Optimizing CRM Platforms with Distributed Cloud Architectures for Scalable Performance and Security

In today’s increasingly dynamic business environment, optimizing Customer Relationship Management (CRM) platforms is essential to increase operational efficiency and provide the best possible user experience. The paper presents an approach that aims to improve the performance and security of CRM platforms by integrating Distributed Cloud Architectures. The proposed solution leverages the scalability offered by cloud solutions to ensure high availability and low response time while addressing data security challenges through decentralized frameworks. Key metrics are evaluated to improve user performance. By decentralizing data and using robust encryption mechanisms, a high level of security and compliance with data protection regulations is ensured. The analysis suggests that this type of architecture provides a modern solution and a scalable and secure foundation for CRM platforms, thus supporting digitization and business growth in an increasingly digitally interconnected world.

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Publication Details

Published
2024-12-06
DOI
https://doi.org/10.1109/isas64331.2024.10845520
Citations
7
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
5.45
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article

Optimizing CRM Platforms with Distributed Cloud Architectures for Scalable Performance and Security

Vassil Milev, Marian Ileana, Pavel Petrov
7 citations
Cloud Computing and Resource Management
5.45
article

Optimizing CRM Platforms with Distributed Cloud Architectures for Scalable Performance and Security

Vassil Milev, Marian Ileana, Pavel Petrov
article en
7 citations

Abstract

In today’s increasingly dynamic business environment, optimizing Customer Relationship Management (CRM) platforms is essential to increase operational efficiency and provide the best possible user experience. The paper presents an approach that aims to improve the performance and security of CRM platforms by integrating Distributed Cloud Architectures. The proposed solution leverages the scalability offered by cloud solutions to ensure high availability and low response time while addressing data security challenges through decentralized frameworks. Key metrics are evaluated to improve user performance. By decentralizing data and using robust encryption mechanisms, a high level of security and compliance with data protection regulations is ensured. The analysis suggests that this type of architecture provides a modern solution and a scalable and secure foundation for CRM platforms, thus supporting digitization and business growth in an increasingly digitally interconnected world.

University of Pitesti (RO), St. Cyril and St. Methodius University of Veliko Tarnovo (BG)
Openalex Percentile: Top 4%
Cloud Computing and Resource Management
5.45
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