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Automate Data Product Creation with Qlik Answers

Qlik
10/13/2026
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Let's see whether the agent can help me with that. Naturally, the agent needs a few more pieces of information, and it asks for them in a very structured way. Of course, I could equally have left the name, description, and tags empty and ask the agent to propose them itself later on. I'm filling them in because I happen to have opinions, but the option is there, and it is the one I would use if I were creating 20 of these. Either way, we are already a good step further. Now I select the individual datasets that should become part of my data product. Okay, so we have a first version. Let's ask our agent what else we could do to improve the quality of the data product. This is the part I find genuinely useful. It isn't just doing what I asked, it is telling me what I forgot.

TL;DR

  • Qlik Answers can automate data product creation by prompting users for required metadata in a structured, guided way.
  • Users can supply their own names, descriptions, and tags — or let the agent propose them, which is ideal when creating many products at once.
  • After assembling a first version, the agent proactively recommends quality improvements the user hadn't explicitly requested.

Summary

This short demonstration shows how Qlik Answers, an AI agent, can streamline the creation of data products within the Qlik platform. The presenter walks through a real workflow: initiating a new data product, letting the agent prompt for required metadata such as name, description, and tags, and then selecting the datasets to include. A key point made is that users can either supply their own metadata or delegate that task entirely to the agent — a practical time-saver when creating data products at scale. Once a first version is assembled, the agent goes further by proactively identifying quality improvements the user hadn't considered, effectively acting as a quality advisor rather than just a task executor. The presenter highlights this advisory capability as the most genuinely useful aspect of the experience, noting that the agent doesn't just complete instructions — it surfaces what was overlooked. This positions Qlik Answers as an intelligent assistant for data governance and product management workflows, not merely an automation layer.

Chapters

0:00 - Initiating a New Data Product
0:11 - Metadata Options and Agent Proposals
0:30 - Selecting Datasets
0:37 - Agent Quality Recommendations

Key Quotes

0:41 "This is the part I find genuinely useful."
0:44 "It isn't just doing what I asked, it is telling me what I forgot."
0:22 "The option is there, and it is the one I would use if I were creating 20 of these."

FAQ

Do I have to provide the name, description, and tags myself when creating a data product?

No. You can leave those fields empty and ask the agent to propose them. This is especially useful when creating multiple data products at once.


Categories:
  • » Data Protection » Backup & Recovery
  • » Cybersecurity » Data Security
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  • AI & Machine Learning
  • Data Protection
  • Demo
  • Getting Started
  • Data product creation
  • AI agent automation
  • Data governance
  • Metadata management
  • Qlik Answers
  • Data quality improvement
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