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Recent Blog Posts
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Qlik Cloud 9月の新機能
分析の新機能 シートのカスタム CSS スタイル指定 CSS で個々のシートのスタイルをカスタマイズできます。テーマでカバーされていない要素をカスタマイズできるようにすることで、カスタムテーマを補完するのに役立ちます。カスタマイズされたシート スタイルは、アプリケーションに適用されたテーマのスタイル... Show More分析の新機能
シートのカスタム CSS スタイル指定
CSS で個々のシートのスタイルをカスタマイズできます。テーマでカバーされていない要素をカスタマイズできるようにすることで、カスタムテーマを補完するのに役立ちます。カスタマイズされたシート スタイルは、アプリケーションに適用されたテーマのスタイルを上書きするためにも使用できます。
Qlik Analytics Migration Tool – v2.0.0 リリース
移行の計画と実行をより柔軟かつ効率的にし、依存関係を配置する新機能を導入しました。
- 移行計画: Excel のエクスポートとインポートによるプランの一括編集
サイトメタデータを空のテンプレート、ソース接続からの事前入力、または現在のプランに基づいてエクスポートします。Excel ワークフローは、反復的な一括編集、外部データの生成、インターフェイスでは利用できない高度な変換を可能にします。インポートは、GUID 修正用の注釈付きファイルで検証され、Excel データはサイトのメタデータとマージされ、ツール内でさらに更新されるため、最大限の柔軟性が得られます。
- 移行プラン: Data Gateway のサポート
Data Gateway をサポートするデータ接続は、プラン内で直接、または Excel を介して Data Gateway にバインドできるようになり、Qlik Cloud でのソース データへのアクセス方法をより細かく制御できるようになりました。
- プロジェクトとジョブ: スコープ別の標準ジョブリスト
[標準ジョブの作成] を選択すると、Qlik Sense Enterprise Client-Managed、QlikView、Qlik NPrinting などのプロジェクト スコープの入力を求めるプロンプトが表示されるようになりました。標準ジョブは、選択されたスコープに対して自動的に生成され、セットアップの手間を軽減します。
- ジョブ: ジョブの昇格と降格
実行順序を変更するために、ジョブはリスト内で昇格または降格させることができます。デフォルトでは新しいジョブは一番下に追加されるので、これは特に便利です。並べ替えることで、依存関係を反映した論理的な上から下への順序にジョブを揃えることができます。
- 移行計画: フォルダ データ接続モーダル更新
フォルダー接続のインターフェイスが改良され、わかりやすいデザインと名前の変更オプションが追加されました。アプリケーション スクリプトは、参照を更新するためにリネームされたファイルを検索できるようになりました。
データ統合の新機能
Qlik Open Lakehouse
Qlik Talend Data Integrationのパイプラインプロジェクトにおける強力な新機能であるQlik Open Lakehouse の一般提供開始しました。Qlik Open Lakehouse を使用すると、Apache Iceberg を使用した最新のデータレイクハウスを、AWS環境で簡単に構築および管理できます。
モニタリング機能拡張のための API
Qlik Talend Data Integrationにおける監視用APIが追加されました。
- GET/v1/di-projects/{projectId}/di-tasks/{dataTaskId}/runtime/state
- 既存の「プロジェクト タスクの実行状態を取得API をエンハンスしました。
- 実行状態、開始/終了時間、継続時間だけでなく、タスク データセット数 (エラー中のデータセットを含む)、ゲートウェイ ID、名前、getawayTaskName、連続タスクの待ち時間など、リアルタイムでのタスク監視に役立つ新しいフィールドが多数追加されました。
- GET/v1/di-projects/{projectId}/di-tasks/{dataTaskId}/runtime/state/datasets
- 実行時状態 API の改良に加え、タスクに関連するデータセットレベルの詳細 (データセット名と ID、データセットの状態、処理開始時刻と終了時刻、該当する場合は処理されたレコード数など) を提供する新しい「実行時データセット状態のリスト」をリリースしました。
パイプライン プロジェクトでのJSONカラム登録のサポート
データタスクは自動的に JSONカラムを検出し、JSONデータ型をセットします。
- 新しい JSON 論理タイプは、以下のデータ型にマッピングされます。
- Snowflake と Databricks： VARIANT
- Google BigQuery：JSON
- Amazon Redshift：SUPER
- Microsoft SQL Server、Microsoft Fabric、Azure Synapse Analytics：VARCHAR(max)
- さらに、すべてのタスクタイプは、手動でデータ型をJSONに変更し、関連する解析関数を呼び出して STRING から JSON に変換することをサポートしています。
Qlik Automate エディターにおけるブロック検索
自動化エディタのトップ バーにある虫眼鏡ボタン、または自動化エディタにいるときに Ctrl + F または Cmd + F (macOS) を押すことで利用できます。検索は自動化の一部であるコメント、ブロック、コネクタの結果を返します。
Qlik Automate がリロードの優先順位とリロード変数をサポート
- Qlik Cloud ServicesおよびQlik Platform Operationsコネクタのリロードブロックが更新され、Reload Weight（リロードの優先度）とReload Variables（リロード変数）がサポートされました。
- これにより、リロードの優先度を「重み」で設定したり、リロード実行時に変数を渡して動的なデータ更新が可能になります。
- 多くのアプリをリロードする際の制御性が向上し、より効率的な運用が実現できます。
パイプラインプロジェクトのWebhookをQlik Automateでサポート
Qlik Automateで、Webhook を使用して、これら4つのイベントのいずれかで自動化を開始するようにトリガーできるようになりました。
- パイプラインプロジェクトタスクが開始されました
