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Product Innovation
By reading the Product Innovation blog, you will learn about what's new across all of the products in our growing Qlik product portfolio.
Support Updates
The Support Updates blog delivers important and useful Qlik Support information about end-of-product support, new service releases, and general support topics.
Qlik Academic Program
This blog was created for professors and students using Qlik within academia.
Community News
Hear it from your Community Managers! The Community News blog provides updates about the Qlik Community Platform and other news and important announcements.
Qlik Digest
The Qlik Digest is your essential monthly low-down of the need-to-know product updates, events, and resources from Qlik.
Qlik Learning
The Qlik Learning blog offers information about the latest updates to our courses and programs, as well as insights from the Qlik Learning team.
Recent Blog Posts
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Data Files Staleness Monitor
Data Files Staleness Monitor IPC Global The Data Files Staleness Monitor tracks the freshness of data files stored across a Qlik Cloud tenant, surfacing files that have not been updated within expected thresholds. Used by system administrators to proactively identify stale data before it impacts end users, the app provides a centralized view of file age across spaces and triggers automated alerts when critical staleness thresholds are breac... Show MoreData Files Staleness MonitorIPC Global
The Data Files Staleness Monitor tracks the freshness of data files stored across a Qlik Cloud tenant, surfacing files that have not been updated within expected thresholds. Used by system administrators to proactively identify stale data before it impacts end users, the app provides a centralized view of file age across spaces and triggers automated alerts when critical staleness thresholds are breached.
Discoveries
Some of the discoveries from using this app include: data files that had gone stale for extended periods without anyone noticing, inconsistent reload cadences across spaces, and specific files that were frequently at risk of staleness — insights that were previously only surfaced reactively when end users reported outdated data.
Impact
The app eliminates the need for manual file freshness checks, giving administrators an always-current view of data health across the tenant. Automated critical-staleness alerts ensure that stale data is caught and addressed before it reaches end users.
Audience
Primary users are Qlik Cloud System Administrators responsible for data operations and reload management. The app is monitored on a regular basis as part of routine data quality oversight and is referenced immediately when automated staleness alerts are triggered across any Qlik Cloud environment.
Data and advanced analytics
The app sources metadata directly from the Qlik Cloud tenant API, capturing file timestamps and space assignments at each reload. Staleness classification logic evaluates file age against configurable thresholds, enabling administrators to prioritize remediation by severity and track freshness trends across spaces over time.
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Data Files Staleness Monitor
onGuard Permission Audit IPC Global onGuard Permission Audit monitors user permission changes across a Qlik Cloud tenant in near real-time. Built for system administrators and compliance stakeholders, it detects role additions and removals across spaces, classifies changes by severity (Critical, High, Medium, Low), and maintains a timestamped change log for audit trail purposes. Used by PWCS to support governance reviews, access verificatio... Show MoreonGuard Permission AuditIPC GlobalonGuard Permission Audit monitors user permission changes across a Qlik Cloud tenant in near real-time. Built for system administrators and compliance stakeholders, it detects role additions and removals across spaces, classifies changes by severity (Critical, High, Medium, Low), and maintains a timestamped change log for audit trail purposes. Used by PWCS to support governance reviews, access verification, and proactive security monitoring — replacing manual permission checks with an automated, always-current view of who has access to what.Discoveries
Some of the discoveries from using this app include: permission changes that occurred without a formal access request, role discrepancies between users who should have equivalent access, and visibility into exactly when elevated permissions were granted or removed — detail that was previously unavailable without manual tenant reviews.
Impact
onGuard has shifted client's access governance from reactive to proactive, giving administrators and compliance stakeholders a live audit trail without manual effort. Permission anomalies that previously went undetected between formal reviews are now surfaced automatically and classified by severity.
Audience
Primary users are Qlik Cloud System Administrators and compliance stakeholders responsible for access governance. The app is accessed on-demand for audit reviews and permission verification, and is expected to be referenced regularly as part of ongoing security monitoring across the Qlik Cloud tenant.
Data and advanced analytics
onGuard sources its data directly from the Qlik Cloud tenant API, capturing space membership and role assignments across all users at each reload. Change detection is performed using hash-based delta comparison between reload cycles, with severity classification logic applied to categorize each permission event — enabling pattern analysis across users, spaces, and time.
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How is Qlik Empowering Future Data Professionals at University of Sheffield?
