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User activity log data

 

User activity log data refers to records that capture details about user actions and interactions within a software application, system, or platform. This data is typically generated automatically by software systems to monitor, track, and audit user activities for purposes such as system performance analysis, troubleshooting, security monitoring, compliance, and user behavior analysis.

Examples of user activity log data include the following:

  • Authentication and login events: Logs capturing user authentication actions like login, logout, or password reset
  • Navigation and page views: Logs tracking user navigation patterns and viewed pages in a web or mobile application
  • Data creation, modification, and deletion: Logs documenting user actions that create, update, or delete data
  • Search and query activities: Logs capturing user search queries or database queries
  • System configuration changes: Logs recording user actions that alter system configurations or settings
  • File or resource access: Logs tracking user access to files, documents, or other system resources
  • Application error or crash reports: Logs documenting errors or crashes triggered by user activities
  • API or system interaction logs: Logs tracking user-triggered API calls or interactions with backend systems

User activity logs often contain sensitive information and must be handled in compliance with privacy regulations like GDPR, HIPAA, or CCPA. Logs should be anonymized or pseudonymized where necessary. These logs are typically stored in structured formats (for example, JSON, log files, databases) and analyzed using tools like Splunk, ELK (Elasticsearch, Logstash, Kibana), or custom analytics systems. Organizations typically define retention policies for log data to balance storage costs with compliance and operational needs.

Before looking at documentation for specific data sources, review the Splunk Docs information on general data ingestion: