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Qlik Delivers Secure, Open Access to Trusted Data in Any Tool
(MENAFN- Active DMC) Dubai, November 20, 2025 - Qlik®, a global leader in data integration, data quality, analytics, and artificial intelligence (AI), today announced new capabilities in Qlik Talend Cloud® that make trusted data easy to use across the business. Data teams can publish secure, standards-based API endpoints for governed data products with one click, automatically document fields at scale, and use an AI assistant to propose data-quality rules.
For data and analytics teams, the release delivers clear, measurable gains:
• Publish faster: Share governed data using a secure, open API so teams can use it in Power BI, Tableau, Excel, Salesforce, and internal apps.
• Document at scale: Auto-describe dataset fields to improve discoverability for business users and reduce manual documentation work.
• Raise quality quickly: Use an AI assistant to suggest and create data quality rules based on the profile of the data, covering more checks with less effort.
• Resolve issues together: Run agentic-enabled, sprint-style remediation and collaborative validation with domain experts, so business, data, and AI teams solve problems quickly and visibly.
“Customers want flexibility. If your best data is stuck in one tool, it becomes a bottleneck,” said Drew Clarke, EVP, Product & Technology, Qlik. “Open, standards-based APIs let customers use the same governed data wherever work happens. AI-driven stewardship removes repetitive tasks and helps teams deliver trusted outcomes faster.”
Data Product APIs are built on open standards and are available now. Auto-describe fields and the DQ Rule Assistant are rolling out, and the Data Stewardship Early Access program is enrolling today. Start a trial at our website, Qlik Talend Cloud or learn more on our Data with Data Quality and Governance page.
For data and analytics teams, the release delivers clear, measurable gains:
• Publish faster: Share governed data using a secure, open API so teams can use it in Power BI, Tableau, Excel, Salesforce, and internal apps.
• Document at scale: Auto-describe dataset fields to improve discoverability for business users and reduce manual documentation work.
• Raise quality quickly: Use an AI assistant to suggest and create data quality rules based on the profile of the data, covering more checks with less effort.
• Resolve issues together: Run agentic-enabled, sprint-style remediation and collaborative validation with domain experts, so business, data, and AI teams solve problems quickly and visibly.
“Customers want flexibility. If your best data is stuck in one tool, it becomes a bottleneck,” said Drew Clarke, EVP, Product & Technology, Qlik. “Open, standards-based APIs let customers use the same governed data wherever work happens. AI-driven stewardship removes repetitive tasks and helps teams deliver trusted outcomes faster.”
Data Product APIs are built on open standards and are available now. Auto-describe fields and the DQ Rule Assistant are rolling out, and the Data Stewardship Early Access program is enrolling today. Start a trial at our website, Qlik Talend Cloud or learn more on our Data with Data Quality and Governance page.
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