At the University of Sheffield’s Management School, students are gaining more than theoretical knowledge about business analytics — they are developing practical data skills that prepare them for real-world careers. Thanks to the work of Dr. Terrence Perera and the Qlik Academic Program, students are gaining hands-on experience with modern analytics tools that are increasingly in demand across industries. -
Qlik 評価ガイド（日本語版）の公開
Qlik 評価ガイド（日本語版）を公開します。Qlik のアーキテクチャ、信頼性やセキュリティなどをご確認いただけます。 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/Home.htmhttps://help.qlik.com/en-US/evaluation-guides/Content/pdfs/pdfs.htm Qlik Cloud Platform QlikのCloud 製品の基盤となるプラットフォームの技術概要です 。アーキテクチャ、セキュリティ、ガバナンス、信頼性に焦点を当て、各顧客が「テナント」として論理的に分離された安全な環境でデータ統合や分析サービスを利用できる仕組みを詳述しています Qlik Cloud Analytics アナリティクスプラットフォーム「Qlik Sense」を中心に解説したガイドです 。独自... Show MoreQlik 評価ガイド（日本語版）を公開します。Qlik のアーキテクチャ、信頼性やセキュリティなどをご確認いただけます。
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/Home.htm
https://help.qlik.com/en-US/evaluation-guides/Content/pdfs/pdfs.htmQlik Cloud Platform
QlikのCloud 製品の基盤となるプラットフォームの技術概要です 。アーキテクチャ、セキュリティ、ガバナンス、信頼性に焦点を当て、各顧客が「テナント」として論理的に分離された安全な環境でデータ統合や分析サービスを利用できる仕組みを詳述しています
Qlik Cloud Analytics
アナリティクスプラットフォーム「Qlik Sense」を中心に解説したガイドです 。独自の連想エンジンを基盤とし、AIによる洞察提案や自動化機能を備え、セルフサービス分析からレポート作成まで、あらゆるユーザーの意思決定を支援する機能をご説明します。
Qlik Talend Data Integration
データの統合・変換・配信を担うプラットフォーム「Qlik Talend Data Integration」の解説です 。リアルタイムの変更データキャプチャ（CDC）やノーコードでのデータ変換パイプライン構築により、信頼性の高いAI対応データを準備し、能動的なBIを実現する機能をご説明します 。
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Data Products for Analytics Now Available
Bringing trusted, AI-ready data products directly into Qlik Cloud Analytics Data Products for Analytics are now available in Qlik Cloud Analytics Premium and Enterprise and Qlik Sense Enterprise SaaS. With this release, you can turn your existing QVDs and datasets into governed, discoverable, and reusable data products, adding data quality, context, and ownership directly within your analytics environment. See how data products turn existing ... Show MoreBringing trusted, AI-ready data products directly into Qlik Cloud Analytics
Data Products for Analytics are now available in Qlik Cloud Analytics Premium and Enterprise and Qlik Sense Enterprise SaaS.
With this release, you can turn your existing QVDs and datasets into governed, discoverable, and reusable data products, adding data quality, context, and ownership directly within your analytics environment.
See how data products turn existing datasets into trusted, reusable assets for analytics and AI:
Stronger foundation for analytics and AI
AI is only as effective as the data it relies on. As AI becomes more a part of everyday workflows, the reliability of the underlying data foundation becomes more critical.
Data Products for Analytics help ensure that AI assistants, agents, and applications operate on datasets that are validated, explainable, and aligned with the rest of your business. Through Qlik MCP server, AI can access your trusted data products, establishing a reliable foundation for responsible, scalable AI and agentic workflows.
This shared foundation connects analytics, automation, and AI, so every insight is consistent and trusted.
Turn trusted data into trusted insight
This release brings data quality and governance directly into everyday analytics workflows, so you can move faster with confidence.
Data products and data quality capabilities are now accessible from your activity center, making it easy to manage. Build and launch applications and other analytics assets fast, right from data products with just a few clicks.
Easily see business context, data quality indicators, and the Qlik Trust Score to help you quickly understand whether data is ready to use. Ownership, lifecycle management, and end-to-end-lineage provide transparency and accountability to have confidence in your data.
With data products, teams can move faster from data to insight, reducing preparation time and accelerating analytics app development.
Find and reuse trusted data, faster
Data products make it easier to discover and reuse analytics-ready data across your organization.
