Most governance conversations start with the wrong question. "Which catalog should we use?" treats the problem as an inventory challenge, but governance isn't just about knowing what data you have. It's about making that data trustworthy when it moves.
In this article, Don Pinto & Chris Ortega break down the difference between context capture — inventorying schemas, tracing lineage, classifying assets — and context delivery: publishing trusted data products with live trust signals, enforcing contracts, and routing governed data to the analytics and AI agents that depend on it. Both matter. They're not the same thing.
Not all catalogs are governance tools, and not all governance programs deliver outcomes. Learn the difference between context capture and context delivery — and what it takes to make governance actually work.
Smarter Data, More Flexible Analytics, Better User Experiences
We’re excited to introduce the May 2026 release of Qlik Sense Enterprise on Windows (client-managed). This release delivers meaningful enhancements across data scripting, visualization flexibility, and user experience helping your teams move faster from data to insight while improving performance, governance, and usability.
Below is a breakdown of what’s new, why it matters, and how your teams can benefit.
It's May — and just like a certain galaxy far, far away, things are heating up. The Qlik Replicate May 2026 Technical Preview has landed, and it's ready for you to put through its paces.
Most enterprise AI projects don’t fail because the model is wrong. They fail because the data isn’t ready. Data engineering leaders are now being asked to support a new wave of generative and agentic workloads that demand fresher data, broader source coverage, tighter governance, and richer context than traditional BI ever required — and to deliver it without growing the team.
Qlik Talend Cloud Data Integration was built to close that gap. It provides a single, governed pipeline from operational sources to an open lakehouse — and on to the vector indexes, feature stores, and APIs that your AI systems actually consume. Combined with Qlik Open Lakehouse on Apache Iceberg, it turns your AI inputs into reusable AI data products: named, versioned, governed assets that any RAG application or agent can consume off the shelf.
This post walks through the reference architecture, the pipeline that produces those data products, and a worked example that takes raw CRM and product data all the way to a working RAG copilot and an agentic workflow — both running off the same Iceberg foundation.
Talend Studio now connects natively to Qlik Open Lakehouse — query Iceberg-managed data directly from your existing Standard and Big Data jobs, with no manual JDBC configuration required. Learn how this integration works and what it means for your data workflows.
Spotimportant changesin your dataandtake action
Organizations today rely heavily on dashboards. But dashboards only work when someone goes looking.
In reality, businessdata changes constantly. Metricsshift,patterns evolve, and important signals often hide within complex combinations of dimensions. Teams simplydon’thave time to check every chart every day.In many cases bythe time someone notices an issue, the window to act may already be closing.
Traditional alertingdoesn’tsolve the problem either. Rules-based alerts rely on rigid thresholds, predefined logic, and ongoing maintenance. They only detect the changes you expect to see.
But what about the changes youdidn’tknowto look for?
That’swhywe’reexcited to introduceour newDiscovery Agent.
Move from reactive monitoring to proactive insight
Discovery Agentautonomouslymonitorsyour data toidentifymeaningful changes the moment they happen.
Instead of relying on manual dashboard checks orrigidalert rules, Discovery Agent works behind the scenes to scan your Qlik Cloud applications and surface the insights that matter most.
It automatically detects signals such as:
Spikes and sudden drops
Meaningful trend shifts
Record highs or lows
Changes in baseline behavior
Forecast divergence
Potential data quality issues
Rather than flooding users with alerts, Discovery Agent evaluates statistical significance and prioritizes only the most meaningful insights.And with directlinking to Qlik Answers, you can use AI to explore insights further.
The result:teams see what matters first and can respond faster.
A new way to stay on top of your business
Discovery Agent transforms how organizationsmonitorperformance.
Discovery Agentpushes prioritized insights directly to users through an intelligent feed and digest.
Each detected change is summarized in clear, readable language so users can quickly understand:
What changed
Where it happened
Why it matters
This dramatically reduces the time analysts spend manually checking metrics and helps organizations stay ahead of emerging issues and opportunities.
See Discovery Agent in action
You can explore how Discovery Agent works through this interactive walkthrough.
The demo shows how Discovery Agent automatically detects anomalies, surfaces the most relevant insights, and enables users toimmediatelyexplore further inside Qlik apps.
Built on the power of the Qlik Analytics Engine
Discovery Agent is uniquely powerful because it is built directly on theQlik Analytics Engine,the technology at the heart of Qlik thatpowers ouranalytics experience.
Theengineallows Discovery Agent to analyzemetricsand spot anomaliesacrosswide combinations of dimensionvalues,for entire data models,at high speedand scale,and at a fraction of the cost of SQL-based approaches. The engine evaluates relationships across the full dataset and supports rapid analytical calculations at scale, enablingpowerfulAI-driven discoveryoncomplex business data.
