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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 Learning blog offers information about the latest updates to our courses and programs, as well as insights from the Qlik Learning team.
We're excited to welcome Juana Zuntini to the Qlik Educator Ambassador community for 2025. A passionate educator since 2017, Juana has been redefining how students connect with data, bringing it to life through interactive, hands-on learning powered by the Qlik Academic Program.
Her dedication to data literacy and innovation is helping shape a new generation of confident, curious, and career-ready students who understand that data isn’t just numbers; it’s the key to telling powerful stories and making real-world impact.
The Qlik Enterprise Manager connector for Qlik Application Automation is being effectively discontinued on April 28th of 2025.
If you are looking for an alternative to the Qlik Enterprise Manager connector, Qlik offers generic connectors that can be used in conjunction with the Qlik Enterprise Manager API.
For more information, see:
If you have any questions, do not hesitate to contact us through the Qlik Customer Portal.
Thank you for choosing Qlik,
Qlik Support
Multiple log-based replication issues may affect Qlik Replicate customers using SAP HANA DB 2.0 who are upgrading to the SAP HANA service packs SPS7 and SPS8.
SAP HANA DB 2.0 SPS7 (Service Pack 7):
RECOB-9379 and RECOB-9427 have been addressed by Qlik. An early build (Qlik Replicate 2024.11, SP03 Early Build) is available.
Download the early build from: https://files.qlik.com/url/wucx4x2nbyytwseu (password: pk2pfzup)
No other issues in Service Pack 7 are known.
SAP HANA DB 2.0 SPS8 (Service Pack 8):
Customers planning to upgrade to SPS7 or SPS8 should be aware of the risk, particularly with the changes to Hana logs affecting the Hana log parsing with respective to Qlik Replicate. We strongly advise postponing any upgrades to these versions until Qlik R&D has reviewed and certified these service packs.
Qlik has not received any reports of customers using trigger-based replication experiencing the same issues. However, if an upgrade is planned, we recommend thoroughly testing in lower environments before scheduling any production upgrades.
Thank you for choosing Qlik,
Qlik Support

1) Explore candidate performance & popular vote trends in depth — at national, state, and county levels.
2) Identify how key swing geographies influenced outcomes.
3) Examine the effects of third-party & independent candidates — and see how Daenerys Targaryen, Donald Duck, Frank Underwood, Harrison Ford, and others fared on real ballots.

Streamlines the exploration of complex election data, enabling faster insights and deeper analyses.

Political analysts, journalists, researchers, educators, and anyone interested in uncovering trends and patterns in U.S. presidential voting.

Built on data from MIT & Harvard, it uses Map, Decomp Tree with AI Splits, Circular Gauge, Bar Chart, Treemap, and KPI visualizations — unlocking insights at every level.
There have been some data load editor improvements that I think are worth mentioning so in this blog post I will cover some of the new features in the data load editor that I have found useful. The first, and my favorite new feature, is the table preview. The second is the ability to do a limited load and load a specified number of rows in each table. The third feature I will cover is the ability to view the script history, as well as the option to save, download and restore previous versions. Let’s look at each of these in more detail.
When building an app, my preference is to use the load data editor to load my data. With table preview, I can view loaded data tables at the bottom of the data load editor after data has been loaded or previewed in an app.
This is my favorite new feature because nine times out of ten, I want to view the data I loaded to ensure it loaded as expected and to check that my logic is correct. Having the preview table right there in the data load editor, saves me from having to go somewhere else, like the data model viewer or a sheet, to view the loaded data. I can use the preview table to check that they have the desired results. The ability to do this quick check saves me time.
As a developer, I can select the table to preview, and the data can be viewed as a table, as seen above, or as a list or grid as seen in the images below. When previewing the data as a table, the preview table can be expanded to show more rows, columns in the table can be widened and there is pagination that allows me to move around in the table. There is also an option to view the output of the load. This will show the same info you see in the load data window when the app is reloading.
List View
Grid View
The second feature in the data load editor I find useful is the preview data option. This provides an easy way for me to load some, but not all, of the data when reloading. In the screenshot below, the default of 100 rows is entered. This will load a max of 100 rows in each table. This value can be edited if desired. By default, the use store command is toggled off. When this is off, store commands in the script are ignored preventing potentially incomplete data from being exported. This feature is helpful when I want to just profile the data and see what the data looks like. It can also be helpful when there is a lot of data to be loaded and I do not need to load it all to check that the script is working as expected. Again, this is another time saver because I can limit the load thus the time it takes for the app to reload in a single step. I find this helpful when I want to quickly test a change in the script but do not want to wait for the entire app to reload.
The last data load feature I am going to cover is history for scripts. This new capability allows me to create versions of the script, name and rename scripts, restore the script from a previous version, download the load script or delete a version of the script.
I have not used the history feature much, but I can see it being helpful when I want to name various versions of the script. Every time the script is edited, it is saved to the current version. At any time, I can save that current version giving it a meaningful name. Maybe I want to make some changes to the script but want to have a backup in case it does not work. This can be done now right in the data load editor. I also have an easy way to restore a previous version, if necessary. Once a version is named, it can be renamed, restored, or deleted. All script versions can be downloaded as a QVS file. One thing to note is that the history only saves scripts created in the data loaded editor.
Hopefully, you find these new data load editor features helpful. They are available now in your tenant. Just check out the data load editor in your app.
Thanks,
Jennell
Hello, Qlik Replicate admins,
Beginning in Q3 2025, Snowflake will mandate Multifactor Authentication (MFA). For detailed information and a timetable, see FAQ: Snowflake Will Block Single-Factor Password Authentication by November 2025.
Unless MFA has been set up, this change will impact connectivity to Qlik Replicate.
To mitigate the impact, switch to Key Pair Authentication. Key Pair Authentication is available by default starting with Qlik Replicate 2024.05.
For more information, see Setting general connection parameters.
If an upgrade is currently not feasible, review How to setup Key Pair Authentication in Snowflake and How to configure this enhanced security mechanism in Qlik Replicate for a possible workaround to apply Key Pair Authentication.
If you have any questions, we're happy to assist. Reply to this blog post or take similar queries to the Qlik Replicate forum.
Thank you for choosing Qlik,
Qlik Support
The principle of “Garbage In, Garbage Out” emphasizes a key truth: the quality of input directly determines the quality of output. As organizations aim to harness the value of vast volumes of data, managing data quality centrally becomes increasingly complex. Many organizations are discovering that decentralizing data quality to domain experts allows them to profile, validate, and curate data into reliable products, fostering greater business confidence and use.
As part of the continued evolution of Qlik Talend Cloud, we’re excited to introduce a powerful new feature to help accelerate and standardize API contract creation.
You can now use a built-in AI assistant in the graphical API designer to generate complex API contracts—simply by describing the desired behavior in natural language. This AI-driven creation method offers a faster, more intuitive way to build and iterate on your APIs, especially during early design phases.
This enhancement makes it easier than ever to go from ideation to implementation while ensuring consistency and best practices across your API landscape.
Hello Qlik Admins and Developers,
The next major Qlik Sense Enterprise on Windows release is scheduled for November 2024. The update will introduce changes that will have an impact on the following add-ons:
The changes affecting the add-ons are:
New versions of all affected add-ons were made available before or in November of 2024.
Please plan your upgrade accordingly to prevent interruptions:
If you upgrade to Qlik Sense Enterprise on Windows November 2024, all listed add-ons must be upgraded as well.
Thank you for choosing Qlik,
Qlik Support
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.
The Techspert Talks session from April looked at Stitch Migration to Qlik Cloud.
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 see the presentation