You can browse certified, domain-focused data products under your centralized data marketplace to quickly identify the right asset using business descriptions, usage context, and visible quality and trust indicators. AI-generated summaries and field descriptions make it easier to understand contents in a dataset faster and reduce the time spent searching and documenting sources.
By making trusted data easy to find and reuse across analytics, applications, and AI workflows, teams can avoid redundant data preparation and duplicated effort. Get insights faster and turn existing data investments into a scalable foundation that supports consistent results across the business.
Get Started
Resources to learn more:
- What’s New in Qlik Cloud | Qlik Help
- Working with data products | Qlik Help
- Data Products | Qlik.com
- Maximizing Data Value in the Age of AI | White Paper
- From Digital Swamp to Strategic Asset: Taming QVD Chaos with a Data product Mindset | Blog
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Techspert Talks - Optimizing Qlik Cloud App Performance
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 March looked at Optimizing Qlik Cloud App Performance. 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 Part... Show MoreHi 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 March looked at Optimizing Qlik Cloud App Performance.
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:
- App performance evaluation tools
- How to improve app performance
- Development best practices
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Welcome Back Dr. Terrence Perera as Qlik Educator Ambassador for 2026!
We are delighted to welcome back Dr. Terrence Perera, Module Leader at the triple-accredited Management School of the University of Sheffield, as a returning Qlik Educator Ambassador. With over three decades of experience in UK higher education, Terrence continues to champion the role of data analytics in modern management education and inspire students to develop the analytical skills required in today’s data-driven business environment. -
Deprecation Notice: Qlik Analytics Connectors for Slack V2 and Facebook Insights...
The following connectors will be removed and are no longer recommended for further use: Slack V2 and Facebook Insights for Qlik Cloud Analytics Slack V2 and Facebook Insights for Qlik Sense Enterprise on Windows Slack V2 and Facebook Insights for the standalone Qlik Web Connector This change is driven by Slack’s updated app guidelines and requirements, which now classify exporting message data as unsuitable for external applications. The Qlik... Show MoreThe following connectors will be removed and are no longer recommended for further use:
- Slack V2 and Facebook Insights for Qlik Cloud Analytics
- Slack V2 and Facebook Insights for Qlik Sense Enterprise on Windows
- Slack V2 and Facebook Insights for the standalone Qlik Web Connector
This change is driven by Slack’s updated app guidelines and requirements, which now classify exporting message data as unsuitable for external applications. The Qlik Automation and Qlik Talend Cloud Slack connectors are unaffected.
The Facebook Insights connector will be deprecated at the same time.
When will the connectors be deprecated?
The removal timeline is as follows:
- Qlik Cloud Analytics: End of July 2026
- Qlik Web Connector (standalone): July 2026 release
- Qlik Sense Enterprise on Windows: November 2026 release
If you have any questions, do not hesitate to contact us through the Qlik Customer Portal.
Thank you for choosing Qlik,
Qlik Support -
Upcoming Maintenance for Qlik Cloud: March 2026
Qlik Cloud will undergo scheduled maintenance in March 2026. We’re upgrading and scaling our infrastructure to deliver a faster, more reliable, and seamless experience for you. These improvements strengthen performance, enhance stability, and ensure our platform continues to grow with your needs. The maintenance windows will occur per region and are expected to last a maximum of 60 minutes. What is the expected impact? Qlik Cloud will undergo s... Show MoreQlik Cloud will undergo scheduled maintenance in March 2026. We’re upgrading and scaling our infrastructure to deliver a faster, more reliable, and seamless experience for you. These improvements strengthen performance, enhance stability, and ensure our platform continues to grow with your needs.
The maintenance windows will occur per region and are expected to last a maximum of 60 minutes.
What is the expected impact?
Qlik Cloud will undergo scheduled maintenance that includes two separate impacts:
(1) Qlik Cloud – Identity Services (Limited to three Regions | 30 Minutes)
Qlik Cloud will experience a functional degradation of 30 minutes, during which its Identity Services are impacted:
Impacted Regions:
- Qlik Cloud – AWS – Asia Pacific (Mumbai)
- Qlik Cloud – AWS – Europe (Ireland)
- Qlik Cloud – AWS – US East (N. Virginia)
During this time:
- No new tenants can be created
- Users cannot be managed, which includes:
- Creating or inviting new users
- Updating user profiles
- Assigning groups
- Changing roles and permissions
- Deactivating or deleting users
- Group Management is unavailable, which includes:
- Creating new groups
- Modifying group settings
- Adding or removing members
- Updating group roles
- Role and Permission management is unavailable, which includes:
- Creating or modifying custom roles
- Updating permission assignments
- Changing role settings
No other impact is expected. Existing users can continue to log in and use their assigned Qlik Sense applications as normal. Automation and report features will continue to function without interruption.