- パイプラインプロジェクトタスクが停止しました
- パイプラインプロジェクトタスクが完了しました
- パイプラインプロジェクト タスクが失敗しました
データ製品の新機能
Qlik Trust Score の履歴をグラフィカル ナビゲーション
データセットの Qlik Trust Score の履歴をワンクリックで確認できます。各指標ごとにグラフで表示され、傾向の把握、変化の追跡、データ品質の進化の把握が容易です。イベントの表形式リストと組み合わせることで、時間の経過に伴う品質の変化についてクリアで詳細な洞察が得られます。
生成AIによるデータセットの説明を自動作成する機能の強化
生成AIによるデータセットの説明をより簡単に文書化する方法に、フィールド（項目）の説明が含まれるようになりました。
- Qlik Talend Cloudでは、生成AIを活用してデータセットの説明を記述することで、ドキュメント作成作業を迅速化できます。
- 今回のアップデートで、すべてのフィールドの説明も含まれるようになりました。データセット名と列名に基づき、生成AIを活用して説明が自動的に入力され、承認、拒否、または変更が可能です。
データ製品向けのOData準拠API
データ製品は、OData準拠のAPIエンドポイントを介して安全に公開できるようになりました。これにより、様々なサードパーティ・ツールからデータのクエリ、フィルタリング、利用が可能になりました。
- シームレスなシステム統合
- カスタムコネクタを開発することなく、データ製品をODataをサポートする各種ビジネスインテリジェンスツール、分析プラットフォーム、エンタープライズアプリケーションへ直接接続することが可能です。
- 価値実現までの時間短縮
- データの抽出と利用に必要な開発工数を削減します。標準化されたODataエンドポイントにより、アナリストおよび開発者は迅速にデータ活用を開始できます。
- 安全で管理されたアクセス
- APIエンドポイントには、データ製品に既に適用されているデータガバナンス、アクセス制御、および権限がそのまま継承されます。これにより、統制の取れた安全なデータアクセスが保証されます。
Talend の新機能
Qlik Talend Cloud移行ツールキット
- Qlik Talend Cloud移行ツールキットのドキュメンテーションは、Qlik移行センターに移動されました。詳細は、Qlik Talend Cloud移行ツールキットをご覧ください。
- Talend Administration Center タスク移行は、Talend Management Consoleの公開アーティファクトAPIでの変更のために修正されました。
その他、https://help.qlik.com/talend/ja-JP/release-notes/8.0/r2025-09 をご参照ください。
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Release of QlikView 12.100 IR moved to Fall 2025
Hello Qlik Admins, The release of QlikView 12.100 IR has been moved to the fall of 2025. Because of the release date's move, support for previous vers... Show MoreHello Qlik Admins,
The release of QlikView 12.100 IR has been moved to the fall of 2025.
Because of the release date's move, support for previous versions will be extended accordingly:
- 12.80 will be supported until the end of October 2025
- 12.90 will be supported until the end of October 2026
Further updates with the exact release date will be provided later in the year.
Thank you for choosing Qlik,
Qlik Support -
Qlik Cloud Analytics: modification to ad hoc download filename
Hello Qlik Cloud admins and users, An upcoming update to Qlik Cloud will change the default filenames generated during an ad hoc download of a char... Show MoreHello Qlik Cloud admins and users,
An upcoming update to Qlik Cloud will change the default filenames generated during an ad hoc download of a chart (such as Data, Image, or PDF).
Currently, the filename defaults to Qlik Sense - <object name> - <date>
Example: downloading from an object titled Investment Mix, the filename is Qlik Sense - Investment Mix - October 1, 2025
After the change has gone into effect, the default is <object name> - <date>
Example: downloading the identical file as above will now generate the name Investment Mix - October 1, 2025
When will this change be deployed?
This change will be deployed in two weeks following this post. The expected release is at or around October 27th, 2025.
Why is this change being made?
This change is being made to support customers in extending the platform to all enterprise use cases, whether interactive, embedded, or API integrated.
