EVENT_AGENT_LOGIN_LOGOUT
Updated
This dynamic table captures detailed information about agent login and logout activities within the system. It includes timestamps, session identifiers, IP addresses, and status details to help track agent sessions, monitor activity, and support auditing or troubleshooting. Below are some of the scenarios where this Report is beneficial:
Agent Attendance and Schedule Monitoring: Track agent login and logout times to measure availability, adherence to schedules, and workforce coverage across shifts.
Session Auditing and Security Analysis: Monitor agent sessions, IP addresses, and login activities to support security auditing, compliance reporting, and investigation of unauthorized access.
Operational Performance and Troubleshooting: Analyze session durations, login failures, and logout patterns to identify connectivity issues, system inefficiencies, and opportunities to improve agent productivity.
Field Mapping/ Glossary
The report will include the following information:
Field Name | Description | Data Type | Nullable & Default Value | PII Field | Unique Key |
RECORD_ID | Unique identifier for the combined login/logout record. | VARCHAR | No | No | Yes |
AGENT_ID | Unique identifier of the agent associated with the login/logout a | VARCHAR | No | No | No |
IP_ADDRESS | IP address from which the agent logged in or out. | VARCHAR | Yes | Null | Yes | No |
LOGOUT_COMMENTS | Additional comments or notes provided at the time of logout. | VARCHAR | Yes | Null | No | No |
LOGIN_STATUS | Status of the login session (e.g., Logged In, Logged Out, Failed). Sample Values: USER_LOGGED_IN, USER_LOGGED_OUT. |
VARCHAR |
No |
No |
No |
LOGOUT_REASON | Reason captured for the agent logout (e.g., manual, timeout, s | VARCHAR | Yes | Null | No | No |
AGENT_SESSION_ID | Unique identifier representing a continuous agent login session | VARCHAR | No | No | No |
Intended Use and Prohibited Uses
DataStream is intended solely to support operational efficiency, service delivery, business intelligence, and process optimisation. The product is not designed or intended for employee monitoring, workplace surveillance, performance evaluation, profiling of individuals, or making decisions that materially affect an individual's employment, rights, opportunities, or access to services.
DataStream does not process biometric data for the purpose of identifying individuals and does not perform emotion recognition, affect detection, or emotion inference in the workplace.
Customers must not use DataStream in a manner inconsistent with these intended purposes and remain responsible for ensuring compliance with applicable legal and regulatory requirements as well as with Sprinklr's Acceptable Use Policy.