iceDQ for Qlik Sense Testing

Deliver Qlik reports that business can trust.

Bad data in reports leads to bad decisions. Manual report testing is slow, inconsistent, and impossible to scale across hundreds of dashboards.

Protect your credibility. Use iceDQ’s automated data testing capabilities to certify your Qlik Sense apps by validating the data within sheets and visualizations against underlying databases and files — quickly, consistently, and at scale.

Test Qlik Sense App & Sheet in iceDQ

iceDQ connects directly to your Qlik Sense environment so you can validate app data before it reaches decision makers. The workflow includes:

Embed Qlik Sense apps: Securely connect and embed apps and sheets to enable automated validation of the datasets behind your visualizations.
Select a visualization: Choose the sheet or specific visual you want to test and validate the data powering it.
Apply dynamic selections: Use selections, alternate states, or bookmarks to replicate real user scenarios and validate filtered outputs.
Create data checks: Define and run data quality checks on tables, KPIs, measures, and calculated dimensions to ensure accuracy and consistency.

Test Qlik Sense App & Sheet in iceDQ

iceDQ connects directly to your Qlik Sense environment so you can validate app data before it reaches decisionmakers. The workflow includes:

Embed Qlik Sense apps: Securely connect and embed apps and sheets to enable automated validation of the datasets behind your visualizations.
Select a visualization: Choose the sheet or specific visual you want to test and validate the data powering it.
Apply dynamic selections: Use selections, alternate states, or bookmarks to replicate real user scenarios and validate filtered outputs.
Create data checks: Define and run dataquality checks on tables, KPIs, measures, and calculated dimensions to ensure accuracy and consistency.

Qlik Data Reconciliation

iceDQ reconciles data across sources and reporting layers to ensure the values shown in your Qlik Sense app match the data at the source. The workflow includes:

App vs. Data Source: Compare Qlik Sense app data with the underlying database, warehouse, file, or cloud source to confirm that transformations, aggregations, and business logic are applied correctly.
App vs. App: Reconcile values between two Qlik Sense apps across spaces, environments, or platforms to ensure consistent KPIs, aggregates, and metrics.
Row and Column Level Comparison: Perform granular checks on individual records and aggregated values to detect mismatches, missing data, or calculation errors.

Qlik Data Validation & Checks

iceDQ lets you build and run validation rules directly against the data powering your Qlik Sense app, catching issues before they affect downstream analytics. The workflow includes:

Enforce business logic: Create custom rules that validate app data against organizational standards, domain requirements, and expected behaviours to ensure every Qlik Sense app produces trustworthy results.
Validate Qlik Sense app attributes: Verify metadata, applied selections, saved bookmarks, and sheet structure to confirm the app is configured correctly.
Ensure format consistency: Validate data types, number formats, date formats, and display conventions across your visualizations to maintain a consistent and reliable experience.
Validate measures and expressions: Test measures, set expressions, KPIs, and aggregations by comparing results with expected logic or reference datasets.

PRODUCT HIGHLIGHTS

	Complete Report-to-Source Coverage:		Automate testing across your Qlik Sense from app, sheets and visualization all the way back to the underlying data source.
	Embed Reports:		Shift left with data testing — identify defects early, long before they reach business users.
	No-code Testing:		Eliminate scripting. Build and execute tests with just a few simple clicks.
	Selections & Bookmark Support:		Natively apply dynamic selections and bookmarks to validate data under real-world user conditions.