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We’re excited to announce a major step forward in making Qlik Learning more accessible, personalized, and impactful; translations are now available for all users. Our first stop is France.
Your feedback drives this launch. One of your top requests was learning in your preferred language, and today we’re making that happen.
To accelerate availability, we’re leveraging machine learning–based translation technology to quickly bring essential content to more learners around the world. We’re kicking things off with our first set of courses in French, followed by Japanese, Italian, and many more languages coming soon.
🌐 Getting Started
Changing your language is simple:
⚠️ What to Expect
🛠️ Additional Notes
We truly appreciate your feedback and patience as we continue to evolve. To provide feedback, click the stars
at the top of this page and share your feedback with us.
We hope you enjoy Qlik Learning in the language that works best for you!
Something quietly remarkable happened in the first quarter of 2026. While the public conversation was still asking whether AI agents would really change business, Gartner reported that 40% of enterprise applications are expected to integrate task-specific AI agents by the end of 2026, up from less than 5% a year ago. G2's August 2025 survey of enterprise buyers found that 57% of companies already had AI agents in production, not as chatbots, but as autonomous systems executing workflows, monitoring compliance, and coordinating decisions across business functions.
For those of us who work at the intersection of data, analytics, and higher education, this isn't a distant trend. It's a curriculum question.
For two decades, the defining promise of business intelligence has been "self-service analytics", empower every user to query, visualize, and explore data themselves. In the agentic era, the paradigm changes. AI agents are not a new tool in the analyst's toolkit; they are analysts. They plan multi-step tasks, call APIs, reason across data sources, and increasingly execute actions without waiting for a human prompt.
At Qlik Connect 2026, the message was direct: enterprises are closer to agentic AI than they think, because the foundation they already built, governed data, trusted metrics, clear business logic — is exactly what agents need to operate reliably. In February, the general availability of Qlik's Model Context Protocol (MCP) Server made it possible for third-party assistants, including Anthropic's Claude and OpenAI's ChatGPT, to access governed enterprise data through Qlik's APIs rather than scraping dashboards. The dashboard is no longer the endpoint. It's one of many surfaces where a decision gets made.
Here is the uncomfortable reality: Gartner projects that over 40% of agentic AI projects will fail by 2027, not because the models aren't capable, but because legacy systems, poor data architectures, and weak governance can't support autonomous execution. Deloitte's 2026 State of AI in the Enterprise report, based on a survey of 3,235 leaders across 24 countries, found that only 25% of organizations have moved 40% or more of their AI pilots into production, and just 21% have a mature governance model for autonomous AI agents.
The scarce capability is no longer "who can build a dashboard." It is:
These are not niche skills reserved for data engineers. They are the new baseline for anyone graduating into a workforce where, by 2028, Gartner estimates 15% of day-to-day decisions will be made autonomously.
This is where Latin America has a genuine strategic window. Our universities often face the critique of "catching up" on technology adoption. In the agentic era, that framing is misleading, the agentic shift resets the starting line for everyone. Institutions, anywhere in the world, that graduate students fluent in data governance, explainable AI, and human-agent collaboration will be the ones supplying the talent that enterprises are already scrambling to hire.
According to DataCamp's 2026 State of Data & AI Literacy Report, 88% of enterprise leaders say basic data literacy is important for day-to-day work, 60% report a data skills gap in their organization, and organizations with mature literacy programs are nearly twice as likely to see strong AI returns. The companies that will hire our graduates next year are telling us, in plain terms, what they need.
Three practical moves that don't require launching a new degree program:
The agentic era will not be defined by which models win. It will be defined by which people, and which regions,learned to work alongside them first.
By giving students, professors, and universities free access to analytics software, learning content, and certifications, the Qlik Academic Program helps education stay aligned with the data trends shaping 2026 and prepares learners for the jobs of tomorrow.
Join our global community for free: Qlik Academic Program: Creating a Data-Literate World
In our increasingly globalized environment, enabling seamless multilingual support in your Qlik Sense apps is no longer a nice-to-have - it’s expected.
Many implementations require users to manually select their desired language to display labels and content. In a helpful Qlik Community post, Jennel guides users through building a multilingual Qlik Sense app using an Excel-based translation table and manual language selection via dropdowns.
