EconPapers    
Economics at your fingertips  
 

Using digital technology to strengthen oversight of public procurement in Portugal: The use of data analytics and machine learning by the Tribunal de Contas

Andras Hlacs and Helene Wells

No 83, OECD Working Papers on Public Governance from OECD Publishing

Abstract: The digital transformation of public procurement systems has opened new avenues for enhancing oversight activities. This transformation extends beyond traditional e-procurement systems, embracing a more comprehensive approach that integrates public financial management systems and aligns with broader digital government strategies. By leveraging advanced technologies, supreme audit institutions and other oversight bodies can gain deeper insights into procurement data, identify potential risks, and ensure greater transparency and accountability.The working paper provides an overview of how data-driven audit risk assessment can improve the efficiency and transparency of public procurement oversight activities. Drawing on a project developed at the Portuguese Court of Auditors, the paper discusses key challenges and identifies implementation practices in the development of public procurement databases and the data-driven framework for the identification of irregularities. The paper also builds on the findings and recommendations of the report “Strengthening Oversight of the Court of Auditors for Effective Public Procurement in Portugal: Digital Transformation and Data-driven Risk Assessments”.

Date: 2025-06-30
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:oec:govaaa:83-en

Access Statistics for this paper

More papers in OECD Working Papers on Public Governance from OECD Publishing Contact information at EDIRC.
Bibliographic data for series maintained by ().

 
Page updated 2025-06-26
Handle: RePEc:oec:govaaa:83-en