Automated Financial Data Integrity: An Algorithmic Approach to Robust Daily Bank Reconciliation

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-11-15
DOI
https://doi.org/10.5281/zenodo.17619059
Primary Topic
Financial Distress and Bankruptcy Prediction
Type
article
Field-Weighted Citation Impact
0.00
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article

Automated Financial Data Integrity: An Algorithmic Approach to Robust Daily Bank Reconciliation

Zenodo (CERN European Organization for Nuclear Research)
Financial Distress and Bankruptcy Prediction
article

Automated Financial Data Integrity: An Algorithmic Approach to Robust Daily Bank Reconciliation

article en

Abstract

No abstract available for this paper.
Zenodo (CERN European Organization for Nuclear Research)
Georgia Institute of Technology (US), Swami Vivekanand Subharti University (IN), Mody University of Science and Technology (IN)
Peace, Justice and strong institutions
Openalex Percentile: Top 32%
Financial Distress and Bankruptcy Prediction
DOIOpen Access PDFOpenAlex
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