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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.
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This blog was created for professors and students using Qlik within academia.
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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.
I am pleased to introduce Qlik Academic Program Educator Ambassador for 2025, Chee-wai, Ho from Republic Polytechnic, Singapore.
Chee-wai has been actively involved in upskilling adult learners in data literacy for more than five years in Republic Polytechnic’s Specialist Diploma in Business Analytics (SDBA) in Singapore. According to Chee-wai, “Data literacy in practical translates into identifying and correcting data issues, follow by data visualization to make informed business decisions. This is also the foundation for fruitful predictive and prescriptive analytics.”
Edit 31st of March 2025: Added CVE number.
Hello Qlik users,
A security issue in a version of Qlik Alerting Windows has been identified. This issue was resolved in a later patch, which is already available. Details can be found in the Security Bulletin Critical Security fix for Qlik Alerting (CVE-2025-31509.
All Qlik software can be downloaded from our official Qlik Download page (customer login required). Follow best practices when upgrading Qlik Alerting.
The information in this post and the Security Bulletin Critical Security fix for Qlik Alerting (CVE-2025-31509 are disclosed in accordance with our published Security and Vulnerability Policy.
The Security Notice label is used to notify customers about security patches and upgrades that require a customer’s action. Please subscribe to the ‘Security Notice’ label to be notified of future updates.
Thank you for choosing Qlik,
Qlik Global Support

I can see how my ratings have become more strict compared to the market average as time has passed.

Not my business, but this is my grain of sand for the winery industry.

About every month, or when I want to try something differene

I make more informed wine purchases and know which wines I would like to go back to.

Key discoveries: 1. Peak listening occurs at 5-7 PM on weekdays, especially Mondays (500+ plays at 8 PM) 2. Daily average of 2:45 hours of music, totaling 1,003 hours for the year 3. Strong song preferences despite accessing 8,482 unique tracks 4. Highest engagement on Mondays and Thursdays, minimal weekend listening 5. Clear artist preferences (Niño Prodigio, Dudu Tassa) among 2,958 artists explored 6. Unexpected night-time listening pattern between 10 PM-12 AM on Thursdays

This personalized Spotify dashboard has transformed how I understand my music consumption patterns, enabling more intentional listening habits and better playlist curation. By visualizing my listening data, I've optimized my music selection for different activities and times of day, significantly enhancing my overall Spotify experience.

The Spotify Personal Analytics dashboard is primarily used by me as an individual music enthusiast to track and analyze my listening patterns, though I occasionally share insights with friends who are music aficionados.

This Spotify dashboard has enhanced my relationship with the platform by providing deeper insights into my listening habits, leading to more intentional engagement and increased usage of premium features.
The Qlik Application Automation JIRA blocks List issues, List issues by project and List new and updated issues incrementally, have been updated to the latest API URL.
The changes come into effect on the 1st of May 2025.
The following changes in the blocks:
List issues block:
List issues by project:
List new and updated issues incrementally:
No changes
[
{
"id": "157638"
},
{
"id": "156647"
}
]
Example of the response if a user has specified the names of the field (such as "Summary") in the "Fields" input parameter:
[
{
"expand": "",
"fields": {
"summary": "Main order flow broken"
},
"id": "10002",
"key": "ED-1",
"self": "https://your-domain.atlassian.net/rest/api/3/issue/10002"
}
]
Since the response has been updated, the "Id" field will be returned by default if no fields are specified in the "Fields" input parameter.
After upgrading any of the List issues, List issues by project, and List new and updated issues incrementally blocks, add the relevant fields to the input parameter in the block, which is referenced by other blocks.
Additionally, modify the output references in other blocks if necessary. If this is not done, it will result in a null value for the input parameter, causing referenced blocks to fail with the error "Missing mandatory parameter" whenever the input parameter is required.
Example error:
{
"response": {
"status": 400,
"body": {
"errors": [
{
"code": "HTTP-400",
"title": "Invalid Request.",
"detail": "Missing mandatory parameter \"Summary\"."
}
]
}
},
"external error": false
}
If you have any questions, we're happy to assist. Reply to this blog post or take similar queries to the Qlik Application Automation forum.
Thank you for choosing Qlik,
Qlik Support

The app provides insight into the frequency of contributions and subject matter from various content creators

The app can be used as a reference tool to help Qlik developers to find learning material to support their continuous professional development.

Can be used by Qlik Developers as well as other stakeholders

Can be used by Qlik Developers as well as other stakeholders as a reference tool

Tracking of the song contest among peers, where the evolution of points, positions, who gives more or less points to whom, who guesses another's song, etc. is managed. You can see from which position each contestant usually bets on to watching the videos of the songs.

It serves to create cohesion and a greater group atmosphere within the company.

The app's users are the competition participants and other members of the company following the event.

