MACHINE LEARNING USE CASE DISCOVERY AND IMPLEMENTATION IN THE FINANCE AND ACCOUNTING DOMAINS OF COMPANIES

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dc.contributor.authorTuzcuoğlu, Tolga
dc.date.accessioned2025-02-20T17:45:23Z
dc.date.available2025-02-20T17:45:23Z
dc.date.issued2023
dc.departmentTürk-Alman Üniversitesi
dc.description.abstractThis research paper presents an approach for identifying and implementing machine learning use cases in finance and accounting in an agile setting. The study aims to address the gap in the literature, which predominantly covers the individual advantages of using machine learning in accounting and finance; however, it lacks a comprehensive view of the generation of use cases in this field. Furthermore, the study provides insights for organizations in creating machine learning-driven solutions, improving productivity, attaining operational excellence, generating cost savings, and fostering profitable growth. The proposed methodology includes a comprehensive step-by-step strategy comprising 18 distinct process phases categorized into five main clusters.
dc.identifier.endpage106
dc.identifier.issn2149-5750
dc.identifier.issn2717-7629
dc.identifier.issue2
dc.identifier.startpage89
dc.identifier.urihttps://hdl.handle.net/20.500.12846/2028
dc.identifier.volume9
dc.language.isoen
dc.publisherIstanbul Aydin University
dc.relation.ispartofFlorya Chronicles of Political Economy
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_DergiPark_20250220
dc.subjectMachine Learning in Finance and Accounting
dc.subjectDigital Transformation
dc.subjectUse Case Generation
dc.subjectAgile Management
dc.subjectCorporate Finance
dc.titleMACHINE LEARNING USE CASE DISCOVERY AND IMPLEMENTATION IN THE FINANCE AND ACCOUNTING DOMAINS OF COMPANIES
dc.typeArticle

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