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By reading the Product Innovation blog, you will learn about what's new across all of the products in our growing Qlik product portfolio.
The Support Updates blog delivers important and useful Qlik Support information about end-of-product support, new service releases, and general support topics.
This blog was created for professors and students using Qlik within academia.
Hear it from your Community Managers! The Community News blog provides updates about the Qlik Community Platform and other news and important announcements.
The Qlik Digest is your essential monthly low-down of the need-to-know product updates, events, and resources from Qlik.
The Qlik Education blog provides information about the latest updates of our courses and programs with the Qlik Education team.
Google's Universal Analytics will stop processing new hits on July 1st 2023 and makes room for Google Analytics 4.
Continue loading your data using Qlik's new GA4 connector, available for Qlik Cloud and Qlik Sense Enterprise on Windows as of today: Google Analytics 4 (Cloud) | Google Analytics 4 (on-premise)
The new Google Analytics 4 connector is also included in the Qlik Web Connector Standalone package: Google Analytics 4 (standalone)
[GA4] Introducing the next generation of Analytics, Google Analytics 4 | support.google
Prepare for the future with Google Analytics 4 | blog.google
Hi everyone,
Want to stay a step ahead of important Qlik support issues? Then sign up for our monthly webinar series where you can get first-hand insights from Qlik experts.
Next Thursday, May 22 Qlik will host another Techspert Talks session and this time we are looking at Qlik Cloud Admin 101.
But wait, what is it exactly?
Techspert Talks is a free webinar held on a monthly basis, where you can hear directly from Qlik Techsperts on topics that are relevant to Customers and Partners today.
In this session we will cover:
Click on this link to choose the webinar time that's best for you.
The webinar is hosted using ON24 in English and will last 30 minutes plus time for Q&A.
Hope to see you there!!
Custom CSS has been a popular workaround in Qlik Sense for years, helping developers tweak layouts, hide buttons, and get around styling limitations. But things are shifting. With the Multi-KPI object being deprecated and native styling options getting stronger with every release, it’s a good time to rethink how we approach custom styling in Qlik Sense moving forward.
In this post, we’ll break down:
Let’s dive in!
Why is custom CSS used in Qlik Sense?
In the past, Qlik’s built-in styling options were limited. That led to many developers using CSS to:
Most of this was made possible by either creating custom themes, building extensions, or using the Multi-KPI object as a helper to inject CSS code. But as powerful as these techniques were, they also came with downsides, like breakage after updates or difficulty governing app behavior at scale.
So, What’s Changing?
The biggest shift is the deprecation of the Multi-KPI object, which has served as a popular CSS injection tool. Here's what you need to know:
EOL of the Multi-KPI object is May 2026:
If you’ve been using the Multi-KPI as a styling workaround, it’s time to plan for alternatives.
Native Styling Has Come a Long Way
Before reaching for CSS, it's worth exploring what Qlik now offers natively. Many of the styling tweaks that once required CSS are now fully supported in the product UI.
Here’s a quick look at recent additions:
|
Native styling available now or coming in the next update |
Straight Table |
Background images, word wrap, mini charts, zebra striping, null styling, header toggle |
Pivot Table |
Indentation mode, expand/collapse, RTL support, cyclic dimensions |
Text Object |
Bullet lists, hover toggle, border control, support for up to 100 measures |
Line Chart |
Point and line annotations |
Scatter Plot |
Reference lines with slope, customizable outline color and width |
Layout Container |
Object resizing and custom tooltips |
Navigation Menu |
Sheet title expressions, left/right panel toggle, divider control |
And this list keeps growing. If you're building new apps or redesigning old ones, these built-in features will cover a huge percentage of use cases.
Many deprecated CSS tricks are now native. Check out the full Obsolete CSS Modifications post for examples and native replacements.
What About Themes?
Themes are not going anywhere. In fact, they remain the most robust and supported way to apply consistent styling across your app portfolio.
With custom themes, you can:
You can still include CSS files in themes, but remember:
If you're new to themes, Qlik.dev has a great guide to get started, or checkout my previous blog post for some tips and tricks.
Still Need Custom CSS? Here’s What You Can Do
If your use case goes beyond what native styling or themes can handle—like hiding a specific button, or styling based on object IDs—you still have a few options:
What's Missing
A lot of Qlik users have voiced the same thing: "we still need an officially supported way to inject CSS at the sheet or app level"
Some have suggested:
Qlik has acknowledged this feedback and hinted that future solutions are being considered.
What You Should Do Today
That’s a wrap on this post. With more native styling features on the way, I’ll be keeping an eye out and will be likely sharing a follow-up as things evolve. If you're in the middle of refactoring or exploring new approaches, stay tuned, there’s more to come.
Qlik DataTransfer will be officially End-of-Life by the end of Q1 2026.
It will be removed from the Product Downloads site later this year and will no longer be available for new installations or upgrades. Qlik will provide support until April 30, 2026.
