Qlil has been recognised as a Leader in the 2025 Gartner Magic Quadrant for Augmented Data Quality Solutions, marking its sixth time receiving this recognition.
“With AI models increasingly commoditised, the true differentiator is data quality,” says Mike Capone, CEO of Qlik. “Companies that invest in governance and integrity will extract the most value. This recognition from Gartner validates what we see – AI success depends on trusted data.”
AI models require consistent, complete, and trusted data to generate accurate insights, yet many organisations struggle with gaps, inconsistencies, and unstructured inputs that undermine AI’s effectiveness. Poor data results in unreliable models, biased predictions, and heightened operational risk.
“Organisations need more than standalone data quality tools – they need a complete data strategy that ensures integrity at every stage,” says Drew Clarke, GM and executive vice-president: data business unit at Qlik. “Qlik Talend Cloud enables enterprises to embed trust into their data, analytics, and AI workflows, turning fragmented data into a reliable asset.”
By enabling proactive, governed data pipelines, Qlik ensures AI systems operate with high-trust data from the start, allowing businesses to scale AI with confidence.
AI is driving demand for next-generation data quality solutions that go beyond basic cleansing. With innovations like the Qlik Trust Score™ for AI, retrieval-augmented generation (RAG) support, and automated data remediation, businesses can move from reactive fixes to continuous, AI-powered data optimisation.