Thank you for choosing Qlik,
Qlik Support -
Using AI to Deliver Faster Data Quality at the Speed of Business
Today, we’re excited to announce a new Generative AI Data Quality Rule Assistant in Qlik Talend Cloud to close the data quality productivity gap. Our... Show MoreToday, we’re excited to announce a new Generative AI Data Quality Rule Assistant in Qlik Talend Cloud to close the data quality productivity gap. Our new feature works by profiling your datasets and uses AI to suggest applicable data quality rules. In fact, the 2025 Gartner Magic Quadrant for Augmented Data Quality solutions calls out that “By 2027, the application of generative AI (GenAI) will accelerate the time to value of data and analytics governance and master data management (MDM) programs by 40%”. Less time spent defining, testing, and deploying rules means faster delivery of trusted data for analytics and AI—with zero guesswork.
A smarter way to define data quality rules
To define data quality rules more intelligently, we first need to understand what a data quality validation rule actually does. It checks whether your data aligns with your business’s expectations — ensuring it follows real-world logic, not just technical constraints. For example, an insurance claim can’t exceed policy coverage, a shipment can’t leave before its order date, or a patient’s discharge date can’t be earlier than admission.
For organizations with large, diverse data estates, manually building every validation rule doesn’t scale and slows down data teams. Instead of starting every data quality validation rule from scratch, the new Generative AI Data Quality Rule Assistant accelerates this process by offering rule suggestions tailored to your data.
For example, let’s say you’re managing a streaming movie catalog stored in a Snowflake Data Cloud. The dataset has fields like TITLE, CONTENT_TYPE, KIDS_SUITABLE, and DURATION_MINUTES, ensuring the quality of this data would mean hand-coding dozens of data quality checks.
Our Generative AI Data Quality Rule Assistant profiles the Snowflake table, scans the metadata, and automatically suggests relevant validation rules. For non-Snowflake data assets, this works similarly.
Automatic data quality validation rule generation
In case of the above example, here are a few sample rules generated :
- Not empty check: Ensure that the TITLE is not empty
- Allowed values check: Ensure that HAS_SUBTITLES equals a valid value (0 or 1)
- Positive value check: Validate that DURATION_MINUTES is always greater than 0
- Consistency check: Enforce that if KIDS_SUITABLE is true, then AGE_RATING must be “G” and must not be “PG” and vice versa
Each rule comes with a logic preview so that business domain experts can easily see the logic each rule will apply to your dataset. You don’t need to reinvent the wheel — you simply select the relevant rules and proceed. In the data preview, you can select the column of the Snowflake table and see the data quality rules applied with a visual quality indicator.
Data validation rules associated with a particular column and quality bar
The result is a faster setup of trusted data quality checks, fewer bottlenecks waiting for data engineering teams, and confidence that your dataset is ready for analytics and AI.
Who doesn’t love productivity?
Data is moving faster than ever. Analytics pipelines run in real time. AI models retrain daily. Business teams need insights on demand. Manual and tardy rule creation doesn’t fit anymore — it creates bottlenecks, lost opportunities, and growing risks.
However, Generative AI Data Quality Rule Assistant in Qlik Talend Cloud adds intelligence to rule creation and gives organizations the following abilities -
- Faster delivery of trusted data – What once took days of manual effort can now be done in minutes. Stewards and engineers can review, edit, and approve rules before they’re put into place, ensuring oversight without slowing the process
- Broader coverage – Leveraging the data profile, uncover missing rules that were not previously defined
- Simplified collaboration– Empower anyone on the data and analytics team (including line-of-business users) to define data quality rules with ease
Conclusion
Data quality has always been essential — but in today’s world of real-time analytics and AI, speed is just as critical as accuracy. The Generative AI Data Quality Rule Assistant removes the bottlenecks of manual rule creation. The result: faster delivery of trusted data, broader rule coverage, and simpler collaboration across teams. It’s a leap toward our vision of making AI-ready, trusted data the foundation for every initiative. Want to dive in – check out our documentation to get started or sign-up for a free trial today.
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Conditional Background Images
In this blog post, I will illustrate two ways that an image in an analytics app can be changed dynamically based on selections. In one example, a layo... Show MoreIn this blog post, I will illustrate two ways that an image in an analytics app can be changed dynamically based on selections. In one example, a layout container and the show condition is used to control which image is visible. In a second example, an IF statement is used to determine which image URL to use. In the second example, I will also review how to obtain the URL for an image in the media library of an analytics app.
Let’s begin by looking at the first example. In this example, we have an app on automobiles. When the user selects one of the automobile names, a picture of the car will be visible. If no cars are selected, then an image of all 4 automobiles should be displayed. Below is the image with no selections and all 4 cars visible.
When the Nebula model is selected, the sheet updates and only the Nebula model is visible.
In this example, a layout container has 5 Text & image objects – one image for each automobile model and one image for all cars.
