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Recent Blog Posts

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    blog

    Product Innovation

    Tabular Reporting within Qlik Cloud Analytics

    Tabular reporting capabilities have been a fundamental aspect of Qlik’s reporting software dating back to QlikView. At its core, it enables users to o... Show More

    Tabular reporting capabilities have been a fundamental aspect of Qlik’s reporting software dating back to QlikView. At its core, it enables users to organize and share data with stakeholders in structured table formats. There’s a reason people still love and use Excel.

    So — what exactly is Tabular Reporting with Qlik Cloud? What can it be used for? What is the state of this technology today? Let’s get into it.

    Customers now have the capabilities to conquer those ever-present report distribution requirements. Whether you need paginated tables of sales/transactional data or repeated sheets of departmental analysis directly within an application in Qlik Cloud, we've got you covered.

    With the introduction of Tabular Reporting, report developers can create custom highly formatted XLS or PDF documents from Qlik data and visualizations.

    Governed Report Tasks can burst reports to any stakeholder, ensuring that the Qlik platform serves as the source for your business decisions, customer communications, and more.

    Highlights of Tabular Reporting:

    Create dynamic tabular reports by combining the Qlik add-in for Microsoft Excel with report preparation features available within a Qlik Sense app.

    Deliver report output by email and to folders defined in Microsoft SharePoint connections. Reports can be in .xlsx or PDF format.

    Define report templates of Qlik data and visualizations and produce reports in PDF and Excel.

    Share branded, presentation-ready burst reports with internal and external stakeholders, with the self-service subscription ability to set up alerts.

    Manage in-app distribution lists to support burst distribution to any internal or external stakeholder.

    Control with governed report task control from within an integrated report preparation experience.

    Qlik Cloud Reporting capabilities will continue to expand with new features and functions that enhance collaboration and enable users to leverage insights derived from reports across their organizations.

    Ready to learn how to use these collaborative and tabular reporting features and want hands-on workshops? Join us in Orlando for Qlik Connect in June. You will even get insight into future releases during our roadmap sessions.

    Want to ‘keep tabs’ on Tabular Reporting and other Qlik Cloud Reporting updates on the horizon?

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    Design

    6 Things You Might Not Know About Qlik-cli

    Qlik-cli, known on the command line simply as qlik, is a command line interface for Qlik cloud. It provides access to all public APIs through the comm... Show More

    Qlik-cli, known on the command line simply as qlik, is a command line interface for Qlik cloud. It provides access to all public APIs through the command line, making it easier to perform administrative tasks. 

    By now, working with Qlik-cli might be an obvious choice, to enhance your experience, here are six (6) things you might not know about Qlik-cli.

    1. The alias command: 

    The alias command is a customisable command that enables you to create short names for commands that are not easy to remember. For example, if you want to list 50 items you would call qlik item ls --limit 50 .  

    Instead, you can create an alias i  or use any word that makes it easier for you to remember. 

    To create the alias you can call:  qlik alias i item ls --limit 50
     
    Therefore, next time you want to list 50 items you simply call:

     

     

    qlik i

     

    To see existing aliases you can call:

     

    qlik alias ls

     

    For more details call:

     

    qlik alias --help

     

     

    2. The edit command: 

    This command fetches the resource and opens it in your integrated development environment (IDE). This is most likely
    the editor defined by your 'EDITOR' environment variable or fall back to 'vi' for Linux or 'notepad' for Windows.

    The resource will be updated according to the changes made in the editor, upon saving.
    To use this command, for instance on a space, simply call:

     

     

    qlik space edit <spaceid>

     

     

    3. The Raw Command: 

    This is an advanced command that can be used to send HTTP API requests to Qlik Cloud.
    When called, this command will return the full response from the server, including pagination links.

    Note:  The raw command can be used for any public API in Qlik Cloud, and not only the ones natively supported in qlik-cli.
     
    As an example, you can use this command to get a response from the server on items.
    To do this,  simply call:

     

     

    qlik raw get v1/items

     

     
    Additionally, query parameters are specified using the --query flag and a body can be specified using one of the body flags that is: body, body-file or body-values.
     
