EVENT_VOICE_CALL_PROCESSING

Updated 

The EVENT_VOICE_CALL_PROCESSING dynamic table captures detailed information about voice call handling and processing, including call recordings, audio quality metrics (MOS scores), disconnect reasons, and transcript-related data such as advisor and customer words. It also stores enrichment details, intent extraction, and timestamps for recording events. This table is designed to enable comprehensive analysis of voice interactions, improve call quality monitoring, support compliance through recording management, and provide insights into customer-agent conversations for operational and CX optimization. Below are some of the scenarios where this Report is beneficial:

  • Call Quality and Connectivity Monitoring: Analyze MOS scores, audio quality indicators, and disconnect reasons to identify call-quality issues and improve voice service reliability.

  • Conversation and Intent Analysis: Examine advisor and customer speech data, extracted intents, and enrichment details to understand conversation trends and identify common customer needs.

  • Recording Compliance and Operational Auditing: Track call recordings and associated timestamps to support recording governance, compliance monitoring, and investigation of voice interactions.

Field Mapping/ Glossary

The report will include the following information:

Expected Name 

Definition 

Data Type 

Nullable & Default Value 

PII Field 

Unique Key 

RECORD_ID 

Unique identifier of the record. 

VARCHAR 

No 

No 

Yes 

ACW_AUTO_WRAP_FAILURE_NODE_ID 

Identifier for the ACW auto-wrap failure node. 

VARCHAR 

Yes, NULL 

No 

No 

ACW_AUTO_WRAP_FAILURE_REASON 

Reason why the ACW auto-wrap process failed. 

VARCHAR 

Yes, NULL 

No 

No 

AGENT_ID 

Unique identifier of the agent. 

VARCHAR 

Yes, NULL 

No 

No 

CALL_RECORDING_DELETED_BY 

User who deleted the call recording. 

VARCHAR 

Yes, NULL 

No 

No 

 

CALL_RECORDING_DELETION_TYPE 

Type of deletion performed on the recording. 

Sample Value: post call, live call (cancel button) 

 

VARCHAR 

 

Yes, NULL 

 

No 

 

No 

CALL_SEGMENTS_URL 

URL containing the call recording segments. 

VARCHAR 

Yes, NULL 

No 

No 

CONVERSATION_ID 

Unique identifier of the conversation. 

VARCHAR 

No 

No 

No 

DISCONNECT_REASON 

Reason why the call was disconnected. 

VARCHAR 

Yes, NULL 

No 

No 

DISCONNECT_SUB_TYPE 

Specific subtype explaining the disconnection. 

VARCHAR 

Yes, NULL 

No 

No 

DISCONNECT_TYPE 

Category/type of call disconnection. 

VARCHAR 

Yes, NULL 

No 

No 

 

 

 

 

ENRICHMENT_TYPE 

 

 

Type of enrichment applied to the call or transcript. Sample Values: CALL_SEGMENTS, DISCONNECT_DETAILS, RECORDING_CREATION 

 

 

 

 

VARCHAR 

 

 

 

 

No 

 

 

 

 

No 

 

 

 

 

No 

PROCESS_DEF_ID 

Identifier of the process definition used. 

VARCHAR 

Yes, NULL 

No 

No 

RECORDING_ID 

Unique identifier of the call recording. 

VARCHAR 

Yes, NULL 

No 

No 

RECORDING_SNIPPET_TYPE 

Type of the recording snippet extracted. 

VARCHAR 

Yes, NULL 

No 

No 

STARTED_BY_AGENT_ID 

Agent ID who initiated the recording. 

VARCHAR 

Yes, NULL 

No 

No 

STOPPED_BY_AGENT_ID 

Agent ID who stopped the recording. 

VARCHAR 

Yes, NULL 

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.