REVOLUTIONIZING BUSINESS INTELLIGENCE: INTRODUCING TABLEAU AS A SELF-SERVICE BI REPORTING TOOL USING MOORA METHOD

Abstract

In today’s data-driven world, businesses require robust tools to transform raw data into meaningful insights for strategic decision-making. Tableau, a leading self-service Business Intelligence (BI) reporting tool, has revolutionized data visualization by empowering users to explore and analyze data without deep technical expertise. Unlike traditional BI solutions that rely heavily on IT departments, Tableau provides an intuitive drag-and-drop interface, enabling users to create interactive dashboards and real-time reports efficiently. Its ability to integrate with multiple data sources, from spreadsheets to cloud databases, makes it a versatile solution for organizations of all sizes. Additionally, Tableau’s AI-driven analytics and automation features enhance data-driven decision-making. As companies increasingly prioritize agility and data democratization, Tableau stands out as a transformative tool that enables faster insights and greater accessibility. This paper explores the significance of Tableau in self-service BI, highlighting its impact on business efficiency, user empowerment, and data-driven strategies. The adoption of self-service BI tools like Tableau has become a critical factor in modern business intelligence, significantly enhancing decision-making and operational efficiency. Traditional BI systems often require extensive IT intervention, causing delays and limiting data accessibility. Tableau addresses this challenge by offering user-friendly data exploration and visualization capabilities, allowing business users, analysts, and executives to generate insights independently. The significance of researching Tableau’s impact lies in understanding its role in data democratization, reducing time-to-insight, and improving data literacy across organizations. With businesses generating vast amounts of structured and unstructured data, tools like Tableau provide real-time analytics, enabling organizations to react swiftly to market trends. Furthermore, this research examines Tableau’s contribution to cost savings, scalability, and competitive advantage, as it eliminates the need for extensive technical expertise while fostering a data-driven culture. By evaluating its strengths and limitations, this study highlights how Tableau revolutionizes business intelligence through its self-service capabilities.
Methodology: MOORA (Multi-Objective Optimization by Ratio Analysis) is a method used for evaluating alternatives based on multiple, often conflicting criteria. It helps in decision-making processes by allowing for the comparison of different performance ratios against reference alternatives. MOORA involves assigning weights to various criteria, measuring their significance, and sorting the alternatives accordingly. This technique aids in balancing multiple factors in complex decision-making scenarios. By systematically measuring trade-offs and considering multiple objectives simultaneously, MOORA provides a structured framework for achieving well-known and effective results.
Alternative: Tableau, Power BI, Qlik Sense, Looker, MicroStrategy, SAP BO, IBM Cognos, Domo. Evaluation
Parameter: Ease of Use, User Adoption Growth (%), Time-to-Insight (Minutes), Implementation Cost ($K), Maintenance Effort, System Complexity.
Result: Based on the findings, the Tableau the lowest score, while the Personalized Holoxica AR Headset achieved the highest ranking.