     

    4.  The verbose flag: 

    The verbose flag can be used to get detailed information regarding a request and response. It is very similar to what you get when you use the -v flag with curl.  To log more information about a command or operation simply add -v to the command.

    For example, you can get more information upon app creation by calling:

     

     

    qlik app create -v

     

     

    This is the response you get:

     

     

    Server-type not set, guessing "cloud"
    POST https://yourtenant.qlik.com/api/v1/apps
    * Establishing connection to: yourtenant.qlik.com:443
    * TLS Handshake started
    * TLS Handshake done (188ms), version: TLS v1.3
    * Connection established (410ms)
    > Host:yourtenant.qlik.com
    > User-Agent: qlik-cli/2.16.0 (darwin)
    > Transfer-Encoding: chunked
    > Authorization: Bearer **omitted**
    > Content-Type: application/json
    > Referer: https://yourtenant.qlik.com
    > Accept-Encoding: gzip
    PAYLOAD:               
    {}
    < Cache-Control: no-store
    < Connection: keep-alive
    < Content-Length: 979
    < Content-Type: application/json; charset=UTF-8
    < Date: Wed, 11 Jan 2023 13:48:17 GMT
    < Pragma: no-cache
    < Strict-Transport-Security: max-age=15724800; includeSubDomains
    Response time: 2s
    
    Status: 200 OK
    {
      "attributes": {
        "_resourcetype": "app",
        "createdDate": "2023-01-11T13:48:15.996Z",
        "custom": {},
        "description": "",
        "dynamicColor": "",
        "encrypted": true,
        "hasSectionAccess": false,
        "id": "514******",
        "isDirectQueryMode": false,
        "lastReloadTime": "",
        "modifiedDate": "2023-01-11T13:48:17.373Z",
        "name": "514fffd9-bf9c-4f95-9b59-93040211d014",
        "originAppId": "",
        "owner": "auth0|e43**********",
        "ownerId": "OwnerID",
        "publishTime": "",
        "published": false,
        "thumbnail": ""
      },
      "create": [
        {
          "canCreate": true,
          "resource": "sheet"
        },
        {
          "canCreate": true,
          "resource": "bookmark"
        },
        {
          "canCreate": true,
          "resource": "snapshot"
        },
        {
          "canCreate": true,
          "resource": "story"
        },
        {
          "canCreate": true,
          "resource": "dimension"
        },
        {
          "canCreate": true,
          "resource": "measure"
        },
        {
          "canCreate": true,
          "resource": "masterobject"
        },
        {
          "canCreate": true,
          "resource": "variable"
        }
      ],
      "privileges": [
        "read",
        "update",
        "delete",
        "reload",
        "export",
        "duplicate",
        "change_space",
        "export_reduced",
        "source"
      ]
    }

     

     

    And this is what you get when you create an app without the verbose flag (-v):

     

     

    {                      
      "attributes": {
        "_resourcetype": "app",
        "createdDate": "2023-01-11T13:52:39.099Z",
        "custom": {},
        "description": "",
        "dynamicColor": "",
        "encrypted": true,
        "hasSectionAccess": false,
        "id": "9d*********",
        "isDirectQueryMode": false,
        "lastReloadTime": "",
        "modifiedDate": "2023-01-11T13:52:40.044Z",
        "name": "9d4c0950-ccd7-4824-9a96-db8f04a23716",
        "originAppId": "",
        "owner": "auth0|e43*********",
        "ownerId": "63*********",
        "publishTime": "",
        "published": false,
        "thumbnail": ""
      },
      "create": [
        {
          "canCreate": true,
          "resource": "sheet"
        },
        {
          "canCreate": true,
          "resource": "bookmark"
        },
        {
          "canCreate": true,
          "resource": "snapshot"
        },
        {
          "canCreate": true,
          "resource": "story"
        },
        {
          "canCreate": true,
          "resource": "dimension"
        },
        {
          "canCreate": true,
          "resource": "measure"
        },
        {
          "canCreate": true,
          "resource": "masterobject"
        },
        {
          "canCreate": true,
          "resource": "variable"
        }
      ],
      "privileges": [
        "read",
        "update",
        "delete",
        "reload",
        "export",
        "duplicate",
        "change_space",
        "export_reduced",
        "source"
      ]
    }

     

     

    5.  The Quiet flag:

    The --quiet or -q flag is used for chaining commands. For example, to get the last updated app you can call:
     

     

     

    qlik app ls -q | head -n1 | qlik app get

     

    The quiet flag can also be used to only return the resource IDs for an operation. For instance, if you are creating an app and only want the appId, you can call:
     

     

    qlik app create -q

     

     

    6. Autocompletion: 

    The autocompletion provided in Qlik-cli does not only autocomplete the known commands but can also be used to list the resource id used for a specific command. If you have configured autocompletion in your shell you can use TAB to go through space IDs for instance.