A show condition like this is used to determine if the Text & image object should be visible. Only one image will be visible at any given time.
Now, let’s look at another example of how the background image can be dynamically displayed using an URL. In this example, one Text & image object is needed. In the properties of the object, under Presentation > Styling, a background image can be set. When URL is selected from the drop-down list, the option to enter an expression is available. Note that you want to edit the Background image setting that is in Presentation > Styling, not the Background image section in the properties panel.
The IF statement below checks to see which automobile model is selected to determine which image to show. If there is not a selection on the model, then the image of all the automobiles is displayed. In this example, the URLs for the media library images were used, but you could also link to images in an external source like an Amazon s3 bucket.To find the URL for images in the media library, you can open the media library or use a sheet in the app that has the image on it. In my Chrome browser, I opened the Developer tools to inspect the image. In Chrome, the Developer tools can be opened by using Ctrl-Shift-I or from the three-dots icon in the upper right corner of the browser window and selecting More tools > Developer tools. Once the Developer tools window is open you can inspect an element by clicking on the Elements tab and then selecting the image in the highlighted box below. This will allow you to select elements on the page.
In the analytics app, click on the image in the library so that it appears in the preview window. When you click on the image in the preview window, you will see that a line in the html is highlighted. If necessary, expand the code to find the URL for the image.
Copy the URL that is listed in the src attribute for the img tag (see below). In the expression, you can use the full URL that includes https:// and the tenant name or just what is displayed in the src tag. Repeat these steps for each image.
I found this insight useful, and I hope you do, too. I would like to thank my colleagues @Charles_Bannon for the blog idea and use of his app to provide examples and @Ouadie for the tip on how to capture the media library URL.
Thanks,
Jennell
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Qlik Alerting: Removal of Force HTTP only capability
Hello Qlik Alerting Admins, With the release of Qlik Alerting November 2025, the capability to Force HTTP only will be fully removed. Why is Force... Show MoreHello Qlik Alerting Admins,
With the release of Qlik Alerting November 2025, the capability to Force HTTP only will be fully removed.
Why is Force HTTP being removed?
The change is motivated by two key reasons:
- It aligns Qlik Alerting with modern web security practices
- The configuration, while previously documented, was not functional for some time due to the upgrade-insecure-requests Content Security Policy
If you have any questions, we're happy to assist. Contact us using chat or reply in this thread.
Thank you for choosing Qlik,
Qlik Support -
【10/22（水）15:00 開催】自治体向け海外事例に学ぶ自治体が保有する情報の効果的な公開
自治体が保有するデータを活用し、住民サービスの向上や市政の透明性を高める取り組みが国内で加速しています。オープンデータの公開は、行政の信頼性向上や市民参加の促進、さらには地域課題の解決にもつながる重要な手段です。本 Web セミナーでは、海外の先進事例を交えながら、自治体がどのようにデータを公開し、... Show More -
Super Vendas
Super Vendashorus CDAMeu primeiro app Qlik.DiscoveriesAprendi a usar uma extensão de gráfico em mapa e a mudar dinamicamente uma série histórica.Impac... Show MoreSuper Vendashorus CDA
Meu primeiro app Qlik.
Discoveries
Aprendi a usar uma extensão de gráfico em mapa e a mudar dinamicamente uma série histórica.
Impact
Consegui desenvolver bastante novas habilidades para o meu primeiro app
Audience
Desafio da própria empresa
Data and advanced analytics
Habilidades de ETL e dashboard desenvolvidas nesse desafio
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HR Analysis
HR Analysis HORUS CDA The purpose of this app was to learn more about design and visual design with a generated DB in qlik. Discoveries Th... Show MoreHR AnalysisHORUS CDAThe purpose of this app was to learn more about design and visual design with a generated DB in qlik.Discoveries
The amazing amount of design possibilities with qlik sense.
Impact
The app has impacted my learning very much, now im able to help my company by creating better apps.
Audience
It was only used by me, i'm an intern.
Data and advanced analytics
Has helped the company by helping me learn
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We are spending trillions on AI data centers, but are we teaching people to unde...
Artificial intelligence is changing our world at lightning speed. Everywhere we look, new tools and technologies are being built to make things smarte... Show MoreArtificial intelligence is changing our world at lightning speed. Everywhere we look, new tools and technologies are being built to make things smarter and faster.
A recent New York Times article, What Wall Street Sees in the Data Center Boom, shows just how massive this transformation is. Trillions of dollars are being invested in data centers, the “brains” that power AI. But the article also reminds us that all this progress comes with a cost: higher energy and water use, pressure on local communities, and even the risk of a financial bubble if this growth is not sustainable.
Reading it made me stop and think: Are we investing as much in understanding data as we are in building it?
Here at Qlik, we believe technology alone doesn’t make the world better, people do. And people can only make good decisions with data if they know how to read it, question it, and use it responsibly.
