## Republic of Slovenia: Technical Assistance Report-Data-Driven Risk Assessment

_Technical Assistance Reports, March 1, 2024_

## Source details

**Canonical URL:** [Republic of Slovenia: Technical Assistance Report-Data-Driven Risk Assessment](https://www.imf.org/en/publications/technical-assistance-reports/issues/2024/03/01/republic-of-slovenia-technical-assistance-report-data-driven-risk-assessment-545522)

## Other formats

- [Markdown version](/en/publications/technical-assistance-reports/issues/2024/03/01/republic-of-slovenia-technical-assistance-report-data-driven-risk-assessment-545522/index.md)
- [Structured JSON version](/en/publications/technical-assistance-reports/issues/2024/03/01/republic-of-slovenia-technical-assistance-report-data-driven-risk-assessment-545522/index.json)
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## Bibliographic details
- Published: March 1, 2024
- Series: Technical Assistance Reports
- DOI: https://doi.org/10.5089/9798400268366.019

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### Summary
- This short-term expert (STX) visit focused on the use of data, analytics, and tools to help improve risk assessment capabilities.
- Over the course of the mission, the team conducted four workshops and five one-to-one sessions to provide guidance on:
  - ideal organizational arrangements to support data analytics,
  - improvement of data workflows,
  - leveraging the value of country-by-country reports, and
  - development of data analytics/risk assessment models by using data science and big data analytics.
- The well-engaged SFA staff were convinced by the promising results of the new pilot risk assessment models with a solid level of commitment to apply big data anal

### Activities and key findings
- Workshops conducted: four
- One-to-one sessions conducted: five
- Primary focus areas:
  - organizational arrangements for data analytics,
  - improvement of data workflows,
  - leveraging country-by-country reporting,
  - development of data analytics/risk assessment models using data science and big data analytics.
- Engagement outcome:
  - SFA staff demonstrated strong engagement.
  - SFA staff were convinced by the promising results of the new pilot risk assessment models and showed a solid level of commitment to apply big data anal

### Publication and metadata
- Publication date: March 1, 2024
- Pages: 30
- Volume: 2024
- Issue: 010
- Series: Technical Assistance Report No. 2024/010
- DOI: https://doi.org/10.5089/9798400268366.019
- Stock No: TAREA2024010
- ISBN: 9798400268366
- ISSN: 3005-4575
- Subject: International organization, Monetary policy
- Keywords: analytics, big data analytics., corporate income tax, country-by-country reporting, Data, data science, organizational arrangements, risk assessment

*International Monetary Fund. Fiscal Affairs Dept. "Republic of Slovenia: Technical Assistance Report-Data-Driven Risk Assessment", Technical Assistance Reports 2024, 010 (2024).*

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_Source: https://www.imf.org/en/publications/technical-assistance-reports/issues/2024/03/01/republic-of-slovenia-technical-assistance-report-data-driven-risk-assessment-545522_