FROM STRATEGY TO ROI: ADVANCED CLOUD MIGRATION METHODS ACCELERATING DIGITAL TRANSFORMATIONS

Ivaylo Dimitrov ()
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Ivaylo Dimitrov: University of Economics - Varna / Department of Informatics, Varna, Bulgaria

Conferences of the department Informatics, 2024, issue 1, 155-161

Abstract: Cloud migration has become a core strategy for enterprises to stay competitive in today’s dynamic environment. This paper explores advanced cloud migration methods that expedite business transformation by reducing time-to-value, improving efficiency, and ensuring quality. While cloud migration inquiries once focused on feasibility, businesses now emphasize alignment with strategic objectives, timelines, ROI, and quality assurance. This study presents an advanced framework that integrates business goals into each stage of the cloud migration process, starting with an assessment of both technical needs and expected business outcomes, such as efficiency gains and cost savings. Practical implementation examples, like automated workload assessments and phased migration strategies, are highlighted to meet the demand for faster, predictable ROI. Key business dynamics, such as agility, scalability, and efficiency, are identified as success metrics in modern cloud initiatives. The analysis draws on advanced methodology for accelerated cloud migrations, emphasising how automation and best practices support both technical and business needs. These advanced methods reduce the time required for cloud adoption, allowing organizations to realize benefits sooner, including enhanced agility, reduced costs, improved service quality, and stronger data-driven capabilities for better ROI. This paper also presents the role of cloud solutions in modernising IT for educational institutions, positioning them as significant incubators of innovation. By combining theoretical insights and practical case studies, it aims to bridge strategic cloud adoption with implementation challenges, providing valuable guidance for decision-makers in business and education. The findings suggest that advanced cloud migration methods transform both technical and business landscapes, enabling organizations to respond effectively to market demands and drive continuous innovation. The study offers a blueprint for aligning cloud strategies with measurable outcomes, ensuring migration serves as a strategic driver of digital transformation.

Keywords: Business Transformation; Efficiency; Cloud Migration; Automation; ROI (Return on Investment) (search for similar items in EconPapers)
JEL-codes: C8 (search for similar items in EconPapers)
Date: 2024
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