That’s what the Qlik Academic Program is all about. We want every student and educator, no matter where they are or what they teach, to have the chance to learn how to use data to solve real problems.
Imagine if every student learning about AI today also asked:
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How can we make technology that helps the planet, not harms it?
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Are we designing systems that serve everyone or just a few?
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What does it mean to use data responsibly in a world driven by algorithms?
Those questions are where true innovation begins.
As the article points out, many companies are now rethinking how technology can drive progress that truly benefits everyone. That’s the same vision behind our Academic Program: to democratize knowledge, bridge the data gap, and empower people everywhere to use analytics for social good.
The AI revolution will be defined not only by algorithms and data centers, but by how wisely we use the data we already have.
Let’s make sure we are building not just the infrastructure for machines, but the understanding for humankind.
The Qlik Academic Program helps make this possible, giving educators, students, researchers, and universities everywhere free access to Qlik Sense, online training, and certifications to use data ethically and effectively.
💡 Join our global community for free: Qlik Academic Program: Creating a Data-Literate World
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Want to know how data literate you are?
Data is everywhere. Every decision, every process, every strategy is powered by it. But here’s the challenge: 👉 What if we don’t know how to interpr... Show MoreData is everywhere. Every decision, every process, every strategy is powered by it. But here’s the challenge:
👉 What if we don’t know how to interpret the data in front of us?
👉 What if we can’t tell the story behind it?That’s where Data Literacy comes in: the ability to read, work with, analyze, and communicate with data—regardless of role, skill level, or tools.
Improving your data literacy means:
✔ Asking better questions.
✔ Interpreting insights with confidence.
✔ Taking informed actions that drive impact.Yet…
📊 Only 24% of business decision-makers feel confident using data.
📊 Just 32% of executives are considered data literate.
📊 Among young people, only 21% are data literate.✨ Want to know how data literate you are?
Take this free assessment: The Data Literacy Project
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Qlik Introduces AI Improved Search with Semantic Search
Soon Qlik will introduced semantic search for Qlik Analytic apps. These improvements in the search feature will allow users to find applications by na... Show MoreSoon Qlik will introduced semantic search for Qlik Analytic apps. These improvements in the search feature will allow users to find applications by name or description using natural language search. What does semantic search mean? Semantic search allows a user to search for apps using context and intent to gain further useful results. Please keep in mind that a semantic search will only apply to app names and the descriptions, so make sure to describe your apps accurately for best results.
How can we put semantic searches to use? Maybe I want to find apps that contain information on mortgages. Before with Qlik, if I searched ‘mortgage’ in my search bar, I would get zero results.
Now with the improved search feature, I can use semantic search by clicking ‘Show more results’, to do a secondary search, powered by AI to look through my app catalog for results that may not contain the word ‘mortgage’, but words that are related to or relevant to mortgages. Below you will see that semantic search has found an additional app, ‘Consumer Bank 360’.
Semantic search uses AI to connect mortgages, and banks, giving you a relevant result.
Now we can take things a bit further. Maybe I want to explore my apps that are not only named after sports, but sports related as well. I can simply use natural language to query ‘sports related’. Before, I would receive zero results, but with the semantic search, I am given three results.
AI has connected that football and basketball are sports, returning the College Football Stats and 2021 NCAA Bracket Mania apps, but also recognized that that Recreation Equipment Sales app maybe also have information tied to sports.
These are great use cases, but that isn’t the extent of what semantic search brings to the table. Now the search feature can find results not only based on a few keyword matches, but now we can find results using a natural language search. For example, I could search using a full sentence, and return results based on that question. Here we’ve asked, ‘Can you give me information on Medical sales?’. And we’re returned apps that are related to medical sales.
Semantic search will soon be available in your own tenant. Be on the lookout for the updated ‘Show more results’ button so you can test out semantic search for yourself!
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Qlik Talend Cloud and Qlik Stitch: Upcoming new NetSuite REST Connector
Hello Qlik Talend Cloud and Qlik Stitch admins, Oracle has announced that starting with the NetSuite 2026.1 release, SOAP web services will no longe... Show MoreHello Qlik Talend Cloud and Qlik Stitch admins,
Oracle has announced that starting with the NetSuite 2026.1 release, SOAP web services will no longer be supported. You can read the official announcement in SOAP Web Services endpoint release and support policy changes (community.oracle.com).
To ensure a smooth transition and prevent any disruption to your data workflows, Qlik is actively developing a new NetSuite connector that leverages the REST API for Qlik Talend Cloud and Qlik Stitch.
As we move closer to the release, Qlik will keep you informed of:
- The targeted launch date of the new REST connector
- A recommended migration plan to help you prepare
- Details on the deprecation timeline for our existing SOAP-based connector
We’re committed to making this transition seamless and will provide all necessary guidance to support your migration.
