{
  "title": "Republic of Slovenia: Technical Assistance Report-Data-Driven Risk Assessment",
  "publication": "Technical Assistance Reports, March 1, 2024",
  "sourceUrl": "https://www.imf.org/en/publications/technical-assistance-reports/issues/2024/03/01/republic-of-slovenia-technical-assistance-report-data-driven-risk-assessment-545522",
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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.",
  "sections": [
    {
      "heading": "Summary",
      "content": "- This short-term expert (STX) visit focused on the use of data, analytics, and tools to help improve risk assessment capabilities.\n- Over the course of the mission, the team conducted four workshops and five one-to-one sessions to provide guidance on:\n  - ideal organizational arrangements to support data analytics,\n  - improvement of data workflows,\n  - leveraging the value of country-by-country reports, and\n  - development of data analytics/risk assessment models by using data science and big data analytics.\n- 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"
    },
    {
      "heading": "Activities and key findings",
      "content": "- Workshops conducted: four\n- One-to-one sessions conducted: five\n- Primary focus areas:\n  - organizational arrangements for data analytics,\n  - improvement of data workflows,\n  - leveraging country-by-country reporting,\n  - development of data analytics/risk assessment models using data science and big data analytics.\n- Engagement outcome:\n  - SFA staff demonstrated strong engagement.\n  - 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"
    },
    {
      "heading": "Publication and metadata",
      "content": "- Publication date: March 1, 2024\n- Pages: 30\n- Volume: 2024\n- Issue: 010\n- Series: Technical Assistance Report No. 2024/010\n- DOI: https://doi.org/10.5089/9798400268366.019\n- Stock No: TAREA2024010\n- ISBN: 9798400268366\n- ISSN: 3005-4575\n- Subject: International organization, Monetary policy\n- Keywords: analytics, big data analytics., corporate income tax, country-by-country reporting, Data, data science, organizational arrangements, risk assessment\n\nInternational Monetary Fund. Fiscal Affairs Dept. \"Republic of Slovenia: Technical Assistance Report-Data-Driven Risk Assessment\", Technical Assistance Reports 2024, 010 (2024).\n\n---\n\n Content in this bundle\n\n- Tarea2024010\n  - Tarea2024010 (Markdown version){rel=\"alternate\" type=\"text/markdown\"}\n  - Tarea2024010 (PDF){rel=\"external\" type=\"application/pdf\"}\n\n---\n\nSource: https://www.imf.org/en/publications/technical-assistance-reports/issues/2024/03/01/republic-of-slovenia-technical-assistance-report-data-driven-risk-assessment-545522"
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    "Published: March 1, 2024",
    "Series: Technical Assistance Reports",
    "DOI: https://doi.org/10.5089/9798400268366.019",
    "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:",
    "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",
    "Workshops conducted: four",
    "One-to-one sessions conducted: five",
    "Primary focus areas:",
    "Engagement outcome:",
    "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",
    "**Tarea2024010**"
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