BI & Analytics
Qlik integration with Feedback Analytics: feedback and operational data in one analytics layer
Feedback Analytics captures feedback and turns it into insight and follow-up. Qlik is where you place those signals next to revenue, throughput, and process KPIs: dashboards and reports your data and BI teams already explore. You spot outliers faster in the same analytics cadence as the rest of the business: feedback, insight, action.
Why this integration
Feedback that never reaches BI rarely gets the same attention as operational metrics. Loading Feedback Analytics data into sources Qlik reads makes NPS, CSAT, and themes part of your standard reporting and associative exploration.
Definitions still matter: what a score means, which segments apply, and what follow-up already runs in Feedback Analytics. Qlik helps you see patterns; Feedback Analytics remains where feedback is measured and turned into action.
What you can do with Feedback Analytics + Qlik
Feedback Analytics supplies trusted feedback and context; Qlik turns it into integrated reports and dashboards on top of your business data.
| Reporting | Include responses, scores, and labels in the same apps and publications as other KPIs. |
|---|---|
| Trends and regions | Compare scores and volume over time and by region, site, or segment next to operational differences you already track. |
| Blend operational data | Join feedback with lead time, utilization, orders, or defect rates where modeled. |
| Richer dashboards | Add feedback views and drill paths to existing Qlik apps instead of pasting one-off exports. |
| Find signals faster | Use associative exploration to surface combinations hidden in siloed tools, with refreshes driven by your load schedule. |
| Technical shape | APIs, exports, and BI connectivity into your warehouse, lake, or standard tables, aligned with ETL and access policies. |
Practical use cases
- Operational steering: feedback next to production, logistics, or service KPIs by site.
- Regional comparisons: NPS or CSAT differences with the same filters as revenue or case volume.
- Leadership reporting: monthly or quarterly views where feedback KPIs sit beside financial and operational numbers.
- Outliers: spot where scores drop while operational pressure rises, or the reverse.
- Improvement programs: track themes from open feedback next to quality or project indicators.
Who it is for
Data and BI teams modeling feedback like any other governed source. Operations and management steering by region and site on one data model. Anyone who wants feedback in the same analytics as the rest of the business.
How the connection works
Configure surveys and logic in Feedback Analytics; use API access or exports for downstream processing.
Land data in a source Qlik can consume: scheduled exports, pipelines to a database or warehouse, or your existing BI connectivity. Build models and visualizations in Qlik. Feedback Analytics stays where feedback is captured, interpreted, and followed up before it becomes a BI metric.
Why Feedback Analytics as the central feedback layer?
Feedback Analytics covers collection through action: flows and action lists, not one-off surveys.
The fields you use in Qlik then have lineage and meaning, not only flat numbers.
Want to align this with your Qlik Sense or Cloud setup, sources, and permissions? Request a demo: we can walk through your first use case and data paths with data and BI teams.
FAQ
Does Qlik replace Feedback Analytics?
No. Qlik is BI and analytics; Feedback Analytics is where feedback is captured and turned into follow-up.
Do we need Qlik Sense or Qlik Cloud?
The integration is about the data Qlik consumes; your Qlik edition is an organizational choice. What matters is structured feedback data in an authorized source.
What about privacy?
Load only fields needed for analysis, document purposes and retention, and align Qlik and source access with roles and GDPR commitments.
Can we analyze NPS and CSAT together?
Yes, if both are modeled with shared time and dimension fields for consistent comparisons.
