areas of process mining
Process Mining: Data Enabling Organisational Change
10
March 2015
Detection Prediction Recommendation
On-line
6 days
7 days
6 days

11. PwC
One process - various models
Process Mining: Data Enabling Organisational Change
Process
discovery
Precision
Fitness
Generalisation
Simplicity
Occam’s razor
not under-fittingnot over-fitting
describe behaviour
More on process mining
research concepts:

12. PwC
Process Mining: Data Enabling Organisational Change
12
March 2015

13. PwC
Organisation X-ray
Process Mining: Data Enabling Organisational Change
13
March 2015

14. PwC
Enabling organisational change - activities
Process Mining: Data Enabling Organisational Change
14
March 2015
Process mining
Focus on activities
Casual and time dependencies
Performance characteristic
Variants of executions

15. PwC
Enabling organisational change - people
Process Mining: Data Enabling Organisational Change
15
March 2015
Process mining
Focus on people
Decisions and knowledge
Interactions
(Inter)organizational dependencies

16. PwC
Enabling organisational change - advantages
Objective
Complete
Multi-aspect
Quick
Detailed
Process Mining: Data Enabling Organisational Change
16
March 2015

17. PwC
Selected areas of scientific research
Process Mining: Data Enabling Organisational Change
17
March 2015
Online predictions
and recommendations
Inter-organizational
processes
Multi-dimensional
process models
Dynamic development of commercial and open source tools
Event log standards

18. PwC
IEEE CIS Task Force on Process Mining
Process Mining: Data Enabling Organisational Change
18
March 2015
http://www.win.tue.nl/ieeetfpm/https://www.coursera.org/course/procmin

19. PwC
PwC Process Intelligence
Process Mining: Data Enabling Organisational Change
19
March 2015
http://www.pwc.be/en/data-analytics-services/
Internal audits
Financial audits
Shared service centres
Data management practices
We are hiring…
IT system implementations
Sector specific processes

20. Thank you!
© 2015 PricewaterhouseCoopers. All rights reserved. “PricewaterhouseCoopers” refers to the network
of member firms of PricewaterhouseCoopers International Limited, each of which is a separate and
independent legal entity.
Zbigniew ‘Zibi’ Paszkiewicz, Ph.D.
zbigniew.paszkiewicz@be.pwc.com
Mobile: +32 491 62.17.81
Risk Assurance Services
LinkedIn: https://www.linkedin.com/in/zpaszkiewicz
Research Gate: http://www.researchgate.net/profile/Zbigniew_Paszkiewicz/
Process Mining:
Data Enabling Organisational Change