Data-Lineage Transparency in Automated Financial Reporting

Khalid Belhajjame

Data-Lineage Transparency in Automated Financial Reporting

Author(s)	Prof. Dr. Khalid Belhajjame
Country	United States
Abstract	The automation of financial reporting has shortened reporting cycles and reduced dependence on manual data preparation, yet it has simultaneously increased the difficulty of understanding how individual financial values move through interconnected information systems. Enterprise resource planning applications, robotic process automation, extraction-transformation-loading routines, consolidation engines, cloud platforms, analytical models, and digital reporting technologies may transform financial data repeatedly before the information reaches a published statement or management report. When these transformations are insufficiently documented, auditors and financial controllers may verify the final output without being able to reconstruct its complete origin and processing history. This study develops a data-lineage transparency framework for automated financial reporting that connects reported values with their originating records, transformation rules, system interfaces, approval events, reconciliation controls, and final disclosures. Because authenticated organizational reporting data were not supplied, the analytical component is explicitly designed as a simulation-based methodological evaluation. A synthetic environment comprising 1,000 reporting data elements is used to examine four reporting maturity conditions ranging from spreadsheet-led processing to end-to-end lineage management. A Lineage Transparency Index is proposed to measure source traceability, transformation visibility, ownership attribution, control evidence, and report-level mapping. Simulated analysis indicates that traceability completeness increases from 53% in fragmented spreadsheet-led reporting to 95% under an integrated lineage framework. The findings suggest that reporting automation alone should not be interpreted as reporting transparency. Transparency depends on whether organizations can reconstruct how data were created, transformed, approved, reconciled, and ultimately represented.
Keywords	data lineage, automated financial reporting, financial transparency, accounting information systems, audit trail, data provenance, digital assurance, XBRL
Field	Engineering
Published In	Volume 6, Issue 2, March-April 2025
Published On	2025-04-29

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American Journal of Advanced Multidisciplinary Innovation and Research

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Data-Lineage Transparency in Automated Financial Reporting

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