IDEAS home Printed from https://ideas.repec.org/a/cvt/journl/y2024id1050.html

Comparative Analysis of Data Analytics Approaches in the Context of Business Digital Transformation

Author

Listed:
  • M. A. Kuzmin

Abstract

The article is dedicated to exploring data analytics approaches within the context of business digital transformation. The role of data in enhancing the efficiency of enterprises is highlighted, as data facilitates informed managerial decision–making and strengthens competitive advantages. It is emphasized that the effective use of data requires not only advanced infrastructure and personnel competencies but also a systematic approach that integrates various methods of data analysis and justifies the transition to specific business analytics strategies. A comparative analysis of three primary data analytics approaches – analog, digital, and big data – is conducted. A data analytics model is presented, reflecting the evolution and synergetic integration of these approaches. The study identifies a unified orientation in data analytics, aimed at improving business efficiency through the application and value of business analytics. The distinct characteristics of the transition from analog to digital approaches and from digital to big data analytics are determined, with a focus on changes in infrastructure, personnel competency requirements, and the applicability of data analysis methods. The study concludes with the recognition of the necessity of applying synergetic and systematic approaches to data analytics in the context of digital transformation, which contributes to maximizing the effectiveness of business analytics.

Suggested Citation

  • M. A. Kuzmin, 2024. "Comparative Analysis of Data Analytics Approaches in the Context of Business Digital Transformation," Scientific notes of the Russian academy of entrepreneurship, JSC “Publishing Agency “Science and Educationâ€, vol. 23(3).
    • Handle: RePEc:cvt:journl:y:2024:id:1050
    DOI: 10.24182/2073-6258-2024-23-3-19-28
    as

    Download full text from publisher

    File URL: https://www.scinotes.ru/jour/article/viewFile/1050/867
    Download Restriction: no
    File URL: https://libkey.io/10.24182/2073-6258-2024-23-3-19-28?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
    ---><---

    References listed on IDEAS

    as
    1. Pavel A. Mikhnenko, 2023. "Multimodal business analytics: The concept and its application prospects in economic science and practice," Upravlenets, Ural State University of Economics, vol. 14(6), pages 2-18, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.

      More about this item

      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:cvt:journl:y:2024:id:1050. 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.

      If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Ð ÐµÐ´Ð°ÐºÑ†Ð¸Ñ (email available below). General contact details of provider: .

      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.