Linking related incidents and cases for pattern detection

Purpose

1. Automate the detection of patterns by linking related incidents and cases in law enforcement databases, integrating disparate records to expedite criminal investigations, prevent recurrences, and support advanced analytics.

2. Provide automated, real-time association between similar or connected incidents (e.g., modus operandi, suspect profiles, geolocation data), aiding investigators and analysts.

3. Enable law enforcement to automate alerts on emerging crime trends, recidivism risks, or cross-jurisdictional case overlaps.

4. Centralize automated evidence correlation for judicial transparency, data-driven decision making, and resource allocation.

Trigger Conditions

1. New incident or case creation in police management system.

2. Update or entry of key metadata, e.g., location, suspect name, method, date/time.

3. Automated ingestion of external intelligence feeds, e.g., national crime databases.

4. Manual flagging for review or automated rules (e.g., keyword match, geo-fencing).

5. Scheduled automated sweeps for historical pattern recognition.

Platform Variants

1. Salesforce

• Feature/Setting: Configure Case Management API for upsert and query with automated triggers on case creation/update.
  

2. Microsoft Dynamics 365

• Feature/Setting: Use Common Data Service and Power Automate to automate incident linking flows.
  

3. ServiceNow

• Feature/Setting: Activate Flow Designer for automated condition-based incident relationship rules.
  

4. IBM i2 Analyst's Notebook

• Feature/Setting: Enable automated import of incidents and configure entity matching for visual link analysis.
  

5. SAP Business Technology Platform

• Feature/Setting: Use SAP Integration Suite for automated data mapping and orchestration of related case detection.
  

6. Oracle Cloud CX

• Feature/Setting: Utilize automated Case Management REST API and Process Automation.
  

7. ElasticSearch

• Feature/Setting: Automate index searching via Elastic Query DSL for similarity and relationship detection automation.
  

8. Splunk

• Feature/Setting: Automate correlation searches and alerting for related event detection.
  

9. Palantir Foundry

• Feature/Setting: Automate Data Lineage and Foundry Pipelines for cross-database case linking.
  

10. AWS Lambda

• Feature/Setting: Automator function triggers on S3 uploads or DynamoDB changes to automate relationship extraction.
  

11. Google Cloud Functions

• Feature/Setting: Automate triggers on Firestore/BigQuery insertions for on-the-fly case linking.
  

12. Azure Logic Apps

• Feature/Setting: Automated workflows for incident updates, orchestrating actions across government data stores.
  

13. OpenText Magellan

• Feature/Setting: Automate content analytics for pattern detection in case narratives.
  

14. Cisco Kinetic for Cities

• Feature/Setting: Automates cross-incident linking from IoT/edge data streams.
  

15. MarkLogic

• Feature/Setting: Automated semantic search and relationship extraction from policing XML/JSON data.
  

16. Tyler Technologies' Enterprise Public Safety

• Feature/Setting: Automated rules engine for incident merging and pattern alerts.
  

17. Hexagon Safety & Infrastructure

• Feature/Setting: Automate data correlation and incident association via APIs.
  

18. NICE Investigate

• Feature/Setting: Use automated case relationship graph and event ingestion settings.
  

19. Genetec Clearance

• Feature/Setting: Automated media and incident tagging for related case discoverability.
  

20. Everbridge

• Feature/Setting: Automate alert grouping and incident linking via Incident Management API.
  

21. IBM Cloud Pak for Data

• Feature/Setting: Use automated workflows for data integration and relationship analytics.
  

22. Accenture Police Center of Excellence Solutions

• Feature/Setting: Enable automated case clustering and prediction engines.
  

Benefits

1. Automates manual case association, reducing investigator workload.

2. Improves speed and accuracy of pattern detection and crime prevention.

3. Enables automated reporting and statistical analysis for higher-level decision-making.

4. Enhances public safety via automated, timely cross-agency threat awareness.

5. Reduces duplicative investigative effort through automatedly identified links.

6. Supports compliance and auditability with automated relationship logs.

7. Drives cost savings through scalable, automatable processes.