Process Mining: Data Enabling Organisational Change
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The document discusses how process mining can facilitate organizational change by analyzing data from business processes. It highlights various areas of concern including resource utilization, quality assurance, and risk management, and contrasts traditional approaches with the capabilities offered by process mining. Additionally, it outlines the advantages of process mining in enabling quick and detailed insights into organizational activities and interactions.
Process Mining: Data Enabling Organisational Change
- 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