Special Tracks

Title: Digital Transformation with Process Mining (DigPro’24) – DigPro2024

The outbreak of COVID-19 significantly impacted the global economy and has continued to alter organizational functionalities. According to McKinsey, respondents now expect that at least 80% of their consumer interactions will be digital, compared to the pre-pandemic era. Consequently, most organizations have prioritized Digital Transformation.

In response to rapidly changing customer needs and technological advancements, Digital Transformation, often underpinned by Software Engineering, has become essential for businesses in the post-COVID world.

Digital Transformation involves leveraging technology to create new and modify existing business processes, customer experiences, and organizational cultures to meet the demands of a dynamic market. This transformation extends beyond traditional software project management approaches, integrating data-driven organizational practices into automation projects, thereby providing a competitive edge. Organizations already embarked on their digital transformation journey are better positioned to survive and thrive in the new normal.

Process Transformation serves as the foundational technology for future investment and transformation projects. While Process Transformation drives process optimization, with a clear roadmap and steps for introducing technology to operationally dependent processes, business leaders can realize long-term benefits and risk investing in low-value automation initiatives.

Process Mining, situated at the intersection of Process Transformation and Data Science, combines event data with process models to gain insights, identify bottlenecks, predict problems, and optimize organizational processes. Already utilized for high-volume processes in large organizations, Process Mining is poised to become the ‘new normal’ for smaller organizations.

Target Audience

This track aims to introduce Process Mining as a cornerstone of Digital Transformation, covering Process Modeling, Process Analytics, Process Discovery, and Conformance techniques with enhancement capabilities. The tutorial will be immensely beneficial to Software Engineers, System Managers, IT Project Managers, students, research scholars, faculty members in the IT field, Business Analysts, Business Process Re-engineering professionals, and consultants.

Special Track and Schedule

This track proposes to present the basics of Process Modeling, from BPMN to Petri nets, along with various prevalent tools.

The track will invite research papers and case studies, scheduled as a half-day activity. It will include a keynote, technical talks on tools and techniques, and research topics related to Process Transformation, with accepted research papers presented in the latter half.

Session 01: Process Science with Modeling Concepts and Tools.

Session 02: Business Process Mining  & Analytics: Techniques and Tools

1. Celonis team will deliver a masterclass/keynote:
Date: 07th Dec. 2024
Time: 60 Minutes + 15 Minutes Demonstration.
Audience: Master and Doctoral students of IT, Business Management & Business Informatics, few practioners
No. of Participants: ~ 25 to 40

2. Poornima from Celonis Academy will deliver a FDP session:
Date: 07th Dec. 2024
Time: 02 to 03 Sessions (Theory + Hands on)
Audience: Faculty colleagues of IT & Business Informatics
No. of Participants: ~ 10 to 15

Program Committee

• Prof. Dr. Om Prakash Vyas,  Coordinator (Business Informatics), Indian Institute of Information Technology Allahabad, PPrayagraj, India 211015; Email: opvyas@iiita.ac.in
• Prof. Dr. Sander Leemans, Professor- Business Process Management Foundations and Engineering, Gebäude: E2356, Ahornstraße 55, Aachen, Germany 52074; Email: s.leemans@bpm.rwth-aachen.de
• Dr. J.C.Bose, Head-Data science, Skam.ai, Bangalore, India, Email: jcbose@gmail.com

Special Track- Organizing Committee

• Dr. Om Prakash Vyas, Indian Institute of Information Technology Allahabad, Prayagraj, India 211015, Email: opvyas@iiita.ac.in
• Dr. Ranjana Vyas, Indian Institute of Information Technology Allahabad, Prayagraj, India 211015, Email: ranjana@iiita.ac.in