While Jennel’s solution is powerful and flexible, it relies on users making that initial language choice. In this article, I’ll show how to streamline the user experience by automatically detecting a user’s preferred language - based on their Qlik Cloud profile - and dynamically adapting the app accordingly using the GetUserAttr('userLocale') function.
Jennel’s method involves:
This approach, while widely used, introduces a required step - it depends on users selecting their preferred language every time they open the app.
My solution builds on Jennel’s foundation with one key improvement: the app automatically reads the user’s preferred language from their Qlik Cloud settings via the newly added attribute to the GetUserAttr: userLocale. This eliminates manual language selection and delivers an interface that adapts instantly and seamlessly to each user.
In the Data Load script, nothing really changes from Jennel’s approach: I loaded an external file containing the required translations:
The magic happens in the front-end part of the analytics app. Everything that should be translated uses the same approach that Jennel stated in her article: a variable with a Set Analysis filter containing the ID of that specific label/title/subtitle.
={<Index={46}>} $(vLanguageString)
The magic is in the variable; $(vLanguageString), in fact, is defined as:
vLanguageString = Only({<Language={"$(vUserLanguage)"}>} Translation)
Please note the use of another variable called “vUserLanguage”: the usage of a nested variable allows to manage situations in which the user locale is not included in the translations table. Let’s say a user has Qlik Cloud set in Spanish but Spanish translations are not available: in this case the app would display everything in English despite the user locale selection.
The variable “vUserLanguage” is defined as follows:
vUserLanguage = if(count({<Lang={"$(=GetUserAttr('userLocale'))"}>} Lang) = 0, 'en', GetUserAttr('userLocale'))
As you can see, I used GetUserAttr(‘userLocale’) to fetch the preferred language set by the user in their Qlik Cloud profile. Doing this, automatically sets the translation to the user’s preference without any manual intervention.
The field “Lang” is in a dedicated table I created in the Load Script that contains all the languages available in the translations table:
To give users feedback regarding the current language, I used a flag image conditionally displayed in the app by leveraging a Layout Container. Layout Container, in fact, can conditionally display elements inside them: I then defined the conditional display rule as follows.
=$(vUserLanguage) = 'de' for German Flag
=$(vUserLanguage) = 'en' for English Flag
=$(vUserLanguage) = 'it' for Italian flag
An alternative solution could be to use a KPI with a conditional background image, using the string returned by GetUserAttr as part of the image name. Note that I used the “vUserLanguage” variable to ensure that we catch the default in case user locale is not available in the translations table.
Accessing the app with locale set to “English” displays all labels and titles in English:
Let’s go to my Qlik Cloud profile and changing locale to “Italian”:
Re-accessing the app displays labels and titles in Italian (check the flag on top right!):
Easy, without any additional effort!
Hope this article inspires you to build multilingual apps with this new feature!
We've made an update to Qlik Answers that delivers faster responses to your questions. See What's New in Qlik Cloud for the announcement.
The Data Analyst Agent in Qlik Answers now handles semantic search, expression building, and chart generation within a single, unified flow. When you ask a question, the Answers Agent and the Data Analyst Agent work together to deliver your response, and you'll see both reflected in the interface as Qlik Answers responds.
The practical effect: Qlik Answers can take your question, figure out what to search for, build the right expression, and generate the right visualization in a single connected process rather than as separate steps. Complex questions, the kind that involve comparisons across dimensions, multiple measures, or specific time periods, benefit the most because the agent can hold the full shape of your question in mind while deciding how to answer it.
Here's an example of how the same question flows through Qlik Answers. Previously, the response involved several specialized agents handing work back and forth. With the updated architecture, the question is resolved through a more direct flow, and you'll see the response come back faster.
Try it yourself! Ask any question you often repeat, especially one with comparisons or multiple parts. You'll notice Qlik Answers gets to the response faster.
You will see the difference the next time you open Qlik Answers, but everything else you rely on in Qlik Answers (your data, your spaces, your permissions, or the way you ask questions) will continue to work exactly as it did before the update went live.
We'll continue to evolve how the agents work as we add new capabilities, and we'll keep sharing what's changing along the way.