If the existing user’s IdP (Identity Provider) information has changed, they may not be able to log in during the maintenance window. You may see the error BAD-GATEWAY, Invalid response from the upstream service.
Modifying roles or permissions during the maintenance window leads to a Failed to update role error with the error code IDENTITIES-10405.
(2) Qlik Answers (Global Impact – 60 minutes)
A full outage of Qlik Answers during the 60-minute maintenance window. Knowledge base indexing and any queries will fail to run.
Impacted Regions:
- Qlik Cloud – AWS – Asia Pacific (Tokyo)
- Qlik Cloud – AWS – Asia Pacific (Sydney)
- Qlik Cloud – AWS – Asia Pacific (Singapore)
- Qlik Cloud – AWS – Asia Pacific (Mumbai)
- Qlik Cloud – AWS – Europe (Frankfurt)
- Qlik Cloud – AWS – Europe (London)
- Qlik Cloud – AWS – Europe (Ireland)
- Qlik Cloud – AWS – US East (N. Virginia)
What do I need to do to prepare?
Be informed about the upcoming maintenance and alert your userbase if needed. No direct action is required from your end in preparation.
What follow-up actions are required?
None.
When will the maintenance take place?
The following tables include the maintenance start time for each affected region. To reiterate, the Qlik Cloud identity services are affected for 30 minutes, while the Qlik Answers maintenance is planned to last 60 minutes.
Region Maintenance Start Asia-Pacific (Tokyo)
(ap-ne-1)
Monday 9 March 2026
23:00 JST (Tokyo)
UTC: 9/03/26 – 14:00Asia-Pacific (Sydney)
(ap-se-2)
Thursday 12 March 2026
01:00 AEDT (Sydney)
UTC: 11/03/26 – 14:00Europe (Frankfurt)
(eu-c-1)
Monday 16 March 2026
21:00 CET (Frankfurt)
UTC: 16/03/26 – 20:00Asia-Pacific (Mumbai)
(ap-s-1)
Tuesday 17 March 2026
20:00 IST (Mumbai)
UTC: 17/03/26 – 14:30Europe (Ireland)
(eu-w-1)
Wednesday 18 March 2026
21:00 GMT (Ireland)
UTC: 18/03/26 - 21:00Europe (London)
(eu-w-2)
Monday 23 March 2026
21:00 GMT (London)
UTC: 23/03/26 - 21:00Asia-Pacific (Singapore)
(ap-se-1)
Tuesday 24 March 2026
22:00 SST (Singapore)
UTC: 24/03/26 - 14:00North America (N. Virginia)
(us-e-1)
Wednesday 26 March 2026
21:30 EDT (Virginia, US)
UTC: 27/03/26 - 01:30To track further updates during the scheduled Qlik Cloud Maintenance, please visit our Qlik Cloud Status page. This blog post will be updated with additional information where necessary.
Thank you for choosing Qlik,
Qlik Support -
(Re)Introducing the Qlik Sense Enterprise on Windows Admin Playbook
Hello Qlik Sense Admins! Are you looking for best practices on how to manage and maintain your Qlik Sense client-managed environment? Then look no further than our Qlik Sense Admin Playbook, which is now available directly on Qlik Help. What is this playbook, and where can I find it? The playbook provides you with a repository of administrative best practices, organized by cadence and category for Qlik Sense Enterprise on Windows, and can be ... Show MoreHello Qlik Sense Admins!
Are you looking for best practices on how to manage and maintain your Qlik Sense client-managed environment? Then look no further than our Qlik Sense Admin Playbook, which is now available directly on Qlik Help.
What is this playbook, and where can I find it?
The playbook provides you with a repository of administrative best practices, organized by cadence and category for Qlik Sense Enterprise on Windows, and can be found here: Qlik Sense Admin Playbook
It can also be accessed from the help site's top navigation bar > Playbooks (A) > Qlik Sense Administrator Playbook (B) :
Do you collect feedback?
Absolutely. To suggest improvements, please use the Leave your feedback here option on whichever page you want to comment on.
What about the old playbook?
