Qlik has been named a Leader in the 2026 IDC MarketScape: Worldwide Data Intelligence Platform Software Vendor Assessment. The recognition highlights Qlik’s approach to data intelligence, combining data quality, lineage, governance, and business context to support analytics and AI applications.

Measuring Data Trust and Fitness

Qlik’s platform includes Qlik Talend Trust Score and Qlik Trust Score for AI, which use metadata-driven signals such as data quality, freshness, and usage to help organizations determine whether data is suitable for a particular business or AI use case.

Data teams can also identify and address issues such as inconsistent, duplicate, or outdated information before it reaches reports, applications, or AI systems.

End-to-End Data Lineage

Qlik provides metadata connections designed to trace data from its original source through transformations and downstream applications.

The company says more than 275 native metadata bridges support lineage across technologies including databases, SQL, stored procedures, dbt, Spark, semantic layers, and business intelligence tools.

This allows teams to understand how changes to source data could affect reports, data products, analytics, or AI applications.

Bringing Governance Into AI and Analytics

Qlik connects governed data products with business definitions and access controls so organizations can carry consistent context into analytics and approved AI tools.

Data products can include information such as:

• Data ownership

• Quality information

• Lineage

• Access controls

• Business definitions

• Governed KPIs and metrics

Qlik also supports controlled access through MCP and OData APIs, allowing governed data and business context to be used by connected AI applications.

Supporting Cloud, On-Premises, and Hybrid Environments

The platform is designed to operate across cloud, on-premises, and hybrid data environments. This allows organizations to introduce data intelligence capabilities without necessarily moving their entire data infrastructure to a single platform.

Data Intelligence for AI Readiness

Qlik’s broader approach focuses on making data quality, provenance, governance, and business meaning visible before that data is used by analytics systems or AI.

The company’s positioning reflects a growing enterprise requirement: organizations need not only access to data, but also evidence about where the data came from, how it has changed, how trustworthy it is, and whether it is appropriate for a particular AI or business decision.