We'd love to hear how the updated experience feels in your day-to-day use. Reach out to your Qlik contact or share your thoughts in the community.
Thank you for choosing Qlik,
Qlik Support
来たる 6/10(水)、「AI Reality Tour Tokyo 2026」を開催いたします。
AI は急速に進化しています。その一方で、AI がもたらす価値でビジネス成果を実現している企業は、わずか 5% だという調査結果があります。最大の障壁となっているのは、AI モデルではありません。主な障壁は、データの品質・可用性・アクセス性・既存システムとの統合・ガバナンス・セキュリティなど、データやシステムであることが明らかになっています。先進的な企業では、あらゆる AI 戦略を最大化するために、単に最新のモデルを追求するだけでなく、「信頼できるデータ基盤」の構築に投資しています 。
AI がもたらす価値と現実とのギャップを解消するには?本イベントでは、AI を実現・加速・適応する最先端のソリューションをご紹介します。
Qlik のエキスパートによる基調講演、Qlik ユーザーの先進的な事例、Qlik 技術部門による最新の製品情報、Qlik のパートナー企業による最新のソリューションや展示ブースなどを予定しています。また、イベントの最後には、データのスペシャリスト同士の交流をお楽しみください。
お申し込みの締め切りは、6月 2日(火)17:00 までです。お早めにお申し込みください。
【開催概要】
日時:2026年 6月 10日(水)13:00 - 18:30(受付開始 12:00)
懇親会 18:30 - 19:30
会場:有明セントラルタワーホール&カンファレンス
東京都江東区有明3-7-18 有明セントラルタワー3F・4F
参加費:無料
お問い合わせ:Marketingjp@qlik.com までお問い合わせください。
The latest update to the App Analyzer brings a new feature: session-level data. Now, the App Analyzer can answer vital questions, such as which users are accessing which applications, how long they stay in each app, what sheets they use, the duration on each sheet, and the frequency of navigation between sheets. It also tracks the number of concurrent users within an app or across all apps in the tenant. The App Analyzer is released and updated by Master Principal Analytics Architect @Daniel_Pilla. He will monitor this thread should you have any questions.
In summary the App Analyzer’s key benefits include maintaining app size quotas, tracking user adoption, optimizing data models, and now analyzing user and session-level behavior.
The app analyzer can be easily programmatically installed along with all of the other monitoring apps via an out of the box Qlik Application Automation template. Please visit the links below for more information and to get started using it.
Hello Sitch users,
Starting April 30, 2026, all but three HubSpot Contact Lists API endpoints will be removed and return errors. Some Contact API endpoints will also be impacted. Details on affected endpoints can be found in Contact Lists API (v1) sunset moved to April 30, 2026 | hubspot.com.
To avoid any failures or data loss, all Qlik Stitch users are required to migrate their tasks to the latest HubSpot V4 version before April 30. All previous versions (v1, v2, v3) will no longer be supported.
If you have any questions, we're happy to assist. Reply to this blog post or take your queries to our Support Chat.
Thank you for choosing Qlik,
Qlik Support
I feel pleased to introduce Manikant Roy, Assistant Professor, Business Analytics at the Jaipuria Institute of Management in Noida, India.
Manikant’s journey with Qlik began long before he entered the academia world. It was at the start of his professional career in 2012 as a Business Intelligence Consultant that he worked extensively as a developer using QlikView. This early exposure to analytics and data visualization helped him understand the importance of data-driven decision-making in organizations.
In 2016, he became associated with the Qlik Academic Program through interactions with Qlik Academic Program Manager, Pankaj Muthe. That connection encouraged him to bring Qlik technologies into the academic environment, and since then he has actively advocated the use of analytics and data literacy in higher education.
Over the years, Manikant has incorporated both QlikView and Qlik Sense into his teaching. He developed semester-long courses for MBA, MSc, and BTech students covering areas such as Business Analytics, Data Visualization, and Business Intelligence. His teaching approach follows a progressive learning path where students begin with Qlik Data Literacy concepts, then move into Qlik Data Analytics fundamentals, and finally applied these concepts using Qlik Sense for business analysis and dashboard development.
