Unstructured Over Structured, Big Data Analytics and Applications In Accounting and Management

Alessio Faccia, Luigi Pio Leonardo Cavaliere, Pythagoras Petratos, Narcisa Roxana Mosteanu

Research output: Chapter in Book/Report/Conference proceedingConference proceedingpeer-review

5 Citations (Scopus)


Generating value from big data is a task that requires models’ preparation and use of advanced technologies but which, above all, is based on the ability to extract, manage and analyse data. These processes’ effectiveness depends on the data's quality and their structured or unstructured nature. We are witnessing a growing number of applications based on unstructured data mining in the accounting and management fields. This research aims to demonstrating that despite the traditional association between accounting and quantitative analyses (expected to be based mainly on structured financial data). The findings show that several useful applications now rely on unstructured data in this field. A basic analysis of the cybersecurity risks is also presented, along with mitigating strategies to allow companies to comply with current regulations such as the GDPR. The result might appear surprising from the business perspective, but it is not from a data science perspective. In conclusion the growing number of unsctructured data business applications should orientate a better understanding of their potential and target better training of finance specialist on data processing skills.
Original languageEnglish
Title of host publicationICCBDC '22: Proceedings of the 2022 6th International Conference on Cloud and Big Data Computing
Number of pages5
ISBN (Electronic)9781450396578
ISBN (Print)978-1-4503-9657-8
Publication statusPublished - 18 Oct 2022
Event6th International Conference on Cloud and Big Data Computing - Birmingham, United Kingdom
Duration: 18 Aug 202220 Aug 2022

Publication series

NameACM International Conference Proceeding Series


Conference6th International Conference on Cloud and Big Data Computing
Abbreviated title ICCBDC 2022
Country/TerritoryUnited Kingdom
Internet address

Bibliographical note

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  • Applications
  • Structured data
  • Accounting
  • Big Data
  • Management
  • Unstructured data
  • Analytics


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