Thank you for choosing Qlik,
Qlik Support -
Automating Management Summaries from Any Qlik Dashboard
Automating Management Summaries from Any Qlik DashboardGINQO This showcase demonstrates how to generate a management summary from any Qlik dashboard u... Show MoreAutomating Management Summaries from Any Qlik DashboardGINQOThis showcase demonstrates how to generate a management summary from any Qlik dashboard using Qlik Cloud Analytics, Qlik Application Automation, and Qlik Reporting Services. The workflow extracts chart data, processes it using any chosen AI model, and generates a report by combining the data, visuals, and commentary into a newsletter.Discoveries
This automation uncovers a new way to leverage Qlik dashboards, not just for interactive analysis, but as a data storytelling engine. Key discoveries include: The ability to transform any visualization into a management-ready summary using Qlik Application Automation. Streamlining insight delivery by connecting analytics directly to narrative reporting. Demonstrating how Qlik’s automation and reporting layers can replace manual interpretation and formatting.
Impact
This solution has both operational and strategic impact. It eliminates manual report generation, saving hours of analyst time per cycle, and leaders receive real-time summaries derived from dashboards. Bottom line: Faster insights, less effort, and higher business alignment.
Audience
Business Leaders & Executives Data & BI Developers Analytics Managers / PMs
Data and advanced analytics
While this project focuses on automation and reporting, it lays the foundation for AI-assisted analytics.
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How OData APIs Ensures Your Trusted Data Products are Consumable Everywhere
Today, we’re excited to introduce OData-compliant API access for Qlik Data Products. Every Qlik Talend Cloud data product published to the data market... Show MoreToday, we’re excited to introduce OData-compliant API access for Qlik Data Products. Every Qlik Talend Cloud data product published to the data marketplace with this newly released capability can now be securely accessed through an OData API endpoint, making it easier than ever to consume trusted data across your entire ecosystem.
Quick OData Protocol RefresherThe Open Data Protocol (OData) was conceived at Microsoft around 2007 as a novel way to bring uniformity and power to the then-emerging landscape of RESTful APIs. Its goal was to create a standard, HTTP-based protocol for creating and consuming queryable web services, much like JDBC or ODBC provided standardized access to databases. After its initial versions (1.0 through 3.0), Microsoft turned the technology over to the OASIS (Organization for the Advancement of Structured Information Standards) consortium. This transition led to its adoption and formal standardization as OData Version 4.0 in 2014, and it has since been approved as an ISO/IEC International Standard, cementing its status as a platform-independent, globally recognized best practice for data integration across a vast ecosystem of applications and platforms.
Turning Data Products into VALUE with APIsData and analytics teams can activate OData API access for one or more datasets in a data product. This creates API endpoints that can be consumed programmatically in BI tools like Microsoft Power BI, Tableau, or Excel, enterprise apps such as Salesforce, or even integrated into custom workflows and agentic AI experiences.
API Endpoint Activation
For example, take a Logistics & Shipping data product that contains datasets on orders, deliveries, suppliers, and shippers. When this data product is made available through an OData API, it delivers three key benefits -
Seamless Integration
Business teams can integrate the data product directly into their business workflow tools to track delivery KPIs, or into non-Qlik dashboards for enhanced supply chain visibility — all without any additional custom connectors.Inspect the API endpoints that are activated
Obtain the GET endpoint to access the table within the data product
Faster time to insightsWith OData API endpoints, analysts and developers can query and filter data products directly — but the impact is even greater when combined with tools like Qlik Automate using the API Key connector.
Configure the API Connector in Qlik Automate to leverage the OData API
For example, in a Logistics & Shipping data product, delivery details can be fetched via the FACT_DELIVERY GET API and used to auto-trigger workflows like customer alerts or ops notifications.Run the automation and see the listed results
Secure and governed access
API endpoints respect the same data governance, access controls policies, and permissions applied to the data products, ensuring the logistics data remains consistent and compliant across every touchpoint — from BI dashboards and custom business workflows to operational AI agents monitoring delivery anomalies.
ConclusionOData APIs broaden the reach of trusted data products beyond the native Qlik platform. Now, trusted data products can be securely consumed using third-party tools, enterprise apps, and AI agents — without extra connectors. This means seamless integration, faster time to insights, and governance at scale — turning what was once a scavenger hunt into effortless access. It’s a leap forward in our vision: making trusted data products instantly consumable anywhere, by anyone, in the tool of their choice.
To learn more, check out our documentation and grow the consumption of your data product with an OData API endpoint.
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Knowledge Nuggets 2025Q3
Knowledge Nuggets 2025Q3Insight ConsultingThe app showcases and organizes recent community contributions, serving as an additional learning resource.D... Show MoreKnowledge Nuggets 2025Q3Insight ConsultingThe app showcases and organizes recent community contributions, serving as an additional learning resource.Discoveries
Top contributors and topics
Impact
Serves as a additional learning resource
Audience
Qlik Developers and other stakeholders
Data and advanced analytics
Serves as a additional learning resource
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Get to Know our Expert Instructors!