Through this hands-on approach, students learn how to visualize data effectively, communicate insights, and make data-informed decisions. They use Qlik tools to develop dashboards, analyze real-world datasets, and complete academic projects and master’s dissertations. To date, he has trained more than 400 students in analytics and data visualization using Qlik technologies.
The impact of this learning has been very encouraging. Many students have secured internships and full-time roles in analytics and technology domains after learning these skills. Several alumni have progressed into senior technical positions in the industry, including technical leadership roles. One example is Anurag Chaudhary, a former student who is now working as a Tech Lead in a leading organisation. Such success stories highlight the importance of strong analytics education and practical exposure to modern BI tools.
Beyond the classroom, Manikant has actively conducted workshops, faculty development programs, and mentoring sessions across various colleges and universities in India. He regularly speaks about Business Intelligence and analytics using Qlik technologies at student events, hackathons, and academic forums. These engagements help students and educators understand how analytics tools can be applied to solve real-world business challenges.
At Jaipuria Institute of Management, Qlik technologies are integrated into the Business Analytics curriculum as an essential component of classroom learning. He encourages students to pursue certifications offered through the Qlik Academic Program, and more than 30 students from the institute have already completed certifications in Data Literacy and Data Analytics.
Looking ahead to 2026, Manikant’s goal is to further strengthen students’ ability to work with data and apply analytics concepts to real-world scenarios. The world today is more dynamic than ever before, and continuous learning is the key to staying relevant. By engaging students in practical analytics projects, real datasets, and professional certifications, his aim is to help them build the confidence and skills required to thrive in the data-driven economy.
From his perspective, being data-driven—both personally and professionally—is no longer a luxury but a necessity. With the rapid advancement of artificial intelligence and analytics technologies, organizations are increasingly relying on data to guide decisions. Manikant further adds, “Students must learn how to read, interpret, and communicate insights from data. Developing the ability to “read, write, and argue with data” is an essential skill for the next generation of professionals”
On a personal note, Manikant lives in Noida in the Delhi NCR region of India. He often says that he is a teacher by choice, not by chance. Over the years, he has mentored students from diverse backgrounds, helping them develop skills and prepare for careers in analytics and technology. Manikant strongly believes that education is one of the most meaningful ways to uplift individuals and contribute to society.
In addition to his academic work, he has been involved in mentoring initiatives for young learners. Manikant has been recognized as a “Gems of Mentor India” by the Atal Innovation Mission under NITI Aayog for mentoring school students and encouraging them to develop digital and innovation skills aligned with the vision of Viksit Bharat 2047.
Outside the classroom, he enjoys gardening and reading classical literature. Manikant is particularly interested in philosophical reflections about life and society. Whenever possible, he enjoys taking long drives with school friends on weekends, which gives him time to reflect and reconnect.
Manikant says, “I feel truly honored to be recognized as a Qlik Educator Ambassador after many years of advocating analytics education. Through this role, I look forward to connecting with educators across the world, learning from global best practices, and contributing to the promotion of data literacy. Empowering people with the ability to understand and use data is one of the most important educational missions of our time”
We welcome Manikant to the Educator Ambassador Class of 2026 and wish him all the best.
To know more about Educator Ambassadors, you could visit: https://www.qlik.com/us/company/academic-program/ambassadors
To learn more about the Qlik Academic Program, you could visit: qlik.com/academicprogram
Edited 9th of April, 2026: added clarity on when exactly intervals will be converted and to what value
Starting January 12, 2026, the 30-second interval option will no longer be available in the Qlik Automate scheduler.
This update prepares Qlik Automate for a future upgrade that will bring enhanced scheduling capabilities that are consistent with other Qlik products, including:
All automations using the 30-second interval will continue to work and run on the 30-second interval for now.
On or after April 20, 2026, automations that still use a 30-second interval will be migrated to a 1-minute interval. For example, 35 seconds will become 1 minute, 88 seconds will become 1 minute, and 90 seconds will become 2 minutes.
Please review your automations that use 30-second intervals to ensure they will function properly with a 1-minute interval.
Don't hesitate to reach out if you have any questions or address our experts directly in the Qlik Automate forum.
Thank you for choosing Qlik,
Qlik Support
Students walk in thinking business intelligence isn't for them. It belongs to the data scientists and tech specialists.
Then something shifts.
