topic Would You Trust Your Data at 2am? in Make Your Data Work for AI

Would You Trust Your Data at 2am?

SarahUrbiss — Wed, 08 Jul 2026 11:03:23 GMT

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!

Re: Would You Trust Your Data at 2am?

AlexSay — Tue, 14 Jul 2026 03:16:10 GMT

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. 🙂

Re: Would You Trust Your Data at 2am?

rubenmarin — Tue, 14 Jul 2026 06:14:39 GMT

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.

Re: Would You Trust Your Data at 2am?

F_B — Tue, 14 Jul 2026 06:48:38 GMT

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.

Re: Would You Trust Your Data at 2am?

Or — Tue, 14 Jul 2026 08:00:14 GMT

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.

Re: Would You Trust Your Data at 2am?

Eduardo_Monteiro — Tue, 14 Jul 2026 14:19:22 GMT

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!

Re: Would You Trust Your Data at 2am?

SarahUrbiss — Tue, 21 Jul 2026 23:47:17 GMT

@F_B congrats! Your response has been drawn to receive a pair of Qlik Kicks! Thank you for sharing your insights, and I'll send you a private message with details on the sneakers.

Re: Would You Trust Your Data at 2am?

F_B — Thu, 23 Jul 2026 13:14:57 GMT

Thank you!

Re: Would You Trust Your Data at 2am?

domanski — Fri, 24 Jul 2026 10:57:57 GMT

Trust the data at 2 am is often not possible because the data is not up-to-date at this moment. A lot of things and aggregation takes some time. Or overnight the data is processed in a lot of systems.

Re: Would You Trust Your Data at 2am?

rdm6532 — Fri, 24 Jul 2026 12:55:16 GMT

Because we have been using Qlik for so long now, I am confident in the data that we have available at a moment's notice (as it happens quite often in my industry). However, I am excited to use more Qlik tools to find ways to enhance our data quality even futher.

Re: Would You Trust Your Data at 2am?

mehulsolanki — Fri, 24 Jul 2026 15:05:41 GMT

True AI readiness is not defined by the sophistication of a model, but by the organization’s ability to act on data at any moment, even during high-pressure events at 2:00 AM. When teams stop asking ”Is this data correct?” and start asking ”What action should we take?”, the organization has successfully transitioned from simply having data to having data that works for AI.

AI can provide answers in seconds, but those answers are only as valuable as the data behind them. If your teams feel compelled to manually verify numbers or reach for spreadsheets, the problem is not your AI, it is your data trust. By building a foundation of reliable pipelines, transparent governance, and shared visibility, organizations can transform their data from a source of skepticism into a competitive advantage.

Re: Would You Trust Your Data at 2am?

Chanty4u — Tue, 11 Aug 2026 18:27:34 GMT

Hi @SarahUrbiss late but my thoughts

At 2am, I’d trust the data only if I can trust its lineage, freshness, and business context—otherwise, AI can simply make a wrong answer look convincing.

The real test of AI readiness isn’t how quickly it responds; it’s whether we’re confident enough in the data to act on its answer without reaching for a spreadsheet.