Authors: Alia Siddiqui
Abstract: As businesses increasingly rely on data to drive decisions, traditional customer relationship management (CRM) systems struggle to meet the growing demands of real-time analytics, integration flexibility, and operational scalability. Legacy CRMs often suffer from rigid architectures, data silos, and vendor lock-in, all of which impede the flow of information critical for business intelligence (BI). This review explores the transformative potential of Linux-based CRM platforms in addressing these limitations. Emphasizing open-source flexibility, modular design, and seamless integration with BI and ETL tools, Linux CRMs offer a robust foundation for modern data strategies. Through centralized customer data management, real-time pipelines, and support for predictive analytics, these systems enable organizations to unlock actionable insights and foster data-driven agility. Furthermore, Linux environments provide significant advantages in terms of automation, cost-efficiency, governance, and compliance. This article also discusses comparative performance against proprietary CRMs, presents case studies across industries, and examines the future trajectory of Linux CRMs in the context of AI integration, edge computing, and evolving interoperability standards. Ultimately, Linux-based CRM architectures represent a compelling pathway for enterprises aiming to modernize their customer data strategies while enhancing operational efficiency and BI readiness.
DOI: https://doi.org/10.5281/zenodo.16880694
