Author
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.
Suggested Citation
Ivaylo Dimitrov, 2024.
"From Strategy To Roi: Advanced Cloud Migration Methods Accelerating Digital Transformations,"
Conferences of the department Informatics, Publishing house Science and Economics Varna, issue 1, pages 155-161.
Handle:
RePEc:vrn:katinf:y:2024:i:1:p:155-161
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:vrn:katinf:y:2024:i:1:p:155-161. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Vladimir Sulov (email available below). General contact details of provider: https://edirc.repec.org/data/uevarbg.html .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.