They start exploring data on their own. Asking real questions. Finding insights that matter. That moment when someone realizes they can actually think analytically, changes everything.
Gabriel teaches Business Intelligence, Data Mining, Analytics, Operations, and Negotiation at Universidad Mariano Gálvez and Universidad de San Carlos de Guatemala, always connecting theory to real challenges in business and management. At San Carlos, he recently expanded into teaching People Analytics in their HR master's program, a role that's grown his reach considerably.
But Gabriel doesn't teach software. He teaches confidence.
"I increasingly teach analytics not only as a technical subject, but as a decision-making capability that any professional can develop," he says.
His classes are hands-on. Students work with real scenarios: HR datasets for hiring decisions, performance metrics for strategy, problems they'll actually face at work. They compare Qlik, Tableau, Power BI, and Excel, not to memorize features, but to understand what each does best.
Qlik holds a special place in his teaching. "It's so easy to work with that students use it for their own first findings in data." The accessibility matters. No technical walls. No endless setup. Students get to the insight fast, and that's when confidence builds. For the working professionals in his classes? Qlik becomes real competitive advantage in their current roles.
Gabriel carries one hard-earned piece of wisdom he shares with every student:
When you first use Qlik at your job, don't use it for your most important decision.
Here's why: People get distracted by the shiny new tool. They notice the interface, the visualizations, the novelty. They're not thinking about what the data actually means. That divided attention weakens your credibility.
Gabriel learned this the hard way, twice. Early in his career, he presented Qlik findings for critical decisions, and people got caught up watching the tool instead of listening to the analysis.
So now he tells students: use Qlik first for lower-stakes presentations. Build familiarity. Once people trust it, then bring it to your most important decisions. By then, they'll see past the software and actually hear what your data is saying.
Gabriel is launching a professional development program for alumni. Not a one-time graduation experience, but a real pathway for people to come back and keep learning.
He's starting with Data Literacy and using Qlik as the entry point. "I chose Qlik for the introduction in the first stage of the program specially because it is an excellent choice for Data Literacy." Qlik's simplicity makes it the perfect gateway for professionals returning to sharpen their skills. No barriers. No intimidation. Just clarity.
His vision for 2026 extends beyond that too. He's weaving generative AI into his teaching, so students understand how emerging tech enhances analytical thinking. He's building learning experiences that stay hands-on, tied to real challenges, focused on actually turning insights into action.
"I have continued growing as both an educator and a consultant, especially through projects related to training systems, curriculum design, and capacity-building for institutions." For Gabriel, this work is personal.
Gabriel's decision to join the program is natural.
"I genuinely believe tools like Qlik can change the way people learn, think, and make decisions. As a professor, I have always wanted my students to go beyond memorizing concepts and actually experience what it means to explore data, discover patterns, and generate insight."
He also sees something bigger in the role: a chance to represent educators across Latin America. To show that analytics education isn't just a North American story. It's transforming classrooms in Guatemala and far beyond.
What makes Gabriel's story worth celebrating isn't credentials or course counts. It's that he redesigned his life around what matters, and he's using that clarity to open doors for others—students discovering analytics for the first time, alumni reconnecting with the field, and a region filled with educators like him who are transforming how Latin America thinks about analytics and data.
Because this is the story of Latin America's analytics future. It's happening in classrooms in Guatemala. It's happening with educators like Gabriel who refuse to accept that world-class analytics education happens somewhere else.
Gabriel isn't slowing down. He's expanding.
The real work is just beginning.
Are you an educator inspired by Gabriel's story? Join the Qlik Academic Program and access free Qlik Sense software, training, and a global community of educators. Visit: Qlik Academic Program Ambassadors
The impact of this approach is already clear.
“Since our last conversation, another student landed a role in data governance after engaging with the data literacy content in the Academic Program”, Alexander shares. “They found the Qlik learning experience fascinating — and it directly influenced their career direction”.
It’s a simple but powerful example of how exposure to real tools and real concepts can open doors — especially in emerging areas like data governance.
While Qlik remains a core part of the curriculum, Alexander is now taking things a step further.
He’s redesigning his course from the ground up — with AI at the centre.