This month we would like to introduce you to Michael Alegado. Michael is based out of Philadelphia and is our most tenured instructor here at Qlik! He... Show MoreThis month we would like to introduce you to Michael Alegado. Michael is based out of Philadelphia and is our most tenured instructor here at Qlik! He enjoys enabling students with the tools they need to gain the most out of the products Qlik has to offer
1. How long have you been with Qlik?
15 years now.
2. How did you become an instructor?
I have been in the training world for over 40 years. I started by training users on an insurance reporting system but also developed e-learning software as well as training project management and sales. Most of my training was around computer systems but I also performed soft skills training as well.
3. What do you love about teaching Qlik courses?
The Qlik software is a great product, so being able to enable people to learn how to use it and seeing their excitement is very gratifying.
4. How has the new platform helped you in leading your courses?
The fact that the training environment is in the same location as the manual makes things easier and is also much easier to enroll people.
5. What are your favorite features on the new platform?
The RDP delivery option of the training environment.
6. What is your favorite course to teach?
I really enjoy teaching Data Modeling for Qlik Sense – but at the end of the three days I’m exhausted!
If you’re in the AMER or EMEA regions, be on the lookout for Michael’s Live Instructor Webinars and register. We know you'll be in for an amazing experience!
Happy Learning!
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Connector Factory - July, August & September 2025 releases
Qlik Talend 40 new Qlik Talend Cloud connectors We’re continuing to expand the connectivity of Qlik Talend Cloud with the addition of more applicatio... Show MoreQlik Talend
40 new Qlik Talend Cloud connectors
We’re continuing to expand the connectivity of Qlik Talend Cloud with the addition of more applications that can now be used as a data source. These connectors will help companies eliminate the lengthy development time associated with custom connectors as well as accelerate user access to a wider variety of sources. The new connectors are for:
- AdRoll: Digital marketing platform for retargeting, display ads, and marketing automation.
- Amplitude: Product analytics powering user behavior insights and digital product growth.
- AppsFlyer: Mobile attribution and marketing analytics for accurate and performance measurement.
- BigCommerce: Cloud-based platform for building and scaling online retail or ecommerce stores.
- Braintree: Payment processing platform for accepting online and mobile payments globally.
- Campaign Monitor: Email marketing platform for personalized campaigns, automation, and analytics.
- Chargebee: Subscription billing, invoicing, and revenue management for SaaS and e-commerce.
- Chargify: Subscription billing for SaaS businesses, focusing on recurring revenue streams.
- Clubspeed: Venue management software for go-kart tracks, activity centers, and entertainment venues.
- Codat: API platform connecting business financial data to software and service providers.
- Deputy: Workforce management for scheduling, timesheets, tasking, and employee communications.
- Freshdesk: Customer support helpdesk with ticketing, knowledge base, and automation features.
- FrontApp: Shared inbox software for team email collaboration, support, and productivity.
- GitLab: DevOps lifecycle platform with Git repository, CI/CD, and project tracking.
- Google Campaign Manager (formerly DoubleClick Campaign Manager): Ad management and reporting platform for display and video campaigns.
- Google Search Console: Tool monitoring websites’ search presence, performance, and health.
- Harvest Forecast: Resource planning and scheduling tool for teams and projects.
- Heap: Product and web analytics platform with automatic data capture and actionable insights.
- HelpScout: Customer service platform offering shared inboxes and helpdesk ticketing tools.
- hubspot: All-in-one CRM with integrated marketing, sales, customer service, and automation tools.
- intacct: Cloud-based financial management and accounting software for growing and midsize businesses.
- Invoiced: Accounts receivable automation for invoicing, payments, and collections workflow.
- Iterable: Cross-channel marketing automation for personalized campaigns and audience engagement.
- Kustomer: Omnichannel customer service CRM for intelligent support conversations and tracking.
- Lever: Talent acquisition suite for applicant tracking and recruiting pipeline management.
- Listrak: Digital marketing automation for email, SMS, and e-commerce personalization.
- Looker: Business intelligence and analytics platform for data exploration and dashboards.
- Mailshake: Email outreach for sales, PR, and marketing campaigns with automation tools.
- Onfleet: Route planning and last-mile delivery management software for logistics operations.
- Oracle Eloqua: Oracle’s B2B marketing automation for campaign management and lead nurturing.
- Oracle NetSuite Analytics: Analytics platform for NetSuite ERP business data reporting and insights.
- Ordway: Automated billing and revenue management platform for subscription and usage-based businesses.
- Pepperjam: Affiliate and partner marketing technology, now branded as Ascend by Partnerize.
- Referral SaaSquatch: SaaS platform for running customer referral and loyalty programs.
