Automated flagging of outlier cases or trends

Purpose

1. Identify and flag abnormal spikes, trends, or outlier cases within reports, incident logs, or service requests involving animal control, hazardous animal reports, bite incidents, or compliance deviations.

2. Promptly alert supervisors or designated teams to investigation-needing anomalies, helping ensure regulatory compliance, community safety, and operational efficiency.

3. Generate informative analytics, trend visualizations, and actionable insights for review and improvement of animal control operations.

Trigger Conditions

1. Entry of new data in case management, field officer reports, or incident logs.

2. Data points exceeding specific numeric thresholds (e.g., more than 5 animal bite cases per day in a district).

3. Unusual patterns in time series (e.g., sudden rise in complaints in specific locations within 24 hours).

4. Machine learning-detected anomalies, such as outlier geolocations or uncharacteristic animal types.

Platform Variants

1. Microsoft Power Automate

• Action: Configure "Monitor changes in SharePoint List" and "If/Condition" for threshold triggers.
  

2. Google Cloud Functions

• Function: Use anomaly detection on dataset using Cloud Functions with Pub/Sub trigger.
  

3. AWS Lambda

• Trigger: Connect to event in DynamoDB Streams; use Python for data evaluation and flag creation.
  

4. Zapier

• Zap: "New Record in App" → "Formatter" for anomaly logic → "Alert" (Slack/Email/Webhook).
  

5. Salesforce

• Process Builder/Flow: Set up a flow that flags and notifies on exceeding case count rules.
  

6. Slack

• Workflow: Script custom workflow that sends alerts when new flagged case messages arrive in a monitored channel.
  

7. Twilio SMS

• API: Configure “Messages” endpoint to deliver SMS alerts to animal control supervisors when a case flag is triggered.
  

8. SendGrid

• API: Use “Mail Send” endpoint to email compliance officers on flagged outlier events.
  

9. Tableau

• Feature: Use set actions and dashboard alerts to call attention to dashboards exceeding preset limits.
  

10. Google Sheets

• Apps Script: Write script to scan new rows for anomalies and add ‘Flagged’ status for outlier data.
  

11. Monday.com

• Automation: Set up rules for “When column value exceeds X, create alert or task.”
  

12. ServiceNow

• Business Rule: Configure back-end rule to scan for outlier cases in incident forms and send notifications.
  

13. Notion

• Integration: Use Notion API to search new entries for statistical outliers and update a “Flag” property.
  

14. Airtable

• Automation: Use scripting block to run anomaly tests and create linked flagged-report records.
  

15. IBM Watson Studio

• ML Model: Deploy anomaly detection to analyze incoming data; trigger notifications through webhook.
  

16. Splunk

• Alert Rule: Set up “Saved Search” for outlier patterns and automatic incident creation.
  

17. PagerDuty

• Event Rule: Set logic parameters on Events API to generate incidents on threshold crossings.
  

18. SAP Integration Suite

• Integration Flow: Configure mapping and scripting step to check for case flag criteria in animal control data.
  

19. Oracle Integration Cloud

• Process: Build rule-driven process to monitor incoming reports and flag outliers for follow-up.
  

20. HubSpot

• Workflow: Set criteria in workflow automation to tag records as flagged and notify assigned staff.
  

Benefits

1. Rapid response to potential threats, protecting public safety.

2. Consistent compliance with regulations and internal policy.

3. Improved resource allocation and prioritization.

4. Actionable reporting for management and auditors, reducing manual review.

5. Enhanced trust from community due to timely and transparent handling of unusual cases.