With the Qlik analytics engine, Discovery Agent can:
Analyze complex dimensional combinations quickly
Detect patterns traditionalanalyticsmiss
Scale efficiently across large data models
Deliver insights withoutimpactingapp performance
This approach makesautonomousmonitoringpossibleeven for large enterprise environments.
From anomaly detection to agentic intelligence
Discovery Agent is an important part of Qlik’sagenticexperience.
Within Qlik’s evolving agentic AI architecture, specialized agents collaborate to transform data into action. Discovery Agent plays a key rolebymonitoringdata and surfacinginsightsthat other agents can reasonand act on.
Over time,we plan to further integrate Discovery Agentinto our agentic systemsoyou can:
Interact with Discovery Agent throughQlik Answers
Use insights to triggerautomation workflows
Deliver insights through email and third-party integrations
Participate in broader multi-agent analytics processes
This moves organizations beyond traditionalanalyticstowarda proactive, intelligentagenticenvironmentwhere AI helpsmonitorand interpret data continuously.
Get started now
Discovery Agent is now available inQlik Cloud Analytics, bringing proactive, AI-driven monitoring directly into your analytics workflows.Try it out now.
Resources to learn more:
Discovery Agent| Qlik.com
What’s New in Qlik Cloud| Qlik Help
How to Make Data Work for Agentic AI| Blog
Data Products for Analytics| Blog
Qlik Brings Agentic Analytics to General Availability and Launches MCP Server for Third-Party Assist...| Press Release
Using Agentic AI to Make Sales Team Unstoppable| eBook
Agentic AI| Qlik.com
Why Qlik for AI| Qlik.com
...View More
In a market racing toward AI-driven outcomes, organizations are discovering a simple truth: AI is only as reliable as the data behind it.
For years, governance has often been treated as a passive function — metadata in a catalog, rules defined in isolation; data issues addressed reactively. That approach doesn’t hold up in an AI-first world.
It’s time for governance to move from passive oversight to active stewardship — embedded, accountable, and operational at the speed of the business.
Bringingtrusted, AI-ready data products directly into Qlik Cloud Analytics
Data Products for Analytics are now available in Qlik Cloud Analytics Premium and EnterpriseandQlik Sense Enterprise SaaS.
With this release,youcanturn your existing QVDs and datasets into governed,discoverable, andreusabledata products, addingdataquality, context, andownership directly within your analytics environment.
See how data products turn existing datasets into trusted, reusable assets for analytics and AI:
Stronger foundation for analytics and AI
AI is only as effective as the data it relies on. As AI becomes more a part ofeverydayworkflows, the reliability of the underlying data foundation becomes more critical.
Data Products for Analytics help ensure that AI assistants, agents, and applicationsoperateon datasets that arevalidated, explainable, and aligned with the rest of your business. ThroughQlik MCP server, AI can accessyourtrusted data products,establishinga reliable foundation for responsible, scalable AI and agentic workflows.
This shared foundation connects analytics, automation,and AI,so every insight is consistent and trusted.
Turn trusted data into trusted insight
This release brings data quality and governance directly into everyday analytics workflows, so you can move faster with confidence.
Data products and data quality capabilities are now accessible fromyouractivity center, making it easy to manage.Buildand launchapplications and other analytics assets fast, right fromdata products with just a few clicks.
Easily see businesscontext, data quality indicators, and theQlik Trust Scoreto help you quickly understand whether data is ready to use.Ownership, lifecycle management, and end-to-end-lineage provide transparency and accountabilityto have confidencein your data.
Withdataproducts, teams can move faster from data to insight,reducing preparation time and accelerating analytics app development.
Find and reusetrusteddata, faster
Data productsmake it easier to discover and reuse analytics-ready data across your organization.
You can browse certified, domain-focused data products under your centralized data marketplace to quicklyidentifythe right asset using business descriptions, usage context, and visible quality and trust indicators.AI-generated summaries and field descriptionsmake iteasier tounderstandcontents in adatasetfaster and reduce the timespentsearching anddocumentingsources.
By making trusted data easy to find and reuse across analytics, applications, and AI workflows, teams can avoid redundant data preparation and duplicated effort.Get insightsfasterandturn existing data investments into a scalable foundation that supports consistent results across the business.
Get Started
Resources to learn more:
What’s New in Qlik Cloud | Qlik Help
Working with data products| Qlik Help
Data Products| Qlik.com
MaximizingData Value in the Age of AI|White Paper
From DigitalSwamp to Strategic Asset: Taming QVD Chaos with a Data product Mindset| Blog
...View More
Think Iceberg is only for big data or streaming pipelines? Think again. It turns your data lake into a reliable, database-like platform — flexible, future-proof, and ready for any engine you choose.
