Explore the insightful discussion with Prof. Hans-Jürgen Scheruhn on aligning business process management with enterprise architecture, and discover innovative frameworks for a cohesive future in enterprise knowledge.
A new podcast episode of BPM360: Covering Every Angle was published on Feb 17, 2025, with the original title:
Bridging the BPM & EA Divide: Prof. Hans-Jürgen Scheruhn on Enterprise Architecture, Process Navigation, and AI-Driven Business Models
Overview:
In this episode, Prof. Hans-Jürgen Scheruhn discusses the synergy between Business Process Management (BPM) and Enterprise Architecture (EA). He introduces his innovative Enterprise Online Guide (EOG) framework aimed at aligning business processes and IT systems while addressing the challenges faced in integration, particularly with ERP systems like SAP.
Core content:
- Prof. Scheruhn shares insights from his journey from the industry to academia, highlighting key experiences that shaped his views on BPM and EA.
- The episode explores the misalignment between BPM and EA disciplines and discusses the necessity for a unified approach.
- Introduction of the EOG Framework, advocating for a structured navigation system for business processes akin to Google Maps.
- Discussion on the challenges of integrating ERP systems, particularly SAP, with BPM in an evolving technological landscape.
- Consideration of AI’s transformative role in enhancing enterprise knowledge management and its integration with BPM and EA.
Learnings:
- Listeners will gain an understanding of the complexities involved in aligning BPM with EA for better organizational efficiency.
- Insights into the EOG framework’s approach to simplifying business navigation and process harmonization.
- Knowledge of the future implications of AI in managing enterprise knowledge and its potential to create a more integrated business model.
- The podcast illustrates the critical nature of merging hierarchical clarity with AI-driven insights to navigate enterprise challenges.
- Understanding the call for unified process intelligence as a path towards cohesive BPM and EA collaboration.
The original content was published in English.
