Zendesk Talk to Qlik Integration

How Datrise loads Zendesk Talk into Qlik

Datrise syncs Zendesk Talk's calls, agents, queues, call legs, recordings, and call metrics into Qlik as tables loaded into Qlik's associative engine (often via QVD). Flexible or custom fields land in flattened columns for the data model, and timestamps such as created, updated, and status changes are typed as date/time fields.

Sync is incremental: Datrise uses incremental QVD loads merged on stable id, so re-runs update only what changed. QVD files per entity and load date. Qlik's associative model joins on identically named fields, so Datrise standardizes key names so associations link correctly.

Ideal for associative, in-memory exploration in Qlik Sense.

Endpoints

Zendesk Talk: Voice support calls and queue performance.

Qlik: Associative analytics with Qlik Sense apps and governed data models.

How Zendesk Talk entities map to Qlik

Zendesk Talk entity	Qlik object	Notes
calls	`zendesk_talk_calls`	id PK · custom fields → flattened columns for the data model
agents	`zendesk_talk_agents`	id PK · linked to zendesk_talk_calls
queues	`zendesk_talk_queues`	id PK · linked to zendesk_talk_calls
call legs	`zendesk_talk_call_legs`	id PK · linked to zendesk_talk_calls

FAQ

How does Datrise handle Zendesk Talk's custom fields in Qlik?

Flexible values are stored as flattened columns for the data model, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Qlik types.

How does the Zendesk Talk to Qlik sync stay up to date?

It runs incrementally — Datrise uses incremental QVD loads merged on stable id.

Related pipelines

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