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At Qlik, we’re incredibly proud of our Luminary and Partner Ambassador communities. They’re more than customers, more than partners, they’re an integral part of who we are. For over a decade, hundreds of data leaders across industries and continents have proudly called themselves Qlik Luminaries and Partner Ambassadors. With new people joining every year, this global network keeps growing, but one thing never changes: these folks bring the spark.

Over the past few weeks, I’ve spoken with a number of leaders who are digesting Salesforce’s move to acquire Informatica and what it will mean for them. If you are doing the same, I get it. Informatica has been an established company but in recent years pushing customers to move to their cloud only platform, will this accelerate this in particular with their recent PowerCenter end-of-support news?

As there are many questions to answer, we have split this blog in two parts. In part 1 of this blog, we explored how Qlik is using data and insight to drive decisions and actions. In this second part, we will focus on how to overcome the challenges along the way and set up for success for the future.

If you’re leading a data, analytics, or AI initiative right now, you know the pressure. AI is no longer a future project - it’s a business imperative. Executives want results, boards want differentiation, and the window to deliver is closing fast. That’s why Salesforce’s intent to acquire Informatica should raise serious questions for data leaders. Not just because of what it means for Informatica, but for what it could mean for your AI roadmap.

As enterprises double down on AI, there’s a hard truth many leaders are starting to face — they’ve invested in the promise of AI, but they can’t always trust the data behind the predictions. Whether you're training a model, building RAG pipelines, or scaling intelligent automation, AI outcomes are only as reliable as the data feeding them. Yet most organizations still can’t answer a critical question with confidence: Is our data truly AI-ready?

Welcome back to our ongoing series on strategies for gaining an unfair advantage. So far, we’ve explored how leveraging the tech ecosystem, overcoming adversity, unlocking hidden value in data, fostering great partnerships, and balancing risk with reward can set your organization apart. Each topic has offered actionable insights and real-world examples to help you stay ahead.

I’ve been on both sides of the table, as a CIO shaping enterprise strategy and now as a CEO delivering outcomes for thousands of customers. And one belief has never changed: your data should serve your business, not someone else’s agenda. That belief matters now more than ever. Salesforce’s intent to acquire Informatica is the latest signal of a growing trend: consolidation over choice.

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 assess their value.

After two weeks of immersion at the Databricks Data + AI Summit and Snowflake Summit, it’s clear that the pace of innovation is accelerating faster than ever. Both events showcased groundbreaking advancements in AI, data orchestration, and table formats, with Iceberg, catalogs, and hybrid customer personas emerging as the key themes. Below are some analysis on the trends shaping the modern data ecosystem.

Qlik has just been recognized - for the 15th year - as a Leader in the Gartner Magic Quadrant for Analytics and Business Intelligence Platforms, and I am delighted to confirm Qlik is moving further up and to the right. The message is clear: we’re executing on the right vision, and the market is taking notice. It’s also driven by a commitment to innovation, trust, and above all, our customers.