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World Journal of Advanced Research and Reviews
Article . 2025 . Peer-reviewed
Data sources: Crossref
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ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Optimizing contact center operations through strategic system migration: A case study in technological transformation

Authors: Vunnava, Manoj Kumar;

Optimizing contact center operations through strategic system migration: A case study in technological transformation

Abstract

This article presents a large-scale contact center migration initiative that successfully transformed fragmented legacy systems into a unified communications platform. Through a methodical approach encompassing detailed assessment, strategic planning, and meticulous implementation, the organization achieved significant improvements in operational efficiency, system reliability, and customer service quality. The article details the complex process of reverse-engineering existing call flows, redesigning the agent desktop environment, and implementing an integrated knowledge management system while maintaining business continuity. By examining both technical challenges and human factors, the article provides insights into critical success factors, unexpected benefits, and practical solutions to common implementation obstacles. The article demonstrates that successful contact center optimization requires balancing technological considerations with change management strategies, executive sponsorship with frontline engagement, and risk mitigation with innovation. This article offers valuable guidance for organizations contemplating similar transformations and contributes to addressing gaps in the existing literature regarding end-to-end contact center migration processes and outcomes.

Keywords

Legacy System Transformation, Contact Center Migration, Unified Communications Platform, Change Management Strategy, Agent Desktop Optimization

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
gold