Saurabh Gandhi,
Sikkim Manipal University,
Gangtok, Sikkim, India
Er. Kratika Jain
Teerthanker Mahaveer University
Moradabad, Uttar Pradesh 244001 India
Abstract
In today’s business world, large-scale MSBI and BusinessObjects deployments are essential to fuel data-driven decision-making. Strategic modernization and proper management of the systems are the key to sustaining competitive edge and delivering strong analytics capabilities. This paper discusses best practices in managing sophisticated BI architecture with focus on an active approach combining risk assessment, performance tuning, and data governance. It discusses the dangers of system upgrades—e.g., minimizing business disruption and integration with new technologies—while focalizing the need for aligning upgraded plans with overall business goals. By embracing new techniques and consolidating system infrastructures continuously, organizations can optimize scalability, improve analytical agility, and achieve a sustainable return on investment in business intelligence projects.
Keywords
BusinessObjects, MSBI, large-scale management, system upgrades, data governance, performance optimization, BI architecture, risk assessment, enterprise analytics, strategic innovation.
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