The Role of Big Data Analytics in Curbing Financial Crimes in Zimbabwe's Public Sector

Author(s)	Ms. Shellyne Dandazara, Mr. David Chisunga
Country	Zimbabwe
Abstract	Financial crimes such as corruption, procurement fraud, and embezzlement continue to undermine Zimbabwe's public sector, eroding economic stability and public trust. Traditional auditing methods have proven inadequate in detecting and preventing sophisticated financial irregularities. This study explores the transformative potential of Big Data Analytics (BDA) in enhancing transparency, accountability, and fraud detection within Zimbabwe’s public institutions. Using a qualitative desk research methodology combined with a multiple case study approach, the study draws on secondary data from government reports (2021–2025), academic literature, and international agency briefs. Findings indicate that BDA can revolutionize forensic investigations, risk detection, and compliance monitoring through applications like anomaly detection and predictive modelling. However, challenges such as data fragmentation, skill deficits, and infrastructure gaps hinder implementation. This paper proposes actionable policy reforms, capacity building initiatives, and technological investments to integrate BDA effectively, offering insights for policymakers to foster data-driven governance in Zimbabwe.
Keywords	Big Data Analytics, Financial Crime, Public Sector, Zimbabwe, Forensic Accounting, Corruption
Published In	Volume 8, Issue 2, March-April 2026
Published On	2026-03-31
DOI	https://doi.org/10.36948/ijfmr.2026.v08i02.58450

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International Journal For Multidisciplinary Research