Contest tracking data, YouTube access to share and view videos of the songs bet on. Tests have also been conducted with ChatGPT to send the contest history and weekly bets so that users can also place bets on which song belongs to each contestant.
現在の AI 時代において、データ品質が重要なのはもちろん、必要不可欠でもあります。 AI 時代において、信頼性の高い AI 主導のインサイトの生成、信頼できる高品質のデータを使用した生成 AI モデルの強化が重視されています。こうしたニーズに低品質のデータを使用すると、AI 戦略の最初の段階で失敗する可能性があります。
Gartner 社は、「2025年 Gartner® 拡張データ品質ソリューション Magic Quadrant」を発表しました。Gartner 社が評価した 12 社のデータ品質メーカーの中で、Qlik は今回で 6 回目となるリーダーの 1 社に評価されました。
自社のビジネスニーズに最適なデータ品質ソリューションを選択するには?ぜひ、本レポートをご参考ください。

The app displays comprehensive data on water usage, including total consumption, water stress levels, and recycling efforts. It features visualizations of water usage trends over time, breakdowns by site and service group, and risk assessments for different basins.

The Water Stress Dashboard helps users identify high water stress areas, track changes in water consumption, and evaluate the effectiveness of water management strategies. By providing detailed insights and visualizations, it supports informed decision-making and promotes sustainable water use practices.

This app is used by environmental analysts, sustainability managers, and decision-makers in organizations that are focused on water resource management. It is also valuable for policymakers and researchers studying water stress and conservation.

This app automates reporting on Carbon Disclosure Project for water-related fields. Behind this app, there is a second-tier app that can send site coordinates to the WRI Aqueduct API and automate the basin mapping to sites, saving the results to .qvd.

Users can explore historical air pollution levels in major cities worldwide, comparing them to regional averages. The app reveals trends in air quality over time and helps identify cities with the highest and lowest pollution levels. By analyzing the concentration of specific air pollutants, such as PM2.5 and NOx, users can discover correlations between air quality and asthma rates in different regions. This app also provides insights into the impact of urbanization and industrialization on air quality, allowing users to understand the potential health risks associated with varying pollution levels. Additionally, it highlights the progress made in reducing air pollution in certain areas, offering a comprehensive view of global air quality trends.

The app has significantly impacted public health awareness by providing easy access to critical data on air pollution and its effects on respiratory health. It has enabled health professionals, policymakers, and the general public to make informed decisions about air quality management and mitigation strategies, ultimately contributing to efforts in reducing pollution-related health risks.

The audience for this app includes: 1. Public Health Professionals: Researchers and healthcare providers interested in studying the effects of air pollution on health, particularly respiratory conditions like asthma. 2. Policymakers and Government Agencies: Officials who develop regulations and policies to improve air quality and public health. 3. Environmental Organizations: Groups focused on environmental protection and advocacy, using the app to support initiatives for cleaner air. 4. Urban Planners and City Officials: Professionals involved in urban development who need data on pollution levels to make informed decisions about infrastructure and zoning. 5. Educational Institutions and Researchers: Students and academics studying environmental science, public health, or urban planning. 6. General Public: Individuals concerned about air quality and its impact on health, looking for information about pollution levels in their cities or regions.

The app leverages comprehensive data analytics to visualize and compare air pollution levels across different regions and times. By utilizing advanced analytics, it provides actionable insights into pollution trends and their correlation with health outcomes, enabling more targeted and effective public health interventions.

The discoveries from the office chess tournament, captured and analyzed through the Qlik Sense application, provide valuable insights into both the game and the participants. Here are some of the key discoveries: 1. Player Performance Trends: The app reveals patterns in player performance, such as whether certain players consistently win under pressure or improve over time. This helps identify strengths and weaknesses, allowing players to focus on areas for improvement in future tournaments. 2. Match Durations: By analyzing match times, we discovered which players tend to finish games quickly and which prefer more strategic, slower approaches. This can indicate varying playing styles, such as aggressive versus defensive strategies. 3. Tournament Flow: By analyzing match outcomes, the app shows the progress of the tournament, identifying which rounds are more competitive or where upsets occurred. This data could also help in improving the structure of future tournaments, ensuring more balanced matchups. 4. Player Interactions: The app also tracks the social dynamics within the tournament, highlighting key matchups between players with similar skill levels, creating a more exciting and engaging competition. Overall, these discoveries not only make the current tournament more enjoyable and competitive but also provide lessons for future events, leading to more data-driven and engaging chess tournaments within the office.

The Qlik Sense application has significantly impacted the business by fostering a sense of community and friendly competition within the office, boosting employee engagement and morale. Additionally, the data-driven insights provided by the app have streamlined event management, enabling organizers to optimize tournament structures and improve future employee engagement activities.

The Qlik Sense application is primarily used by employees participating in the chess tournament, including team members from various departments, as well as event organizers and managers. The application has proven to be highly important to the business as it not only encourages team-building and employee interaction but also enhances workplace culture. Its consistent usage during the tournament has led to higher employee satisfaction and fostered a more collaborative work environment, contributing positively to overall employee morale and retention.

The Qlik Sense application has significantly impacted the business by fostering a sense of community and friendly competition within the office, boosting employee engagement and morale. Additionally, the data-driven insights provided by the app have streamlined event management, enabling organizers to optimize tournament structures and improve future employee engagement activities.