Impact Analysis is crucial in the Change Process, assessing both technical and business impacts of changes. It aids decision-making by evaluating costs and benefits, and addressing potential consequences of not implementing changes. Effective impact analysis can prevent poor decisions that lead to negative outcomes and delays, promoting valuable organizational changes.
On May 15, I presented about the future of configuration management enhanced by AI at the IpX International CM2 Congress. The presentation highlighted a fictitious day with an AI assistant, Chrissy, illustrating its role in tasks like meeting organization, impact analysis, and change planning, while addressing data quality and bias concerns in AI systems.
Announcement of the release of my first book, “The Essential Guide to Part Re-Identification,” focusing on Interchangeability and Traceability. The launch is on June 20, 2023, at 3 PM CEST / 9 AM EDT, available in ebook and paperback formats. More details will follow.
OpenAI’s release of GPT-4 enhances Large Language Models (LLMs) capabilities for impact analysis in configuration management. By leveraging LLMs, knowledge graphs can be utilized to reveal implicit relationships and support decision-making during changes. Upcoming tools, like NeoChat, hint at significant advancements in data exploration for engineers and managers.
Prof. Dr. Jörg W. Fischer sparked a debate on the relevance of Form-Fit-Function (FFF), suggesting it is gradually losing significance. FFF’s misuse and complexity in modern systems necessitate a cross-functional approach for effective impact assessments. While FFF remains valuable, its application must adapt to evolving requirements and increased complexity in product design.
This article discusses two mental models—opportunity cost and the Lollapalooza effect—in the context of Configuration Management. It emphasizes the importance of impact assessments when making changes, highlighting how opportunity costs can significantly influence decision-making. Additionally, it addresses the potential consequences of organizational culture on both negative and positive outcomes related to change implementation.
I joined Thom Singer and Craig Brown for a second time on the Digital Enterprise Society Podcast. I talk about the Future of Configuration Management. Topics like the CM2 Baseline, Machine Learning and Software over-the-air updates were discussed.
This article continues the CM Baseline series by discussing ‘Change Dependencies,’ the third component. It outlines the types of dependencies—logical, preferential, and resource—that affect the sequence of implementing changes. Understanding these dependencies aids project management by providing a clear roadmap for navigating the implementation phase and optimizing change processes.
The article discusses managing changes in the CM Baseline series using analogies related to flights. It introduces the Impact Matrix as a critical component that captures the intentions behind changes, detailing affected objects and relationships. The post emphasizes the significance of effective visualization and analysis for collaborative decision-making in change management.
The post discusses the challenges of managing changes and dependencies in configurations, introducing the CM2 Baseline as a solution. This baseline integrates communication through a Business Object Graph, highlighting the importance of connections for impact analysis. It emphasizes real-time data sharing while maintaining the integrity of expert domain tools.