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Financial Analytics and Decision-Making Strategies: Future Prospects from Bibliometrix Based on R Package

In: Essays on Financial Analytics

Author

Listed:
  • Konstantina Ragazou

    (Hellenic Mediterranean University)

  • Ioannis Passas

    (Hellenic Mediterranean University)

  • Alexandros Garefalakis

    (Hellenic Mediterranean University)

  • Constantin Zopounidis

    (Technical University of Crete)

Abstract

Financial analytics involves the analysis of financial data by using statistical and quantitative methods to make decisions that improve businesses’ results. Specifically, this system includes data mining, predictive analytics, and applied analytics and statistics and is delivered as a custom application to a business user. The integration of financial analytics by companies has already started changing their operational process while giving them the ability to leverage data from different sources, create easy-to-use dashboards, and visualize and predict future performance tools. This means that financial analytics offers the business a competitive edge and facilitates more the decision-making process. This chapter presents the importance of financial analytics and highlights the trends and prospects of it in the subject area of the decision-making process. To approach this issue, a Bibliometrix was applied based on R package. Data were retrieved from Scopus database and analyzed with the use of Biblioshiny and VOSviewer software.

Suggested Citation

  • Konstantina Ragazou & Ioannis Passas & Alexandros Garefalakis & Constantin Zopounidis, 2023. "Financial Analytics and Decision-Making Strategies: Future Prospects from Bibliometrix Based on R Package," Lecture Notes in Operations Research, in: Pascal Alphonse & Karima Bouaiss & Pascal Grandin & Constantin Zopounidis (ed.), Essays on Financial Analytics, pages 159-173, Springer.
    • Handle: RePEc:spr:lnopch:978-3-031-29050-3_9
    DOI: 10.1007/978-3-031-29050-3_9
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