This article provides a comprehensive perspective on Lakehouses, its essential building blocks, high-level architecture and key considerations for building your own open data lakehouse. What is a Data Lakehouse? A data lakehouse is a data management architecture that combines key capabilities of data lakes and data warehouses into a unified platform. It brings the benefitsRead more “Data Lakehouse”

In this article, we present several practical ways in which Generative AI is being used to derive more value from data. We will also present key considerations, best practices, and technology options for the effective implementation of Generative AI. If you know Generative AI has potential, but you are struggling to figure out real-world applicationRead more “A Few Use Cases for Generative AI in Data Analytics & Best Practices”

Two-thirds already use AI, and their biggest worry is not cheating but a level playing field, echoing workplace adoption challenges. Qlik, a global leader in data integration, data quality, analytics, and artificial intelligence (AI), has found that more than two-thirds of fantasy football fans are already using artificial intelligence to make decisions for their teams,Read more “About one in three U.S. fantasy football fans would let AI run their team”

Qlik strengthens its strategic collaboration and enterprise AI leadership role New AWS validation confirms Qlik’s proven success delivering scalable, trusted enterprise AI Qlik, a global leader in data integration, data quality, analytics, and artificial intelligence, announced in early September that it has achieved the Amazon Web Services (AWS) Generative AI Competency, reinforcing Qlik’s leadership inRead more “Qlik Achieves AWS Generative AI Competency”

Generative AI tools have Reshaped this summer’s travel experiences.AI saved travelers an average of 7 hours when planning their summer vacations. Qlik, a global leader in data integration, data quality, analytics, and artificial intelligence (AI), published at the beginning of August 2025 the results of a new survey conducted in Philadelphia – USA, showing howRead more “Qlik Survey”

As AI adoption accelerates, so does industry consolidation. But are closed ecosystems helping or holding back innovation? In a bold interview on CNBC Squawk Box Europe, Qlik CEO Mike Capone shares why the future of AI depends on open, trusted, and flexible data foundations — not vendor lock-in. AI doesn’t want to be captive. AIRead more “AI Doesn’t Thrive in Captivity: It Needs Freedom”

Table Recipe now in Qlik Cloud Analytics Clean, prepare, and go. It’s that simple. Qlik brings you your new trusted tool for fast, no-code data preparation in Qlik Cloud Analytics: Table Recipe, which makes it easy for anyone to quickly clean single-table datasets and keep the flow of insights going.All you need to do isRead more “Table Recipe in Qlik Cloud Analytics”

From Static to Adaptive: Cum Agentic AI modelează viitorul software-ului de business In the first half of this year, the Qlik team led the global series of workshops on Agentic AI. From London to Singapore and Mumbai, it had the opportunity to witness firsthand how companies—across industries and continents—are rethinking what software can mean inRead more “Agentic AI is the Future of Enterprise Software”

Taming QVD Chaos with a Data Product Mindset Data is supposed to be the lifeblood of innovation in today’s enterprises. We’re told to be data-driven, yet many organizations find themselves submerged in a digital swamp — murky, unstructured, and increasingly hard to navigate.  Without a unified data management platform, data scale can quickly spiral intoRead more “From Digital Swamp to Strategic Asset”

Are you ready to migrate to Qlik Cloud, but not sure where to start? The Qlik Sense SaaS Readiness App makes it simple. This powerful assessment tool profiles your current Qlik Sense Client Managed environment, surfaces key metrics, and helps you build a data driven migration plan, tailored to Qlik Cloud’s tiers and guard rails.Read more “The Qlik Sense SaaS Readiness App”

In this article, we will present you some examples, benefits, and best practices of embedded analytics, to help you create world-class embedded analytics of your own. What is Embedded Analytics?  Embedded analytics refers to the seamless integration of analytical capabilities directly into software applications, enabling your users to access and analyze data within the contextRead more “Embedded Analytics”

What it means, why it matters, and how it works In this article, we provide definitions and some practical tips to help you understand modern cloud analytics. What is Cloud Analytics? Cloud analytics is a service model in which data analytics and business intelligence (BI) processes take place on vendor-managed infrastructure rather than a company’sRead more “Cloud Analytics”

Calculating data value: a practical approach Today’s savviest business organizations rightfully recognize data as an essential asset. However, measuring data value across the entire data estate is challenging due to its inherent complexity. By breaking data down into smaller units that are business-outcome centric — data products — organizations can more accurately and reliably assessRead more “Measuring the Value of Data Products”

Any product leader is always looking for ways to stay ahead of the curve, meet evolving customer needs, and keep your product competitive. But with tight budgets, growing pressure to innovate, and constantly changing demands, it’s not always easy. Embedding AI-powered analytics into your application can be a powerful way to overcome these challenges andRead more “The Game-Changing Impact of Embedded AI Analytics”