Systems | Development | Analytics | API | Testing

Why Embedding AI-Powered Analytics into Your Application is a Game Changer

As a product leader, you're 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 and add more value for your users. But why is this approach so crucial, and how can you implement it effectively?

User-Guided Intent: The Future of Conversational BI Starts Here

Using Business Intelligence (BI) tools can be overwhelming—especially for company executives, shopkeepers, or factory workers who may only engage with them occasionally. This challenge is one of the key reasons we set out to rethink how most users interact with their data. Rather than relying solely on interactive dashboards or static PDF reports, we're exploring more intuitive and user-guided approaches.

Iceberg, Snowflake, and Polaris are Cool, but Qlik Brings the Heat

With the Snowflake Summit 2025 on the horizon, customers can anticipate groundbreaking innovations that address the challenges of leveraging data at scale and address. One of the greatest challenges is transforming raw data into AI, analytics, LMM, and RAG-ready formats. This requires effective ingestion, transformation, and governance. This is where Qlik, in collaboration with Snowflake, brings the heat.

#shorts - Quick Tip - Why is the Qlik App Lineage so important?

Knowing exactly where your data comes from is critical. With the Lineage view in Qlik Cloud Analytics, you get a clear, visual map of your data flow—making it easy to trace dependencies, troubleshoot issues, and update the right apps with confidence. A must-have for any serious Qlik developer or data team.

From Harmony to Outcomes: Doing Data Differently at Qlik Connect

Qlik Connect this year started a little differently. Not with slides. Not with a video. But with a few minutes of unified harmony. On stage stood the Barcelona Guitar Quartet — except instead of four guitars, there was only one. And yet the sound that emerged was rich, layered, and astonishing. If you had closed your eyes, you’d have sworn it was a full band. It was a masterclass in collaboration.

A Vision for the Future: Qlik's New Agentic AI Experience

The future of data and analytics will be nothing like the experience we're used to today. We are at the beginning of a transformation that will fundamentally reshape how businesses use data, make decisions, and create value. At the center of this revolution is Agentic AI. Agentic AI fundamentally changes the way we work with data – moving from passive, reactive AI systems to autonomous, goal-oriented agents capable of reasoning, planning, and executing complex tasks across diverse data landscapes.

Stack Your Stats! Composite KPIs Made Easy - Do More with Qlik

A composite KPI is a powerful way to layer multiple chart objects—like KPIs, line charts, and gauges—within a layout container to create a unified, custom visualization. By overlapping these elements, you can combine a bold numeric value (e.g., total sales) with a trend line or mini chart that adds context and visual depth. This technique transforms static KPIs into dynamic, insight-rich visuals. The layout container’s flexibility allows precise positioning and transparency adjustments, helping you design dashboards that are both informative and visually compelling.

The AI Roadmap: 6 Essential Steps to AI Readiness

Everyone is taking part in the AI scramble, some more successfully than others, as we all know. But many enterprise companies are still just getting their feet wet. Here at Qlik we saw an opportunity to try to capture what it is that these successful companies did to get value from AI for their organizations. So, we partnered with IDC to get those answers and discovered that preparation is a major difference maker for success with AI.