Some of you may already be familiar with the playbook's previous iteration, and you will find that the old URL now redirects to the help site accordingly. The old content will be retired later in the year.
Thank you for choosing Qlik,
Qlik Support -
Meet Our Newest Qlik Community MVPs: Robert Mika & Andrea Gigliotti
Celebrating our newest MVPs -
Welcome back Daniel O'Leary-Qlik Educator Ambassador for 2026!
Daniel O’Leary continues to teach at the University of Southern California (USC), serving both the Marshall School of Business and the Leventhal School of Accounting. Additionally, he periodically teaches a course on information systems, data, and analytics in the International Executive Management in Finance and Controllership (IEMFC) program at UMIO, Maastricht University. -
Learn and Earn!
Advance through guided learning journeys and unlock awards and badges along the way.
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【オンデマンド配信】2026年製品ロードマップ：Qlik でデータを AI の原動力へ
ビジネスにおける AI 活用のニーズが高まる中、データを取り巻く環境は複雑化しています。データの役割は「人間が使うためのデータ」から「機械（エージェント）が意思決定をするためのデータ」へと変化しています。一方、AI は「人間が使うツール」から、自律的に思考して行動する「エージェンティック AI（Agentic AI）」へと進化を遂げつつあります。AI 活用の焦点が導入から運用に移行している今、AI による意思決定と行動を信頼し、コストを最適化して将来のビジネスを見据えた柔軟性を維持する必要があります。2026年 2月、Qlik は、新たなエージェンティック体験を提供する製品を発表しました。今後も急速な変化に対応する革新的な製品をリリースしていきます。 Qlik のデータ分析・データ統合ソリューションが、 どのように AI のパワーをビジネス成果につなげることができるのか？本 Web セミナーでは、クリックテック・ジャパンの技術担当者が、常に革新し続けている Qlik 製品のロードマップ... Show Moreビジネスにおける AI 活用のニーズが高まる中、データを取り巻く環境は複雑化しています。データの役割は「人間が使うためのデータ」から「機械（エージェント）が意思決定をするためのデータ」へと変化しています。一方、AI は「人間が使うツール」から、自律的に思考して行動する「エージェンティック AI（Agentic AI）」へと進化を遂げつつあります。AI 活用の焦点が導入から運用に移行している今、AI による意思決定と行動を信頼し、コストを最適化して将来のビジネスを見据えた柔軟性を維持する必要があります。
2026年 2月、Qlik は、新たなエージェンティック体験を提供する製品を発表しました。今後も急速な変化に対応する革新的な製品をリリースしていきます。Qlik のデータ分析・データ統合ソリューションが、 どのように AI のパワーをビジネス成果につなげることができるのか？本 Web セミナーでは、クリックテック・ジャパンの技術担当者が、常に革新し続けている Qlik 製品のロードマップをご紹介します。ぜひ、ご参加ください。
- これまでの意思決定を変革する新たなエージェンティック体験
- コストを価値を生む領域へ再配分する鍵となるオープンレイクハウス
- データの品質と信頼性を維持する再利用可能なデータ製品
※ 視聴無料。パソコン・タブレット・スマートフォンで、どこからでもごご視聴いただけます。 -
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Data Flow Processors
In this blog post, I will review some data flow processors that can be used to prepare your data in a data flow. Let’s start by quickly reviewing what a data flow is. In Qlik Cloud Analytics, a data flow is a no-code experience that visually allows you to prepare your data with drag and drop capabilities. It is intuitive and easy to use and does not require the user to have scripting experience. Data flow processors, along with sources and target... Show MoreIn this blog post, I will review some data flow processors that can be used to prepare your data in a data flow. Let’s start by quickly reviewing what a data flow is. In Qlik Cloud Analytics, a data flow is a no-code experience that visually allows you to prepare your data with drag and drop capabilities. It is intuitive and easy to use and does not require the user to have scripting experience. Data flow processors, along with sources and targets, are used to build a data flow. Each processor handles a specific data transformation task. Here you will find a full list of the data flow processors available.
This blog will touch base on a few processors to familiarize you with how they work and how easy they are to use. To begin, a data flow must first be created. There is more than one way to do this. From the Qlik Cloud Analytics catalog, click on the + Create new button and select Data flow or navigate to Prepare data from the menu and click on the add Data flow button at the top of the page.
+ Create new menu
+ Create new
Prepare data
Menu
Data flow
Once you name the new data flow, navigate to the Editor.