    Note: Completion should be added after Qlik-cli installation. You can see this tutorial on how to add completion.

     

    If you are just getting started with Qlik-cli, you can learn more here or  watch this video for an introduction to qlik-cli

    Feel free to add more cool things we should know about qlik-cli.

    /Gertrude.

     

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    blog

    Explore Qlik Gallery

    Athletics Injuries Analysis

    Athletics Injuries AnalysisLupus AnalitycsUncover global patterns in athletics injuries - 15,000 cases mapped across countries ,events and body parts.... Show More
    Show Less
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    blog

    Japan

    【8/27(水)15:00 開催】銀行業界向けデータ活用の課題と Qlik による高度化

    急速に変化する市場環境の中で、金融・インフラ・公共・流通・製造の各業界において、何が起きているのか?課題を解決して競争優位性を確保するにはどうすればよいのか? 本 Web セミナーシリーズでは、Qlik の業界担当営業が業界に特化した内容でお届けします。業界の最新動向、直面している課題、業界特有のニ... Show More

    急速に変化する市場環境の中で、金融・インフラ・公共・流通・製造の各業界において、何が起きているのか?課題を解決して競争優位性を確保するにはどうすればよいのか?

    本 Web セミナーシリーズでは、Qlik の業界担当営業が業界に特化した内容でお届けします。業界の最新動向、直面している課題、業界特有のニーズに即した具体的な解決策をご紹介します。さらに、データを活用して飛躍的な成功を遂げている企業の事例もご紹介します。

    • 膨大なデータを効率的に安全な方法で管理できていない
    • 分析に使いたいデータはあっても有効に活用できていない
    • 成功している企業では、どのようにデータを活用しているのか

    このような課題をお持ちの方に、今すぐ取り組むべき解決策をわかりやすく解説します。

    ※ 参加費無料。パソコン・タブレット・スマートフォンで、どこからでもご参加・ご視聴いただけます。

    今すぐ申し込む

    Qlik_JP_MKT2_0-1755081627459.png

    今すぐ申し込む

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    Design

    On Demand App Generation - Sooooooo much easier to implement! (VIDEO and samples...

     Let's face it - it usually takes a bit longer for features and capabilities of any product to gain traction in an organization.  We released On Deman... Show More

     

    Let's face it - it usually takes a bit longer for features and capabilities of any product to gain traction in an organization.  We released On Demand App Generation in 2018 with our Qlik Sense client-managed edition. Frankly I don't have much insight into whom has or has not implemented it. BUT, I can tell you from those that I have spoken with over the years, many were surprised to even see this awesome feature in the product when I brought it up. 

    However, in older versions, in order to enable it - there were a number of requirements which involved copying data load script along with inserting bindings and variables  - which at first glance could be perceived as cumbersome. Even the first time I worked with it, I was a bit overwhelmed. This was true for others as well, so much so, that some Qlik enthusiast even developed web app add-ons and extensions to simplify the process and generate the template for you.

    BUT....... since the release of ODAG, just like anything else, it has evolved and is now extremely simple to enable and implement.  I show you this process in my latest Do More with Qlik (archive link below) session and summarize the ODAG concept in the latest Qlik Sense in 60 video embedded in this post - so please be sure to check them out. Let me know what you think in the comments below. Stay tuned to my next post where I build on what we learned about ODAG to introduce you to Dynamic Views!

    On Demand App Generation - (ODAG - concept)

    In summary, ODAG was originally developed to meet the need of analysis of very large data sets.  The concept is quite simple:

    1. One Qlik Sense app displays summarized data with filters from the big data source.
    2. You select the filter values and reduce your answer set to meet a defined row count constraint.
    3. You click the app navigation link along the bottom to open the ODAG panel
    4. You click a button and a new more detailed app, dynamically built from a template, is generated directly from the source data with applied filters and defined metrics at a much more detailed level. That's it! 

