Challenges include the significant complexity involved in data and model migration processes, often requiring careful coordination and detailed planning. Difficulties also arise when integrating new systems with existing legacy infrastructure, which can be outdated and incompatible. Additionally, resistance from users and challenges in user adoption present major obstacles, as people may be hesitant to change established workflows. There is also the risk of overengineering solutions that exceed practical needs, leading to wasted resources. Problems are compounded by unclear or poorly defined requirements and success metrics, making it hard to measure progress effectively. Furthermore, gaps in necessary skills and training among team members can hinder smooth implementation, alongside the ongoing necessity for maintenance, updates, and governance to ensure long-term success. Effectively addressing these multifaceted challenges requires thorough and careful planning at every stage, active and continuous engagement with all relevant stakeholders throughout the entire process, and a strong commitment to continuous improvement, learning, and refinement over time to adapt and optimize outcomes.
Written by EnterpriseArchitect.se, Rolf Olsson. Remarks to this article could be sent to faq@enterprisearchitect.se