“I’ve already started integrating more AI into the course, and the next iteration will be a full redesign”, he explains. “It’s something I want to refine through experience, but I believe it will fundamentally change how students learn analytics”.
His goal is clear: to develop business analysts who can work with AI — while still understanding the logic behind the tools they use.
He also brings an honest perspective on the challenges facing higher education today.
“There was already a growing gap between what universities teach and what the job market needs. Now, with AI, we’re seeing something even bigger — knowledge itself is becoming more accessible, and some entry-level roles are starting to disappear”.
Rather than seeing this as a threat, Alexander sees it as a necessary shift.
He compares it to aviation:
“Modern planes rely heavily on autopilot, but pilots still need to know how to fly. In the same way, students need to understand analytics tools — even if AI handles part of the process”.
That balance — between automation and understanding — is becoming central to how he teaches.
New focus: Agentic analytics and what comes next
Looking ahead, Alexander expects analytics to evolve alongside wider changes in the economy.
“With the rise of agentic systems, we’ll likely see new types of KPIs focused on automated or agent-driven processes. This will also lead to the emergence of ‘agent analytics’ as a field”.
By introducing these ideas early, he’s not just teaching students how to use today’s tools — he’s preparing them for what’s coming next.
Alongside his teaching, Alexander has also taken on a new role within the university as an AI Ambassador.
Here, he acts as a central point of expertise, supporting how AI is introduced and managed across programmes.
“One of my key priorities is helping ensure programmes become ‘AI-proof’ — either by integrating AI effectively or by designing ways to manage its use in academic settings”.
After a strong experience last year, returning to the Qlik Educator Ambassador programme was a natural next step. Through this role, Alexander continues to expand awareness of Qlik in academia while deepening his own expertise.
With a clear focus on AI, a commitment to practical learning, and a forward-looking approach to education, Alexander represents a new generation of educators — those who are not just adapting to change, but actively shaping it.
To learn more about the Qlik Academic Program and access free Qlik Sense software and training resources, visit qlik.com/academicprogram
Qlik Connect® は、Qlik が毎年開催するグローバルカンファレンスです。世界中のお客様、パートナー、そしてQlik社員が一堂に会し、最新のプロダクトロードマップや技術トレンド、導入事例などを共有する場として位置づけられています。
今年は、4月 13日〜 15日の 3 日間、米国フロリダ州キシミー(オーランド近郊)の Gaylord Palms Resort & Convention Centerにて開催されます。
今年のテーマは「Trusted AI at Scale」。AI をいかに企業の現場で信頼性高くスケールさせるか、をキーメッセージに、基調講演やハンズオンラボ、パートナー・顧客によるセッションなど、多数のプログラムが展開されます。
配信日時:2026年 4月 15日(水)午前 11:00(日本時間)
※海外からのライブ配信のため、配信開始時刻が 15 分程度遅れる可能性があります。
アジェンダ
※アジェンダは当日予告なく変更になる可能性がございます。
クリックテック・ジャパン(株)パートナー営業担当・技術担当が、熱気あふれる会場からライブでお届けします。参加無料!どなたでもご視聴いただけます。お時間になりましたら、以下のリンクよりご参加ください。
Within the Master’s Program in Information Systems, Blerim`s students enrolled in the mandatory Business Intelligence course explore the foundations of data-driven decision-making. The course introduces a broad spectrum of business intelligence concepts, including technologies, applications, and processes that allow organizations to gather, store, access, and analyze data effectively. A strong emphasis is placed on practical applications, enabling students to work with real-world datasets and develop analytics applications that support decision-making and generate actionable insights. For example, by integrating data from sources such as Inside Airbnb, students build interactive apps that uncover patterns, explore trends, and provide meaningful recommendations based on data.
Hands-on learning is central to Blerim’s teaching philosophy. Rather than relying solely on theoretical explanations, his courses encourage students to work directly with data, perform data exploration, design analytical workflows, and develop solutions to real-world challenges. This approach allows students to strengthen both their analytical thinking and problem-solving abilities while gaining experience with tools commonly used in industry.
Blerim mentions that students also have the opportunity to earn industry-recognized qualifications that complement their academic studies. Through partnerships with analytics platforms such as Qlik and KNIME, his students can gain valuable credentials that enhance their professional profiles.
