Overcoming Early-Stage Adoption Challenges of Microsoft Fabric in Enterprise Environments

Abstract

Microsoft Fabric is emerging as a comprehensive and unified data platform that integrates data engineering, analytics, and business intelligence within a single cloud-based ecosystem. Its design aims to simplify data management, promote interoperability, and accelerate analytical innovation across enterprise environments. Despite these advantages, early adopters often encounter substantial challenges related to migration complexity, evolving functionality, and organizational preparedness. This paper presents an analytical exploration of these early-stage adoption barriers and proposes structured strategies for overcoming them. It emphasizes the importance of incremental implementation approaches, including domain-aligned workspace organization and proof-of-concept deployments, as mechanisms to reduce risk and enhance operational readiness. Furthermore, the study highlights the architectural and governance benefits of Microsoft Fabric’s unified framework, particularly its capacity to enable real-time analytics, cost efficiency, and centralized compliance management. In addition to serving as a practical guide for enterprise practitioners, the paper provides constructive recommendations to the Microsoft Fabric development team aimed at improving migration support, documentation quality, and enterprise-grade feature maturity to strengthen the platform’s long-term adoption and impact