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Qlik, a leader in data integration, data quality, analytics, and AI, has once again been positioned as a Leader in the 2026 Gartner® Magic Quadrant™ for Augmented Data Quality Solutions. This marks the company’s seventh year receiving this distinction, reflecting its ongoing commitment to helping organizations ensure consistent, complete, and trusted data essential for scaling AI confidently.
As AI shifts from recommendation to initiation and action across systems, poor data quality—gaps, inconsistencies, unstructured inputs—creates unreliable models, biased outcomes, and heightened risk. Qlik addresses this by embedding proactive quality and governance into data pipelines, ensuring AI operates with high-trust data from the start.
“We’re entering an era where AI does more than recommend, it initiates and acts, often across systems and workflows,” said Matt Hayes, General Manager, Data Business Unit, Qlik. “That makes data quality and governance a practical requirement, not a technical preference. Organizations need to understand what data they have, how it’s changing, and whether it’s fit for use, so AI can operate with the right guardrails and accountability.”
Qlik’s platform leverages active metadata and lineage for transparency, accelerates troubleshooting, and applies AI-augmented automation to speed preparation, matching, and remediation—reducing manual effort while improving consistency and domain readiness.
About Qlik
Qlik helps teams get more out of AI with data they can rely on and control. It delivers trusted data products, a powerful analytics engine, and AI agents. This helps teams reduce risk, keep operating costs in check, and scale AI responsibly as needs evolve. Used by 75% of the Fortune 500, Qlik supports customers worldwide. Qlik works with the systems and partners customers already use, so teams can stay flexible without lock-in.
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