Day.ai to Qlik Integration
AI-first ETL from Day.ai into Qlik. Governed entities, incremental sync, typed landing tables.
How Datrise loads Day.ai into Qlik
Datrise syncs Day.ai's contacts, companies, meetings, opportunities, AI summaries, and relationship signals 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
Day.ai: CRM that builds records from meetings and email automatically.
Qlik: Associative analytics with Qlik Sense apps and governed data models.
How Day.ai entities map to Qlik
| Day.ai entity | Qlik object | Notes |
|---|---|---|
| contacts | day_ai_contacts | id PK · custom fields → flattened columns for the data model |
| companies | day_ai_companies | id PK · linked to day_ai_contacts |
| meetings | day_ai_meetings | id PK · linked to day_ai_contacts |
| opportunities | day_ai_opportunities | id PK · linked to day_ai_contacts |
FAQ
How does Datrise handle Day.ai'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 Day.ai to Qlik sync stay up to date?
It runs incrementally — Datrise uses incremental QVD loads merged on stable id.
Related pipelines
More destinations for Day.ai
Early access
Connect Day.ai to Qlik the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.