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Abstract: Micro Strategy stands at the forefront of business intelligence and analytics, offering cutting-edge solutions in reporting, data visualization, and mobile analytics. With options for both cloud-based and on-premises setups, it enables organizations to accelerate decision-making, boost user satisfaction, and maximize cost-effectiveness. Meanwhile, it ensures robust security and supports scalable growth with innovative, comprehensive solutions available globally. This study explores the best strategies for implementing Micro Strategy’s business intelligence tools by critically assessing five distinct
Alternatives: Cloud Implementation, On-Premises Deployment, AI/ML Integration, Block chain Security, and Bit coin Expansion. As businesses increasingly rely on data-driven insights, choosing the most effective implementation strategy has become essential for sustaining competitive edge and operational efficiency. The research is pivotal in tackling the intricate decision-making challenges organizations encounter when adopting business intelligence solutions. By assessing several factors, such as Decision Processing Speed (DPS), User Satisfaction (US), Return on Growth (RG), Implementation Cost (IC), System Downtime (SD), and Learning Curve (LC), this study establishes a clear framework for making informed technology adoption choices within enterprise settings. Utilizing the TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method, the study evaluates and ranks the various alternatives.
This approach to multi-criteria decision-making allows for a fair and objective comparison by determining how closely each option aligns with the ideal solution. The research employs normalized matrices and weighted criteria to guarantee a thorough evaluation of each potential implementation. The results indicate that Block chain-Based Data Security stands out as the top performer, boasting a closeness coefficient of 0.999941. This is followed by On-Premises Deployment (0.764172) and Bit coin Expansion (0.690708). Cloud Implementation secures the fourth spot with a coefficient of 0.529751, while AI/ML Integration ranks lowest with a coefficient of 0.Key observations suggest that block chain-based solutions excel in both security and reliability, presenting themselves as the superior choice. In contrast, traditional on-premises deployments continue to be highly relevant for organizations with specific infrastructure needs. The performance of AI/ML integration, however, falls short of expectations, pointing to potential hurdles in its implementation that organizations must carefully evaluate. Interestingly, Bit coin expansion presents a well-rounded profile across the various evaluation criteria, positioning it as a viable strategic investment while maintaining operational efficiency. These insights offer significant direction for organizations looking to fine-tune their business intelligence strategies, weighing the balance between performance, cost, and security concerns
