Analyzing SD-WAN Deployment Challenges in the Retail Sector

This article presents a comprehensive case study analysis of a significant SD-WAN deployment failure within a large retail chain, offering critical insights into the challenges and complexities associated with network modernization in the retail sector. Through an in-depth examination of the implementation process, we identify key factors contributing to the failure, including inadequate pre-deployment assessment, poor vendor selection, overlooked security requirements, and difficulties integrating with legacy systems. The article employs a rigorous methodology, combining semi-structured interviews, document analysis, and on-site observations to provide a nuanced understanding of the technical, organizational, and human factors at play. By analyzing the consequences of the failed deployment, including increased operational costs, customer dissatisfaction, and reputational damage, we derive valuable lessons and best practices for future SD-WAN implementations. The article concludes with a discussion of risk mitigation strategies, the importance of tailored solutions, and long-term considerations for SD-WAN success in retail environments. This article contributes to the growing body of knowledge on SD-WAN adoption, offering practical guidance for retailers and IT professionals navigating the complexities of network transformation in an increasingly digital retail landscape.

Authors

Publication Details

Journal
International Journal of Scientific Research in Computer Science Engineering and Information Technology
Published
2024-10-10
DOI
https://doi.org/10.32628/cseit241051028
Primary Topic
Software-Defined Networks and 5G
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analyzing SD-WAN Deployment Challenges in the Retail Sector

Amod Darshane
International Journal of Scientific Research in Computer Science Engineering and Information Technology
Software-Defined Networks and 5G
article

Analyzing SD-WAN Deployment Challenges in the Retail Sector

Amod Darshane
article en

Abstract

This article presents a comprehensive case study analysis of a significant SD-WAN deployment failure within a large retail chain, offering critical insights into the challenges and complexities associated with network modernization in the retail sector. Through an in-depth examination of the implementation process, we identify key factors contributing to the failure, including inadequate pre-deployment assessment, poor vendor selection, overlooked security requirements, and difficulties integrating with legacy systems. The article employs a rigorous methodology, combining semi-structured interviews, document analysis, and on-site observations to provide a nuanced understanding of the technical, organizational, and human factors at play. By analyzing the consequences of the failed deployment, including increased operational costs, customer dissatisfaction, and reputational damage, we derive valuable lessons and best practices for future SD-WAN implementations. The article concludes with a discussion of risk mitigation strategies, the importance of tailored solutions, and long-term considerations for SD-WAN success in retail environments. This article contributes to the growing body of knowledge on SD-WAN adoption, offering practical guidance for retailers and IT professionals navigating the complexities of network transformation in an increasingly digital retail landscape.

International Journal of Scientific Research in Computer Science Engineering and Information TechnologyVol. 10(5)
Openalex Percentile: Top 80%
Software-Defined Networks and 5G
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.