Systems | Development | Analytics | API | Testing

In this video, we dive into how Click Data Products combine Data Quality, Semantic Types, and business context to create trusted, scalable, and reusable data assets. We explore how semantic types in Qlik help classify and validate data using meaningful business definitions — improving consistency, discoverability, and confidence in analytics and AI-driven insights.

In part 4 of this series, Mike Tarallo form Qlik, walks you through the core components of Qlik Datasets, giving you a clear understanding of how to navigate and interpret key features within the platform. We explore the Profile tab, Data Lineage, Impact Analysis, and Data Preview to see how each helps you better understand your data and its flow across systems.

NKT makes the “electrical superhighways” that bring renewable energy to city consumers. Its 24/7 site in Karlskrona, Sweden is the world’s largest producer of high voltage undersea cables, making operational stability vital. However, the plant faced hurdles. Data was trapped in silos, leading to intuition-based decisions with no single source of truth.

Insights to actions to outcomes Qlik Sense’s interactive user experience allows us to dynamically interact with apps to find hidden patterns and obtain meaningful insights. Qlik Automate turns those insights into actions, directly from within Qlik. In Qlik Automate you can build simple workflows to directly integrate with your 3rd party business applications or databases. This leads to meaningful and measurable outcomes.

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.