Systems | Development | Analytics | API | Testing

Banks and credit unions face mounting pressure to modernize operations, elevate member experiences, and keep pace with regulatory demands. Discover how banks are delivering an agile data strategy using Qlik and Snowflake and improve member service, streamline operations, and manage compliance changes. Download our joint ebook and learn:→ How to build a future-ready data architecture→ Ways to drive accuracy and faster decision-making→ How to deliver timely, personalized member experiences→ Practical strategies you can implement right away.

This week we are bringing you the QlikView to Qlik Sense Converter tool. The QlikView to Qlik Sense converter tool is a breakthrough new offering from Qlik — it's the first tool to deliver true 1-to-1 automated conversion of QlikView application UIs directly into Qlik Cloud Analytics.

So......who wants a 1:1 conversion tool to convert hashtag#QlikView apps to Qlik Cloud Analytics apps (Qlik Sense)? Here is a teaser - Stay tuned for more information. Speacial thanks to Daniel Pilla Adam Jacobs Savraj Rakkar - the conversion tool dream team! Designed for Qlik customers, partners, developers, and enterprise teams, it removes the biggest barrier to cloud migration: manually rebuilding dashboards. Instead of spending months recreating sheets, layouts, and expressions, this tool converts everything automatically — preserving the look, feel, and logic users already know.

In Part 3 of this series, we discuss creating a dataset and have a first look at its governance and metatdata layers starting with the Dataset Overview. Stay tuned for more in the series as we continue building powerful Qlik data experiences!

Are you using datasets in Qlik Cloud Analytics yet? Before jumping into building a Data Product, there’s one foundational piece you can’t afford to overlook: the dataset. It’s more than just a data asset—it’s the backbone of everything you create in hashtag#Qlik. I just dropped a new video breaking down what a Qlik dataset really is, why it matters, and how to use it the right way before moving on to more advanced builds.

Discovery Agent brings automated anomaly detection directly into Qlik Cloud. It monitors the metrics you care about, identifies meaningful changes, and delivers contextual insights right where you work. Today it’s a monitoring capability inside Qlik Cloud. Over time, it becomes one of the agentic services supporting autonomous workflows across the platform.

Quickly see how to use Qlik Talend Data Integration to create a Replicate job to move data from YouTube Analytics to your analytics data store.

Discover how Qlik Answers transforms your data into clear, AI-powered insights in seconds. Ask questions in natural language and get accurate, contextual answers instantly.

Qlik Data Products for Analytics is how you turn raw data into something people can actually trust and reuse. It’s built right into Qlik Cloud Analytics and is designed for analytics teams, data producers, and even AI initiatives. Instead of everyone rebuilding datasets over and over, teams can publish curated, governed, analytics-ready data products that include business context, quality checks, and our patented Qlik Trust Score. People discover them in a marketplace, plug them straight into dashboards, apps, or AI workflows, and move fast with confidence. The big value? Less duplication, lower cost, faster app development, and insights you can actually trust.