Blerim also emphasizes the importance of connecting academic learning with industry practice. His courses regularly incorporate real business cases and insights from practitioners to ensure students gain exposure to real-world analytics challenges. He points out that guest lectures and workshops play an important role in this process. Recently, Stavros Orfanoudakis from Qlik delivered a workshop in the Business Intelligence course, sharing insights on the evolution of modern data platforms—from traditional data warehouses to open Lakehouse architecture. The session explored current challenges in data integration and demonstrated how organizations manage data on a scale.
“The lecture sparked strong engagement from students, many of whom continued the discussion even after the session ended, highlighting their interest in modern analytics architectures and industry practices.” Blerim says.
Beyond the classroom, Blerim is also actively involved in the global Qlik community. In 2025, he attended the Qlik Luminary Meetup 2025 in Lund where members of the Qlik ecosystem such as MVPs, Educator Ambassadors and Luminaries gathered to exchange ideas and discuss the latest developments in analytics. During the event, Blerim contributed as a subject matter expert in one of the workshops, collaborating with fellow educators, partners, and analytics professionals.
Through his continued involvement in the Qlik Academic Program, Blerim remains committed to preparing students for a future where data literacy, analytics, and artificial intelligence play an increasingly central role in decision-making. By combining academic foundations with hands-on analytics projects, industry collaboration, and qualifications he continues to equip students with the skills needed to succeed in the evolving data-driven economy.
We are proud to have Blerim Emruli as a longstanding member of the Qlik Educator Ambassador community and look forward to seeing the continued impact of his work at Lund University and beyond.
📢 Educators and students can access free Qlik software, training resources, and qualifications by joining the Qlik Academic Program: qlik.com/academicprogram
Angelika is based in the Netherlands and teaches at the University of Applied Sciences in Amsterdam (HVA). She remains the driving force behind the Minor in Data & Analytics, where she seamlessly embeds Qlik into her curriculum. Her mission is clear: to empower students with the tools, knowledge, and confidence they need to find their own path in the ever-evolving data and AI landscape. This year we even have a Guest lecture from Igor Alcantara Qlik Partner Ambassador and Qlik MVP live in Amsterdam, where he will be attending live and give a lecture about Qlik Predict and Qlik Answers. The power of the Qlik Community stands out where we all can work together and help students to grow in the field of Data &AI.
In 2025 and 2026, Angelika focused on developing various trainings through her work with the BDC Academy and for her projects at the Union where she works as an advisor and trainer. Her teaching philosophy continues to reflect her signature motto: “Think big, act small, scale fast”—encouraging her students to start smart and aim high. She’s also writing her second book with former Chief Learning Officer at Qlik Kevin Hanegan which will be a second version of the book Data Literacy in Practice which was launched on the 30th of November 2022 and has been sold over 5000 times across the world.
Angelika’s impact speaks for itself—nearly 40% of her students are now working in data-related roles, with some even leading IT departments where Qlik plays an integral role. Her classroom is a launchpad for real-world careers, and her students’ success stories are a testament to the practical and inspiring education she provides.
A true data advocate, Angelika believes that Data & AI Literacy is more vital than ever. In her words:
“Analytics is no longer a 'nice to have'—it’s a must. A Data & AI strategy, trusted data, and strong governance must be part of every organization’s roadmap. Only then can Data & AI thrive and deliver meaningful insights.”
She continues to challenge her students and organizations and her students to look at AI as a subset (advanced) of Data Literacy, as true AI Literacy requires Data Literacy, therefore it can't be seen as separate areas.
Angelika's dedication goes far beyond the classroom. She recently collaborated with her customer Van Oord on a powerful Qlik app that was spotlighted on the qlik.org platform by Julie Kae. This same project earned Van Oord the Transformation Award at Qlik Connect—a real-world success story that she proudly shares with her students as a source of inspiration and motivation.
When asked why she continues to serve as an Educator Ambassador, Angelika answered simply and sincerely:
“I just love the program. It gives my students the opportunity to get excited about Qlik Sense—just like I did—and bring that knowledge into the companies they work for.”
We’re proud to have Angelika as part of our community and look forward to another impactful year of collaboration. Her work continues to bridge academia and industry, building the next generation of data-literate leaders.
