Interactive Case Study · Work In Progress

DH7 Intel Operations Dashboard

A single-pane operational dashboard designed to aggregate open-source intelligence streams, surface regional risk, and provide analysts with contextual tools for decision support. This page documents the current architecture and the next planned phases.

Theater View

Atlantic-centered map ops

Data Backbone

Supabase + mock fallback

Analyst UX

Signals, ticker, contextual chat

Reliability

Graceful degradation paths

Aggregation Architecture

Core flow from external OSINT-style feeds through ingestion and normalization into map overlays, feed rails, and operator actions.

Open Source FeedsGeo, cyber, infra, economicProvider Status InputsHealth + freshness metadataIngest + Normalize LayerSchema map, severity, region tagsSupabase Schemaevents, risk_snapshots, statusMap + Overlay LayerAtlantic view + CSP footprintSignal Rails + FeedSecurity watch + event streamContextual Analyst ChatState-aware interaction layer

Current implementation focus

  • - Atlantic-centered operational map balancing US, UK, Africa, and Middle East visibility.
  • - Provider overlays (AWS/GCP) as static seed datasets for roadmap-compatible migration.
  • - Security Watch rail with live media context and event severity summaries.
  • - Analyst-assist chat controls that can update dashboard state from conversational intent.

How data is interpreted

  • - Ingestion normalizes category, severity, and region across mixed source schemas.
  • - Snapshot scoring derives directional pressure metrics from event concentration and criticality.
  • - Freshness state separates source transport health from domain event risk.
  • - UI keeps a deterministic fallback path to maintain operational continuity during feed outages.

Enhancement roadmap

Phase 1 · Data expansion

Add broader source coverage (regional OSINT feeds, policy signals, and verified advisories) with explicit provenance scoring.

Phase 2 · Correlation model

Introduce cross-signal linking to identify multi-source incidents, anomaly clusters, and operator-relevant narratives.

Phase 3 · Workflow automation

Ship runbook triggers, threshold-based escalation, and role-aware queues for faster incident response loops.

Phase 4 · Decision support

Deliver explainable recommendations, scenario simulation, and confidence indicators directly in analyst context.

Live demo

The production-facing WIP dashboard is available at labs.dh7systems.com and is actively evolving.

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