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When recognition comes directly from customers, it feels different. I am very proud that Qlik has been named a Customers’ Choice in the 2025 Gartner Peer Insights Voice of the Customer for Analytics and Business Intelligence Platforms. This is the second year in a row that Qlik has received this distinction. It is based entirely on feedback and reviews from verified users of Qlik solutions around the world.

Gartner has once again named Qlik a Leader in the Magic Quadrant for Data Integration Tools, a position we have held for a decade. In that time, the landscape around data integration has shifted. Hyperscalers are moving up, large vendors are tightening their stacks, and acquisitions are reshaping customer choice. For CIOs and CDOs, that consolidation changes the question. It is less about who sits where in the quadrant, and more about how much control you still have over your own data and AI strategy.

When I talk to customers about privacy and their data, the topic is data sovereignty. More and more organisations want their data to stay in a specific jurisdiction, with no transfer to, or access from, another region. A few years ago, this was something for lawyers and compliance teams to worry about. Now it is a regular item on the C-suite agenda because it touches cloud strategy, innovation projects, and how you run the business day to day.

As the lead sustainability officer at Qlik, I've had the privilege of witnessing firsthand the collaborative spirit and escalating urgency driving climate action today. Events like Climate Week NYC, the C40 World Mayors Summit, and COP30, highlight a clear reality: commitments are essential, but implementation and accountability matter more — within private and public sectors alike. And at the heart of this transition lies a powerful trio: data, collaboration, and AI.

Earlier this year at Qlik Connect, we introduced Qlik Open Lakehouse, a fully managed, Apache Iceberg–based platform designed to make it easy and cost-effective for organizations to ingest, optimize, and manage data in open lakehouse architectures. And the first version of Qlik Open Lakehouse is generally available as of Sept 2025.

In 2023, the EU introduced measures to ensure there will be focus on the gender pay gap and at the same time strengthen employee rights, especially for companies that have more than 100 employees. For businesses and specifically HR Professionals, this directive coming into force in the mid-point of 2026 creates several challenges that require both operational and strategic responses.

Salesforce has now completed its acquisition of Informatica, in a deal positioned as a way to strengthen Salesforce’s AI data foundation. If you are an Informatica customer, that headline is not the end of the story. It is the start of a long, complicated chapter. Informatica is no longer an independent data company. It is now one piece of Salesforce’s AI CRM story. That has real consequences for your data strategy, your AI roadmap, and your room to manoeuvre.

As the demand for data to power AI models and real-time decision making continues to grow, organizations are increasingly looking for ways to simplify and optimize the ways to ingest, and process fresh data within the enterprise. On average, organizations allocate 20–50% of their annual data warehouse spend on compute for data ingestion, amounting to millions of dollars in costs for large enterprises.

In the AI era – the need for enterprise-wide data—from every operational system—available for instant analytics is real. Microsoft Fabric has fundamentally simplified the modern data estate, centering everything around the flexible, unified power of OneLake. A cornerstone of this platform is Mirroring, a low-latency, low-cost solution designed to break down silos. But for data engineering pioneers, the most exciting development is Open Mirroring.

In a previous blog post, we introduced one of the most significant advancements in Qlik Predict to date — multivariate time series (MVTS) forecasting, bringing enterprise-scale accuracy and context to complex prediction problems. But MVTS is only part of the story. Over the past few months, we’ve continued to enhance Qlik Predict with several powerful updates designed to make predictive AI more trustworthy, fair, and connected for our customers.