o User adoption is key—training teams on data literacy and dashboard navigation was crucial for maximizing impact. o Customization matters—tailoring dashboards to user roles improved usability and engagement.

o Reduced manual reporting efforts by 70%, freeing up finance teams to focus on strategic analysis. o Automated data updates eliminated delays, enabling real-time monitoring and proactive decision-making. o Early identification of budget deviations helped prevent cost overruns, saving approximately 10% in excess expenditure annually.

The interactive dashboards allow finance, operations, and executives to access the same real-time data, enhancing cross-departmental collaboration

o Optimized CAPEX allocation led to better investment prioritization, ensuring high-ROI projects get funded first. o Improved forecasting accuracy reduced underutilization of assets, maximizing return on investment.
Last week a new presentation option for the bar chart was introduced in Qlik Cloud. The Butterfly presentation format displays two measures that mirror one another along the axis based on a single dimension. In the past, there have been methods used to generate the butterfly chart but now, it is a property option in the bar chart. Below are examples of butterfly charts. In the first example, the butterfly chart is comparing the average salary for men and women by country. In the second example, game stats are being compared for two selected college basketball teams.
Let’s look at how easy it is to create a butterfly chart. In the Human Capital Management example, the butterfly chart is comparing the average salary for men and women by country. The butterfly chart requires one dimension and two measures. In this example, Country is the dimension, and the two measures are as follows:
One measure for women and one measure for men. Both measures in a butterfly chart must return positive values to be displayed. If you are like me and used the old trick of creating butterfly charts by making one of the measures negative, you can simply remove that part of the expression to update your chart. In the app, both measures are master items, and a master color is applied to the measures so that males and females are different colors consistent with the rest of the app. Now, the only thing left to do is change the presentation to butterfly. This can be done from the properties of the bar chart in the Presentation > Styling section.
In both examples, the bar charts are horizontal, with mirroring measures on the y-axis. You also have the option to display the bar chart vertically. In this case, the mirroring measures will be on the x-axis.
Simple, right? As long as there are two items to be compared like male/female or team 1/team 2, a butterfly chart makes a nice alternative to the standard grouped or stacked bar chart. Try it for yourself and learn more at Qlik Help.
Jennell

It is now possible to track the long-term development of the reach of LinkedIn posts. With integrated forecasting features, you can also assess whether your goals are being met. Another key advantage: Qlik offers significantly more interactivity and flexibility compared to LinkedIn’s built-in analytics tools.

The monitoring and performance analysis of LinkedIn posts becomes significantly faster and more comprehensive with the new dashboard. Data can be analyzed efficiently, trends identified early, and posts optimized in a targeted way.

Perfect for anyone looking to analyze one or more personal LinkedIn accounts – quickly, clearly, and across extended time periods.

The app makes it possible to analyze LinkedIn data directly within the familiar Data & Analytics platform, using the tools and capabilities you already know.