    ODAG Requirements Summarized

    • Qlik Sense base app (contains summarized measures as KPIS and desired dimension values as filters)
      • Summarized data 
      • App Navigation link - linked to 2nd Qlik Sense template app
      • Defined row count constraint
      • App retention setting

    • Qlik Sense template app (contains detail KPIs and detailed analysis metrics)
      • Activation script with binding syntax
      • WHERE conditions with odag_ binding variables added to query

    Qlik Sense in 60 - On Demand App Generation (video)

    (Video transcript attached)

    Help Topics

    https://help.qlik.com/en-US/sense/February2021/Subsystems/Hub/Content/Sense_Hub/LoadData/using-OnDemand-apps.htm 

    Source data:

    https://www1.nyc.gov/site/tlc/about/tlc-trip-record-data.page 

    Presentation:

    Do More with Qlik Session - you may need to register to access it:

    https://gateway.on24.com/wcc/experience/eliteqliktech/1910644/2395144/do-more-with-qlik-for-beginners-and-beyond

    Register:

    https://pages.qlik.com/21Q3_QDEV_DA_GBL_DoMorewithQlikTargetpage_Registration-LP.html

    Sample Apps attached - ODAG - Apps - Taxi Trips.zip - (Note you need to add your data connection and access SQL etc to your data sources)

    Can't see the video? YouTube blocked by your region or organization? Download the .mp4 attached in this post to view this on your computer or mobile device.

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    Japan

    【開催報告】Data Design Duel – 第 5 回 Qlik データソン

    最初に、Qlik プリセールスの中嶋からの挨拶と今回の趣旨、評価基準などを説明しました。続いて、今回のアプリ審査員を務めた Qlik アナリティクス製品管理 ディレクター、Patric Nordström からのビデオメッセージをご紹介しました。流暢な日本語と英語を交え、「皆さまのアプリはとても素晴... Show More

    最初に、Qlik プリセールスの中嶋からの挨拶と今回の趣旨、評価基準などを説明しました。続いて、今回のアプリ審査員を務めた Qlik アナリティクス製品管理 ディレクター、Patric Nordström からのビデオメッセージをご紹介しました。流暢な日本語と英語を交え、「皆さまのアプリはとても素晴らしくて見るのが本当に楽しかったです。Qlik Analytics の新しい機能をふんだんに使ったアプリを審査する機会をいただいて光栄です。甲乙つけがたい数々の素晴らしいアプリを作成いただき、ありがとうございました。」と、参加者への感謝と労いの気持ちをお伝えしました。

    IMG_2364_2.jpg IMG_1061.JPG IMG_E2368.jpg

    ■ファイナリスト発表

    いよいよ全 58 のアプリを厳正に審査し、選出させていただいたファイナリストの発表です。Qlik プリセールスの鈴木から、20本のファイナリストのアプリの特徴を 1 つずつ丁寧にご紹介しました。どのアプリも力作で、他の参加者が作成したアプリのデザインを真剣な眼差しで見つめている会場の皆さんが印象的でした。
    *チーム参加の場合はチーム名、個人参加の場合は個人名を記載しています。()内はアプリ名です。

    パートナー部門

    ファイナリスト_パートナー.png

    ユーザー部門

    ファイナリスト_ユーザー.png

    吉野 智士さん(【TennisATP Records Inari623(HR analytics
    インサイトクラン(人材管理システム) 川上 直人さん(Health Care
    上野 夏恋さん(Qlik Hue Fujitsu DP All-Stars(日本食の世界における人気度)
    久米 弘文さん(CX 分析) AI’M Qlik(HealthCheck
    杉山 奈緒さん
    (ブランド比較アプリ・環境マネジメントアプリ)
    Data Practice Victors(MATCH COFFEE
    SUZUKI(Google アナリティクスのデータ分析) 堀井 正敏さん
    (宇宙(そら)からネットを見てみたら)
    Sayaka-Fukuhara(色彩図鑑) Under 31(CAR SELECTION
    Tomo(航空会社Twitter 分析) やすぎーズ(経費管理)
    老若男女
    SO Legends  - Iconic Japanese Baseball Players
     しみじみしじみ
    Qlik Facebook コネクター (コカ・コーラとペプシの FB ページ比較)
      YO(World Data Visualization

