pathoori.ai / Research Concept
WJAETS · Vol 15 · 2025 Peer-Reviewed 📄 View Paper ← Portfolio
📄 WJAETS Journal — Peer-Reviewed · Scopus Indexed

Digital Transformation of Crisis Management: Building Resilient Recovery Platforms

This paper presents the Geospatial Federal Transparency Node — a 15-source ETL architecture deployed for FEMA/COR3 Puerto Rico that governed $20B+ in federal disaster recovery funds, reduced reporting latency by 70%, and established a national best-practice standard serving 500+ government stakeholders across 10,000+ active projects.

Framework: Geospatial Transparency Node
Institution: CGI / FEMA COR3 Program
DOI: 10.30574/wjaets.2025.15.3.1054
ORCID: 0009-0000-2999-8263
$20B+
Federal Funds Governed
70%
Reporting Latency Reduced
10K+
Projects Monitored
500+
Stakeholders Served
Research Framework Visualizations
Primary Analysis
Secondary Analysis
Distribution / Composition
Trend Analysis
Enterprise Adoption / Impact
Framework Architecture
01
15-Source Data Unification
Integrated 15 federal and state data sources (FEMA, HUD, SBA, USACE, CDBG-DR) into a single normalized pipeline. Eliminated 70% of reporting delays by replacing manual ETL with automated reconciliation.
FEMA · HUD · SBA · USACE
02
Real-Time Geospatial Tracking
Mapped $20B+ in recovery funds across Puerto Rico, USVI, and U.S. territories using geospatial BI layers. Project-level drill-down enabled instant stakeholder visibility into disbursement status.
Geospatial BI · Power BI · ETL
03
National Best-Practice Standard
Platform adopted as the federal standard for post-disaster fund transparency. Serves 500+ stakeholders including OIG, HUD, congressional oversight, and community organizations.
Federal Standard · OIG · HUD
Cite This Research
Pathoori, M. R. (2025). Digital transformation of crisis management: Building resilient recovery platforms. World Journal of Advanced Engineering Technology and Sciences, 15(3), 105–117. https://doi.org/10.30574/wjaets.2025.15.3.1054
DOI: https://doi.org/10.30574/wjaets.2025.15.3.1054
ORCID: https://orcid.org/0009-0000-2999-8263
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