Join the Qlik Academic Program and access free Qlik Sense software, training, and a global community of educators. Visit: https://www.qlik.com/us/company/academic-program/ambassadors
The migration is complete.
Based on feedback, we previously extended the date from June to the 17th of September, 2026.
Qlik is improving how the Qlik Cloud platform handles themes and extensions. As part of this transition, existing themes and extensions were being moved to a new service.
While the migration has been ongoing in the backend for some time, we have surfaced a Migration status column in your Qlik Cloud Administration center. This status message helps you identify whether a theme or extension has been successfully migrated.
The column is temporary and will be removed at a later date.
Starting from last year (November 17th), themes and extensions were automatically migrated to the new service if:
What about inactive themes and extensions?
To protect customer-owned content, Qlik did not migrate unused themes or extensions. A migration only triggered if they have been:
The migration has been completed.
If your extension or theme has been inactive since November 17th, 2025 (10 months), or was otherwise corrupt, it will now be listed as Unavailable since the content was not migrated to the new service.
To verify your extension's or theme's status:
Possible Migration status values:
Unused content has been removed if it was not accessed or migrated by September 17th, 2026.
An in-product alert will have alerted you of any unmigrated extensions or themes.
If you have any questions, we're happy to assist. Reply to this blog post or take your queries to our Support Chat.
Thank you for choosing Qlik,
Qlik Support

📊Sales Performance Insights The North region appears to have the highest sales, closely followed by West and East, while South is slightly lower. Overall sales are strong (over 109M), indicating healthy business performance. 🏙️ City-Level Trends Surat (~11.9%) and Bangalore (~10.3%) are among the top contributing cities. Cities like Mumbai, Chennai, and Pune contribute fairly evenly (~9–10%), showing a well-distributed market. 🗺️ State-Level Insights Karnataka leads in state-wise sales (~15M), followed by Telangana and Maharashtra. There is a cluster of high-performing southern and western states, suggesting strong regional demand.

: 🚀 Revenue Growth Impact Strong performance in top regions and states (like North and Karnataka) means you can double down on high-performing markets to drive faster revenue growth. The slight dip in 2024 highlights a need for corrective strategies (promotions, new products) to avoid stagnation. 🎯 Market Strategy Impact Well-distributed city contributions reduce risk, but top cities (Surat, Bangalore) offer opportunities for targeted campaigns and expansion. Underperforming regions can be improved with localized marketing and pricing strategies. 📦 Product Strategy Impact High-value products (e.g., laptops) contribute significantly → focus on premium product positioning and upselling. Low-performing items (e.g., accessories with low sales) may lead to inventory inefficiencies, so consider bundling or discontinuation. 💰 Profitability Impact A high average unit price (~10K) suggests strong margins, but optimizing the product mix can further increase profitability. Better alignment of demand vs. supply reduces holding costs and wastage. 👥 Customer Impact With relatively fewer customers generating high sales, there’s an opportunity to: Increase customer base (acquisition campaigns) Boost retention and repeat purchases (loyalty programs) 📈 Decision-Making Impact Leadership can make faster, data-driven decisions using this centralized dashboard. Enables proactive actions instead of reactive ones (e.g., spotting declining trends early).

Sales managers, business analysts, and marketing teams use the app to track performance and identify trends. Executives rely on it for quick, data-driven decisions to drive growth and strategy.

The app uses structured sales data (customers, products, regions, and time) to generate insights. It applies advanced analytics like trend analysis, regional comparison, and KPI tracking to uncover patterns and support predictive, data-driven decisions.
Don't miss our next Q&A with Qlik! Pull up a chair and chat with our panel of experts to help you get the most out of your Qlik experience.
Qlik Cloud における AI の評価ガイド(日本語版)を公開します。Qlik Cloudにおける AI サービスや設計原則、基盤技術、セキュリティ制御について記述しています。
原文(英語)は Help サイトの Qlik Evaluation Guide にあります。
https://help.qlik.com/en-US/evaluation-guides/Content/ai/ai.htm
Qlik Cloud Platform、Qlik Cloud Analytics、Qlik Talend Data Integration についての評価ガイド日本語版は以前のブログをご参照ください。