IDEAS home Printed from https://ideas.repec.org/a/jbh/ijsrcs/v11y2025i2id1215.html

Integrating Legacy Systems with Modern Revenue Management Platforms: A Technical Deep Dive

Author

Listed:
  • Vikas Reddy Vallakonda

Abstract

The integration of legacy systems with modern revenue management platforms presents critical challenges in enterprise digital transformation initiatives. Organizations face complex hurdles in bridging the technological divide between established infrastructure and contemporary solutions while maintaining operational continuity. This technical exploration presents comprehensive strategies for successful integration, encompassing architectural considerations, data mapping frameworks, and security implementations. The focus extends to performance optimization through multi-level caching strategies and real-time monitoring systems, ensuring optimal system responsiveness and reliability. By implementing structured integration methodologies, organizations can achieve significant improvements in revenue optimization, operational efficiency, and system security. The discussion encompasses pattern-based security architectures, data quality management frameworks, and implementation strategies that enable seamless communication between legacy and modern systems while maintaining data integrity and system performance.

Suggested Citation

  • Vikas Reddy Vallakonda, 2025. "Integrating Legacy Systems with Modern Revenue Management Platforms: A Technical Deep Dive," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 11(2), pages 1496-1506, March.
  • Handle: RePEc:jbh:ijsrcs:v11:y2025:i2:id:1215
    DOI: 10.32628/CSEIT25112498
    Note: Article URL: https://ijsrcseit.com/home/article/view/CSEIT25112498
    as

    Download full text from publisher

    File URL: https://ijsrcseit.com/home/article/view/CSEIT25112498
    File Function: Article URL
    Download Restriction: no

    File URL: https://ijsrcseit.com/home/article/download/CSEIT25112498/CSEIT25112498
    File Function: Full text
    Download Restriction: no

    File URL: https://libkey.io/10.32628/CSEIT25112498?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:jbh:ijsrcs:v11:y2025:i2:id:1215. 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: Pankaj Sharma (USA) (email available below). General contact details of provider: https://ijsrcseit.com/home .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.