- SaaSOptics: Subscription management and financial analytics for SaaS business metrics.
- Salesforce Marketing: Marketing cloud for email, social, mobile, and customer journey automation.
- Toggl: Simple time tracking tool for individuals or teams to boost productivity.
- UJET: Cloud contact center software combining voice, chat, and app support channels.
- UserVoice: Customer feedback, idea management, and support ticketing platform.
- X Ads (Twitter Ads): Advertising tool to create, manage, and analyze campaigns on X (formerly Twitter).
Qlik Analytics
New version of Direct Access gateway
The Qlik Data Gateway - Direct Access allows Qlik Sense SaaS applications to securely access behind the firewall data, over a strictly outbound, encrypted, and mutually authenticated connection.
We recently released Direct Access gateway 1.7.6 and 1.7.7 which, in addition to bug fixes, introduced the following enhancements:
- File (via Direct Access gateway) connector: Restricting file system access to specific spaces
- Support for applying changes without requiring a gateway restart
- Oracle (via Direct Access gateway) connector: Support for the Oracle TNS Names connection method
- Allowing connections to localhost using the REST (via Direct Access gateway) connector
- Support for the SAP Report connector
- Support for Direct Access gateway with Qlik Cloud Government DoD
- Alleviating latency caused by DNS resolution
- Configuring connector startup parameters
- Configuring connector startup
- Requesting load slots asynchronously
- New location for the installation logs
SAP Report Connector
- Now supports Qlik Cloud Government and Qlik Cloud Government – DoD in addition to Qlik Cloud and the Direct Access Gateway
New AI-related connectors
- Amazon Bedrock – Converse API
- Google AI – Gemini
Qlik Automate (Formerly Qlik Application Automation)
Updated Connectors
- Shared Automations now supported in Qlik Cloud Government and Qlik Cloud Government – DoD
- The Qlik Predict connector in Qlik Automate has been extended with a set of new capabilities and blocks that can be used to generate predictions and analyze the key features that influence the predicted outcome
- Block Search in the Qlik Automate Editor- return results for comments, blocks and connectors that are part of the automation
- Add export and import app blocks to the QCS connector
- Add a Raw API List request block to the Talend Cloud connector
- Variables & weight can now be set on reload blocks
- The Qlik Talend Cloud connector now supports Webhooks
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Qlik Sense and Vulnerability “CVE-2025-7783” in NPM Library form-data
Hello Qlik Users, In mid-July 2025, a vulnerability was disclosed in the NPM library form-data (GitHub Security Advisory). Qlik became aware of this i... Show MoreHello Qlik Users,
In mid-July 2025, a vulnerability was disclosed in the NPM library form-data (GitHub Security Advisory). Qlik became aware of this issue through its standard Secure Development Lifecycle (SDL) processes.
Following an internal review, Qlik R&D and Security teams identified that potentially vulnerable versions of the form-data library were included in some installations of Qlik Sense Enterprise for Windows. However, due to the specific way Qlik utilizes this library, the conditions required for exploitation are not met.
Although the vulnerability was determined to be non-exploitable within Qlik Sense, customers who prefer to upgrade to a version that includes the patched form-data library can do so by installing one of the following releases:
- May 2025 Patch 6
- November 2024 Patch 18
- May 2024 Patch 24
Note: An earlier version of this information was mistakenly published indicating that this CVE was directly related to Qlik Sense for Windows.
Thank you for choosing Qlik,
Qlik Global Support -
Qlik Sense Qualification Exams - 2024 Update
Qlik Education is pleased to announce the Business Analyst and Data Architect Qualification Exams have been updated. After completing the Business Ana... Show MoreQlik Education is pleased to announce the Business Analyst and Data Architect Qualification Exams have been updated.
After completing the Business Analyst or Data Architect courses or taking the Create Visualizations with Qlik Sense or the Data Modeling for Qlik Sense training, consider earning a Qlik Sense Qualification.
What is a Qualification Exam?
Qualification exams enable you to validate your fundamental level of Qlik Sense skills. The Qlik Sense Business Analyst Qualification is earned after developing an application and completing a multiple-choice exam which tests your fundamental and applied knowledge. A Qlik Sense Qualification Certificate and digital badge will be awarded with a minimum passing score of 70%.
How do I access the Qualification Exams?
Visit the Qlik Sense Business Analyst or Qlik Sense Data Architect Learning Plans --> Qualification Tab to access exams.
What do I receive after I pass?
After you receive a passing score, you will be awarded a certificate and digital badge for sharing on social sites. You will also receive notification from Credly platform that you have earned a digital badge. Credly allows you to manage your badges from Qlik and other professional organizations so you can easily share your badges on social media sites. You will need to simply accept the badge and click the share button or download the badge and certificate to keep for your records. You can even add their badges to your email signature!
Questions? Feedback?
Contact Education@qlik.com