On the left, there are sources, processors and targets. The source is the data input, the processors are the data transformation types, and the targets are data outputs. Before we can look at the processors, we need to select our input data from the data catalog or a connection. Once that is in place, we can begin to explore the processor options. There are several data flow processors – too many to review in this blog but I will review three of the them - the Filter processor, the Join processor and the Unpivot processor.
Filter Processor
The filter processor filters data based on a condition. A processor can be added to the data flow canvas by dragging and dropping the processor onto the canvas or by clicking on the menu in the data source and selecting Add processor.
If you drag and drop the processor onto the canvas, you will need to connect the dots between the input and processor. If you add it from your data source menu, the dots will automatically be connected for you.
Each processor has a properties panel where the processor can be configured. In this example, let’s use the filter to select employees who live in the United States. To do this, first select the field to process – Country. There is an option to apply a function but one is not needed in this example. The operator will be equal, and the Value will be United States. Once the properties are entered, click the Apply button to save.
At the bottom of the page, I can preview the script (matching and not matching records) for the filter processor I just applied and see a preview of the data.
From the filter processor menu, there are a few options for my next step as seen below.
Add matching target will add a target to the data flow for the records that match the Country = United States filter. Add non-matching target will add a target to the data flow for the records that do not match the Country = United States filter. Matching and non-matching processors can also be added. For this example, I will add a matching target and in the properties panel, I will select the space, the extension (.qvd, .parquet, .txt or .csv) and the name of the target file. Like the sources, the target can be a data file or connection. Once I click Apply in the properties panel, I will see a message at the top right indicating that my flow is valid and ready to be run. Running the data flow will grab my Employees dataset, filter the data by country and store the results in a QVD named US Employess.
I now have a data file that has been transformed and prepared for use.
Join Processor
Now, let’s look at how we can join two data inputs into one data output. To do this, two data inputs are required. In the example below, ARSummary and ARSummary-1 are the two data inputs.
In the properties panel of the join processor, the join type is selected and the fields that should be used to link the two tables are selected. You can learn more about joins here. Once the target is added, the data flow can be run, and the result will be a single table with the records from the ARSummary table and the associated records from the ARSummary-1 table.
Unpivot Processor
If you are familiar with scripting, the unpivot processor is like a crosstable load. It allows you to rearrange a table so that column data becomes row data. It can transform a table like this:
To this:
Here is an example data flow with the unpivot processor:
In the properties panel of the unpivot processor, there are only a few settings to update. The first is the unpivot fields. Here is where the fields that we want to unpivot are selected. In this example, we want the year to be stored as row level data so we select them all.
The Attribute field name is the name we want to give to the unpivoted fields – in this case Year. The Value field name is the name of the data that is associated with the fields we are unpivoting – in this examples Sales.
After applying the changes and running the data flow, we will have a table transformed based on our specifications without any code.
In this blog post, we touched upon three of the many processors that can be used in a data flow. Note that a data flow can have many sources, processors and targets – it all depends on your needs. The visual interface of a data flow makes it easy to prepare your data without any code in an appealing design that is easy to follow. Try it out!
Thanks,
Jennell
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Cidados
Cidados Sebrae GO Dados abertos do Governo do Estado de Goiás Discoveries Cidados Impact Cidados Audience Dados abertos do Governo de Goiás Data and advanced analytics Dados abertos do Governo de Goiás -
Passport Learning Experiences | February & March 2026
Every month, Qlik Learning Passport holders (Instructor-Led Training Subscription) get access to exclusive live Learning Experiences designed to guide learning beyond individual courses. -
Welcome back as Qlik Academic Program Educator Ambassador : Chee-wai, Ho!
I am pleased to introduce Qlik Academic Program Educator Ambassador for 2026, Chee-wai, Ho from Republic Polytechnic, Singapore. This is his second term as the Educator Ambassador and we are pleased to have him yet again! 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 lite... Show MoreI am pleased to introduce Qlik Academic Program Educator Ambassador for 2026, Chee-wai, Ho from Republic Polytechnic, Singapore. This is his second term as the Educator Ambassador and we are pleased to have him yet again!
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.”
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Still Growing, Still Inspiring: Meet Our Returning Qlik Educator Ambassadors 202...
It's with great pleasure that we recognize Angel Monjaras once again as a Qlik Educator Ambassador for 2026, an educator whose dedication to his students speaks for itself, year after year.
