QQinfo

Quality (and Trust) Always Rises to the Top

AI and analytics are only as powerful as the data they rely on. Without accurate, consistent, and governed data, even the most advanced AI models can produce misleading results. That’s why data quality isn’t just nice to have — it’s essential.

At Qlik, the customers across the globe rely on their solutions to drive AI-powered insights, optimize decision-making, and mitigate risk. And it all starts with trusted data. That’s why we are happy to announce that, once again, Qlik has been recognized as a Leader in the 2025 Gartner® Magic Quadrant™ for Augmented Data Quality Solutions.

This is the sixth time of receiving this recognition for Qlik, which we believe reaffirms their position as a trusted provider of data quality solutions. But what sets Qlik apart in a crowded market?

Organizations today need more than just isolated tools; they require a unified strategy that ensures their data is not only accessible but also reliable, structured, and optimized for AI-driven initiatives. Qlik is now the only company in the world recognized as a Leader across three key Gartner Magic Quadrants: Analytics & BI Platforms, Data Integration Tools, and Augmented Data Quality Solutions. This recognition underscores the breadth, flexibility, and guidance of the end-to-end portfolio, positioning Qlik as a true full-stack data and AI company — with products integrated into a single, seamless user experience.

A Holistic Approach to Data Quality

For AI and analytics initiatives to deliver meaningful insights, they must be built on a foundation of high-quality data. Many businesses struggle with fragmented and inconsistent data, which can introduce errors and inefficiencies into their decision-making processes. Qlik’s approach embeds proactive data quality capabilities throughout the data lifecycle, ensuring that governance and accuracy are not afterthoughts but integral to every stage — from ingest to insight.

Rather than addressing data issues in isolation, Qlik platform enables organizations to implement ongoing quality enhancements. By leveraging automation, governance frameworks, and AI-driven optimizations, Qlik customers can transition from reactive data management to a model where trust and reliability are built in from the start.

Driving AI Readiness with Innovative Capabilities

AI adoption is accelerating, and businesses need solutions that help them prepare their data for advanced analytics and automation. To meet these demands, Qlik team has been hard at work on innovative capabilities to empower the customers to maintain consistently high data quality. The Qlik Trust Score™ for AI — an integral part of Qlik Talend Cloud — evaluates data readiness for AI applications, providing businesses with clear insights into their data’s reliability. Flexible deployment options ensure that organizations can maintain data quality across cloud, hybrid, multi-cloud, and on-premises environments; while enhanced processing capabilities allow structured and unstructured data to be transformed into actionable insights. Automated remediation further strengthens governance by continuously refining quality controls, reducing manual intervention and promoting efficiency. Additionally, curated data products enable teams to access well-governed, high-trust data assets, expediting AI and analytics initiatives. Finally, Qlik offers advanced integrations with OpenAI and Pinecone for Retrieval Augmented Generation (RAG).

Unlocking AI’s Full Potential with Trusted Data

The true differentiator in AI isn’t just the model — it’s the data fueling it. As organizations scale their AI capabilities, the quality of their data becomes an even larger competitive advantage. Qlik believe its recognition by Gartner reinforces the value of a comprehensive data strategy — one that integrates quality at every stage of the data lifecycle and enables businesses to make decisions with confidence.

You can download your complimentary copy of the Gartner Magic Quadrant report here.