Advanced Analytics

Overview#

The Advanced Analytics module provides a powerful analytics engine for creating custom metrics, dashboards, and real-time calculations. It supports over 20 metric types including basic aggregations, time-series analysis, geospatial analytics, entity network analysis, and custom formula evaluation, enabling organizations to derive deep insights from their operational data.

Key Features#

• Custom Metric Definitions - Create reusable metric calculations with flexible formulas tailored to your organization's specific needs.
• Real-Time Calculations - Execute metric calculations on demand with enterprise-grade performance for rapid decision-making.
• Configurable Dashboards - Build analytics dashboards with drag-and-drop grid layouts and multiple widget types including line charts, bar charts, pie charts, tables, metric cards, and heatmaps.
• Time-Series Analysis - Perform trend analysis, seasonality detection, moving averages, growth rate calculations, and forecasting across your data.
• Geospatial Analytics - Generate density heatmaps, perform geographic clustering, calculate pairwise distances, and measure coverage areas for location-based data.
• Entity Network Analysis - Compute network centrality scores and relationship strength between entities to identify key actors and connections.
• Custom Formulas - Define and evaluate custom mathematical formulas safely, supporting arithmetic, comparisons, and aggregation functions without code injection risks.
• Event Streaming - Real-time event sourcing captures domain events across cases, evidence, alerts, and entities for live analytics updates.
• Historical Tracking - All calculations are stored for historical analysis, enabling trend visualization and period-over-period comparisons.
• Dashboard Sharing - Share dashboards publicly within your organization or with specific team members for collaborative analysis.

Metric Types#

• Basic Aggregations - Count, sum, average, min, max, median, percentiles (90th, 95th, 99th), and percentage calculations.
• Time-Series - Trend analysis with direction and correlation strength, seasonality detection by day-of-week or month, moving averages, growth rates, and simple forecasting.
• Geospatial - Density heatmaps with configurable grid size, geographic clustering for hotspot identification, average distance calculations, and coverage area measurement.
• Entity Analytics - Network centrality ranking by connection count, and relationship strength scoring between entity pairs.
• Custom Formulas - User-defined mathematical expressions with variable substitution and built-in functions (SUM, AVG, COUNT, MIN, MAX, ABS, ROUND).

Use Cases#

• Operational Performance Monitoring - Track case resolution rates, alert response times, evidence processing throughput, and other key performance indicators with custom metrics and dashboards.
• Crime Pattern Analysis - Use geospatial heatmaps and clustering to identify geographic hotspots, and time-series analysis to detect temporal patterns in incident data.
• Investigation Analytics - Monitor investigation progress with custom dashboards showing case status distributions, team workload metrics, and resource utilization.
• Executive Reporting - Build shareable dashboards with high-level KPIs, trend lines, and forecasts for leadership briefings and stakeholder communication.

Integration#

The Advanced Analytics module connects with other Argus modules to provide cross-domain insights:

• Case Management - Track case lifecycle metrics, resolution rates, and workload distribution.
• Alert Management - Monitor alert volumes, escalation patterns, and response times.
• Evidence Management - Analyze evidence processing rates, tagging patterns, and chain-of-custody metrics.
• Entity Management - Compute network centrality and relationship strength across entity graphs.
• OSINT - Track query execution rates and result caching effectiveness.

Last Reviewed: 2026-02-23