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

Konstantina Ragazou (), Ioannis Passas (), Alexandros Garefalakis () and Constantin Zopounidis ()
Additional contact information
Konstantina Ragazou: Hellenic Mediterranean University
Ioannis Passas: Hellenic Mediterranean University
Alexandros Garefalakis: Hellenic Mediterranean University
Constantin Zopounidis: Technical University of Crete

A chapter in Essays on Financial Analytics, 2023, pp 159-173 from Springer

Abstract: 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.

Keywords: Financial analytics; Decision-making process; Sustainability; Multiple criteria decision-making; Strategy (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:lnopch:978-3-031-29050-3_9

Ordering information: This item can be ordered from
http://www.springer.com/9783031290503

DOI: 10.1007/978-3-031-29050-3_9

Access Statistics for this chapter

More chapters in Lecture Notes in Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().