To ensure a smooth transition, we recommend you begin utilizing Qlik Data Gateway – Direct Access, the supported alternative.
Note that the initial release of Qlik DataTransfer (November 2024, version 10.4.0) will not work after June 24th, 2025. If you still need to use Qlik DataTransfer beyond June, upgrade to the Service Release version 10.4.2.
We have compiled a list of resources to assist you in adopting Qlik Data Gateway - Direct Access:
Additionally, for those needing feature parity with Qlik DataTransfer, we recommend pairing with the File Connector via Direct Access, REST Connector via Direct Access, and the generic ODBC Connector.
Further Resources:
We will share an update later this year with the exact deprecation and end-of-support dates.
For assistance, please contact Qlik Support. Questions on how to contact Qlik Support.
Thank you for choosing Qlik,
Qlik Support
The following public URLs will have their IP addresses changed on the 19th of May 2025:
This change is being done in a consolidation effort and will only affect your environment if you have previously created firewall exceptions for the old set of IP addresses. Note that Qlik does not recommend the use of IP addresses in exceptions. Add domain names to your allowlists wherever possible.
For a list of changes and to review what possible impact this may have, see Qlik Talend: Public IP address changes.
Thank you for choosing Qlik,
Qlik Support
Identificação dos colaboradores com maior contribuição para o faturamento. Detecção de uma queda significativa no volume e no faturamento em relação ao ano anterior. Compreensão de quais categorias de produtos são mais lucrativas, com destaque para combustíveis. A análise geográfica revelou uma concentração de vendas em determinadas regiões do Brasil, auxiliando na definição de estratégias mais direcionadas.
O aplicativo trouxe maior visibilidade sobre o desempenho operacional e financeiro do negócio, permitindo uma tomada de decisão mais ágil e embasada. Também contribuiu para identificar áreas e colaboradores com baixa performance, possibilitando ações corretivas mais rápidas.
O aplicativo é utilizado principalmente por gerentes operacionais, supervisores de pista e loja, além da equipe administrativa e diretoria da empresa. Ele é acessado diariamente para acompanhamento das vendas, desempenho por funcionário e análise financeira. A visualização é feita tanto em computadores nas salas de gestão quanto em dashboards projetados em TVs no escritório, sendo uma ferramenta essencial para o controle das metas e decisões rápidas.
O app integra dados de diferentes fontes (ERP, vendas e estoque) e aplica análises de performance, tendências e variações ano a ano. Isso possibilita a identificação de padrões, projeções de faturamento e apoio na definição de estratégias de marketing e operação.
In today’s data-driven world, being able to understand and analyze data is quickly becoming as essential as reading and writing. Across the UK, industries are scrambling for talent who can make sense of the numbers. The government’s recent National Data Strategy highlights this surge – demand for data skills has more than tripled since 2013. Nearly half of UK businesses are now recruiting for roles that require data proficiency. The catch? There aren’t enough data-skilled workers to go around. In fact, universities currently produce only about 10,000 data science graduates per year, yet an estimated 178,000–234,000 data roles need filling. It’s no surprise that 46% of businesses have struggled to hire data-related jobs in recent years. This growing skills gap puts pressure on higher education to step up and equip students with data literacy, no matter what they study.
In this episode of Do More with Qlik: Tips and Tricks Edition, I walk you through how to create dependent task chains in Qlik Cloud. Whether you're managing scripts, data flows, or apps, building a task chain ensures that each process runs in sequence—only when the previous one succeeds.
We’ll be working in a demo space called “Tasks Demo,” using three core objects:
A script that pulls pricing data and stores it in cloud storage.
A data flow that combines that data with inventory details to create a QVD.
An app that visualizes the results in a clear and simple dashboard.
In this video, you’ll learn how to:
Set up a scheduled time-based task.
Configure tasks to trigger only when a prior task succeeds.
Monitor task progress and view refresh statuses in real time.
This approach not only improves the reliability of your data updates but also helps you build a foundation for more complex automation across your Qlik environment.
👇 Watch the video below to see the full walkthrough and learn how to build your own dependent task chain in just a few clicks.
Have questions? Drop them in the comments where the video is posted—I'm here to help!
Resources:
1. Identifying the most accurately predicted matches and teams. 2. Understanding user prediction trends and accuracy rates. 3. Recognizing top-performing users and departments in prediction accuracy. 4. Analyzing the correlation between user predictions and actual match outcomes. 5. Gaining insights into the most popular teams and players based on user engagement. 6. Tracking the overall prediction accuracy and its impact on leaderboard rankings.
Some of the discoveries from using this app include identifying trends in user predictions, understanding the most accurately predicted matches, and recognizing top-performing users and departments. The app has positively impacted the business by increasing user engagement through gamification and providing valuable insights into audience preferences
Everyone in the organization
This is for fun which increased user engagement through gamification during tournament.