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.
It’s also a perfect metaphor for how we believe data, analytics, and AI need to operate in today’s enterprise. Right now, far too many businesses are trying to implement and scale AI on a foundation of disconnected systems. Data producers working in one place. Analytics teams working in another. Business users are trying to extract value from somewhere in between.
That’s not harmony—it’s disconnection. Teams working in silos, systems speaking different languages. And it’s exactly what holds AI programs back from reaching their full potential.
According to IDC, nearly 60% of AI investments are going into generative and agentic capabilities. The rest are split between predictive and interpretive AI - designed to guide decisions and explain outcomes.
The intent is there. The investment is available. But turning AI potential into impact demands something more.
Only one third of companies say they’ve successfully improved access to insights that drive real decisions. And while 89% have a GenAI strategy, just 26% have deployed it at scale. So, why the 63% gap between strategy and implementation at scale? What’s holding them back? It isn’t technology - it’s alignment.
That’s why at Qlik Connect, we’re proud to unveil a new wave of innovations designed to close the gap - not just between data producers and data users, but reducing the time to value – so getting to those outcomes sooner, and with greater cost efficiency.
We introduced three transformative capabilities:
A new agentic experience, including Qlik Answers, offering a unified, conversational interface that empowers users across the enterprise to interact naturally with data. Purpose-built AI agents accelerate insight discovery, drive faster decision-making, and boost productivity at scale.
Qlik Open Lakehouse, delivering real-time performance and cost-efficient scalability—without compromising on governance.
And powerful analytics enhancements that turn insights into action instantly, helping teams move from understanding to execution in record time.
For analytics leaders, doing data differently means shifting the focus from dashboards to decisions. It’s about embedding intelligence where the work happens, so people don’t just see data — they act on it. It means doing it at the speed and cost that businesses demand. That requires automation and embracing the cloud and AI.
For data leaders, it means enabling trust at scale, at the right cost. Giving teams access to the right data, in the right format, at the right time — without sacrificing governance, quality, or performance. It’s about scaling insights, not just systems and giving confidence.
And for business leaders? It means knowing your teams are aligned. Your insights are trusted. Your operations are running on facts, not assumptions. You can spot opportunities that pass others by.
So, if you’re ready to go from disconnected to orchestrated, from complexity to clarity—and implement an AI strategy built on a foundation that’s governed, explainable, and ready for the enterprise—this is your moment.
When your Open Lakehouse streams trusted data in real time, and is then connected to intelligent agents that recommend, understand, and act, you unlock more than insight.
You unlock speed, efficiency, and measurable productivity. Suddenly, decisions happen faster. Workflows run smoother. And your teams spend less time searching and more time executing on what matters.
This is how AI drives real value. It’s time to do data differently.