International Journal of Science, Engineering and TechnologyAuthors: Harjit Singh
Abstract: The evolution of business intelligence (BI) has shifted the focus from static reporting to interactive, data-driven storytelling, enabling organizations to make timely and informed decisions. Tableau has emerged as a leading platform in this landscape, providing intuitive, self-service dashboards, advanced visualization capabilities, and an in-memory associative engine that facilitates rapid exploration of complex datasets. This review article presents a comprehensive examination of Tableau’s architecture, data integration strategies, visualization frameworks, and advanced features for creating compelling and actionable dashboards. Emphasis is placed on best practices for data modeling, dashboard design, performance optimization, and governance, ensuring efficient deployment and high user adoption across enterprises. Industry-specific applications in finance, healthcare, and retail are analyzed to demonstrate real-world impact, highlighting how Tableau enhances operational efficiency, risk management, and strategic planning. Additionally, challenges such as data quality, scalability, and user training are addressed alongside mitigation strategies. The article also explores emerging trends, including AI-assisted analytics, real-time data streaming, cloud-based deployments, and mobile accessibility, providing a forward-looking perspective on Tableau’s evolving capabilities. By combining technical insights with practical recommendations, this review serves as a valuable guide for BI developers, analysts, and decision-makers seeking to maximize the effectiveness of their Tableau implementations and harness data for strategic advantage.
DOI: https://doi.org/10.5281/zenodo.17276908
