Modernizing Legacy IT Systems : Methods, Challenges, and Strategic Insights

Modernising legacy information technology (IT) systems is essential to improving efficiency, maintaining competitive advantage and driving business growth. This article provides an in-depth analysis of different approaches to modernising legacy systems, highlighting the importance of selecting appropriate methods and taking into account the common challenges faced by organisations during these transitions. The goal of this analysis is to compare different approaches to modernisation, identify best practices and offer concrete suggestions for overcoming difficulties. These objectives were achieved using a case study approach, ensuring an in-depth analysis of real-world modernisation projects in a wide range of areas. The research selected was chosen for its relevance, the quality of the data and its ability to provide valuable insights into the challenges of IT modernisation. Although this review was comprehensive, a number of difficulties and limitations were encountered, such as the diversity in scope and depth of existing research, which sometimes made it difficult to make accurate comparisons between each of the methodologies. In addition, specific organisational contexts and rapidly evolving technological landscapes have added additional levels of complexity, limiting the generalisability of the results. Nevertheless, this study provides essential insights and concrete recommendations to support organisations through the complex process of modernising IT systems, enabling them to make informed decisions tailored to their specific needs and situations.

Authors

Institutions

Publication Details

Published
2024-12-03
DOI
https://doi.org/10.1109/ic3it63743.2024.10869403
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Modernizing Legacy IT Systems : Methods, Challenges, and Strategic Insights

Assia Beloucif, Sofiane Aouag, Meradi Chaima
Big Data and Business Intelligence
article

Modernizing Legacy IT Systems : Methods, Challenges, and Strategic Insights

Assia Beloucif, Sofiane Aouag, Meradi Chaima
article en

Abstract

Modernising legacy information technology (IT) systems is essential to improving efficiency, maintaining competitive advantage and driving business growth. This article provides an in-depth analysis of different approaches to modernising legacy systems, highlighting the importance of selecting appropriate methods and taking into account the common challenges faced by organisations during these transitions. The goal of this analysis is to compare different approaches to modernisation, identify best practices and offer concrete suggestions for overcoming difficulties. These objectives were achieved using a case study approach, ensuring an in-depth analysis of real-world modernisation projects in a wide range of areas. The research selected was chosen for its relevance, the quality of the data and its ability to provide valuable insights into the challenges of IT modernisation. Although this review was comprehensive, a number of difficulties and limitations were encountered, such as the diversity in scope and depth of existing research, which sometimes made it difficult to make accurate comparisons between each of the methodologies. In addition, specific organisational contexts and rapidly evolving technological landscapes have added additional levels of complexity, limiting the generalisability of the results. Nevertheless, this study provides essential insights and concrete recommendations to support organisations through the complex process of modernising IT systems, enabling them to make informed decisions tailored to their specific needs and situations.

University of Batna 1 (DZ)
Openalex Percentile: Top 57%
Big Data and Business Intelligence
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.