Would You Trust Your Data at 2am?

[SarahUrbiss]

Our Data Works for AI campaign opens with a fictional shoe retailer blindsided by a viral demand spike. The line that sticks: "We would love to ask AI. But our data doesn't work for AI." 

That's the gap a lot of organizations live in. It’s not a lack of ambition, but a lack of trust in the data itself when it actually matters. 

If something unexpected hit your business right now, would you trust the data you'd have to act on, or would your first instinct be to go double-check it somewhere else? 

Tell us where that answer comes from. Is it the data itself, the systems it's coming from, or just years of experience? 

Watch the full story: 

Share your response in this thread to be entered to win a pair of Qlik kicks. Winner announced July 17, 2026!

[AlexSay]

Not yet, if I'm honest. My data's decent but scattered — behaves like a cat sometimes, vanishes and reappears. Starting to learn those surprise gray values in Qlik are the point, not a bug. Still new to this. 🙂

[rubenmarin]

I would trust our data in a high percentage, but we know there is still a lot of areas to improve.

Hopefully, we can reduce the backlog so some of the detected gaps can be included in the upcoming cycles.

[F_B]

Trust in data isn't built at 2 am: it's built long before the crisis happens. If the first reaction is to export data into Excel or validate it through multiple sources, that's often a sign that trust in the data foundation is missing.

[Or]

Trust, but verify. 

I would not act on something like this without first looking into it and confirming it's not noise. Missing an opportunity isn't good, but reacting to wrong information can be worse. 

[jasonmiller11tt234]

Data trust is the foundation for making AI useful. If teams don’t trust the data, they’ll always fall back to manual checks and gut decisions. Clean, governed, and reliable data is what turns AI from a concept into something businesses can confidently act on.

[Eduardo_Monteiro]

I'm 100% with @Or.

It would take some time or a pattern for me to start blindly trusting it. So, I'll go with trust verifying it!