IDEAS home Printed from https://ideas.repec.org/a/jbh/ijsrcs/v11y2025i1id943.html

Navigating the SAP Data Analysis Landscape: Opportunities and Challenges

Author

Listed:
  • Sadasiva Rao Athota

Abstract

This article explores the opportunities and challenges associated with data analysis using SAP, a leading enterprise resource planning system. It examines how SAP's comprehensive data integration capabilities, advanced analytics tools, and real-time processing features can revolutionize organizational decision-making and operational efficiency. The article discusses key benefits such as centralized data access, holistic analysis capabilities, and scalability for growing businesses. However, it also addresses significant challenges, including implementation complexity, data quality concerns, potential for data siloing, and the need for specialized skills. The article further outlines strategies for maximizing SAP's data analysis benefits, focusing on establishing robust data governance practices and strategic implementation planning. By providing a balanced view of SAP's potential in data analysis, this article aims to guide organizations in leveraging SAP effectively, highlighting the importance of addressing challenges while capitalizing on opportunities to enhance data-driven decision-making and maintain competitiveness in the digital age.

Suggested Citation

  • Sadasiva Rao Athota, 2025. "Navigating the SAP Data Analysis Landscape: Opportunities and Challenges," 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(1), pages 2738-2743, February.
  • Handle: RePEc:jbh:ijsrcs:v11:y2025:i1:id:943
    DOI: 10.32628/CSEIT251112291
    Note: Article URL: https://ijsrcseit.com/home/article/view/CSEIT251112291
    as

    Download full text from publisher

    File URL: https://ijsrcseit.com/home/article/view/CSEIT251112291
    File Function: Article URL
    Download Restriction: no

    File URL: https://ijsrcseit.com/home/article/download/CSEIT251112291/CSEIT251112291
    File Function: Full text
    Download Restriction: no

    File URL: https://libkey.io/10.32628/CSEIT251112291?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:i1:id:943. 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.