     

    ■アワード受賞者発表

    ついに…この瞬間がやってきました!デザイン王者の称号は誰の手に?!
    Qlik
    の中嶋から、ユーザー部門・パートナー部門に分けて、それぞれの賞を発表しました。受賞者の皆さまには、後日、トロフィーと豪華賞品(Meta Quest 3S Apple Watch など)を贈呈いたします。
    *チーム参加の場合はチーム名、個人参加の場合は個人名を記載しています。()内はアプリ名です。

    パートナー部門

    最優秀賞:SUZUKIGoogle アナリティクスのデータ分析)
    Google アナリティクスのデータを基に、レイアウトコンテナとアニメーションを組み合わせて制作しました。入口画面はインドの曼荼羅模様をイメージし、配色は赤を基調としたダークテーマという珍しい構成にしました。情報を前面に押し出すために基本はフィルターを排除し、必要な場合のみ右上から呼び出せるようにしました。ページ追加が容易になるよう設計し、SVG を活用した部品や Qlik Japan Blog の「Viz for Deck」を応用した表や地図も組み込んでいます。また、ユーザーがアクセスしたくなる仕掛けとして、おみくじが引ける機能を実装しました。結果は大吉から大凶までランダムに表示され、遊び心を加えています。

    IMG_E2456.jpg IMG_2392.jpg

    優秀賞:Sayaka-Fukuhara(色彩図鑑)
    業務とは関係なく、「自分の好きな色を詰め込む」ことをテーマにしました。構成は 4 シートで、1 シート目は表紙。ページを遷移する度に変わる名言を表示し、遊び心を加えています。さらに「おみくじ」機能があり、結果に応じて相性の良い色を表示します。最後の一覧ページでは、色自体やタイプ、モードで絞り込みが可能で、色相や彩度で並び替えもできます。背景色も変更でき、自分好みの色を探すことを楽しめるアプリです。

    IMG_E2489.jpg  IMG_2395.jpg

    審査員特別賞:久米 弘文さん(CX 分析)
    「徹底的にシンプルにする」ことをテーマにしました。構成は、左側にアプリ概要のメニューと各シート上部にメニューバーを配置。画面上部にはフィルターと主要指標をまとめ、いつでも確認できるようにしています。チャートは 〜 2 種類に絞り、大きく表示して必要な情報をすぐ取得できる形にし、画面下部には説明を添えてガイドとして機能させています。全体を通して、他の作品とは異なるアプローチですが、シンプルさにこだわった点が特徴です。

    IMG_E2432.jpg IMG_2385.jpg

    ユーザー部門

    最優秀賞:川上 直人さん(Health Care
    今回のテーマは「デザイン」でしたが、画面の見た目だけでなく、ユーザーの気持ちや行動まで設計することが重要だと考え、ヘルスケアをテーマにアプリを制作しました。データをきれいに見せるだけでなく、健康への関心を高められるよう、遊び心のあるギミックや癒しになるイラストを散りばめています。アプリは英語と日本語の切り替えに対応し、ホーム画面では健康状態の概要を一目で確認できます。こだわりのギミックとして、水分補給量に応じて水位が変わる SVG 表現や、歩数に応じてキャラクターの動きが変化し、目標達成時には花吹雪が舞う演出を実装しました。また、筋トレアイコンを押すと体の部位ごとの疲労度を表示するなど、直感的に楽しめる仕組みも取り入れています。

    Qlik_JP_MKT2_0-1755056194195.png IMG_2407.jpg

    優秀賞:Inari623HR analytics
    一人で短期間で開発したため、できるだけシンプルな画面構成を目指しました。「良いデザインは実用性がある」という考えのもと、SNS UI を参考に、特に X(旧 Twitter)や Instagram を模した構成にしています。左側のアイコンをクリックすると画面が切り替わり、たとえば最上部のアイコンではデータ概要を表示します。差別化のため、アラート的な機能を実装し、異常がある場合は白い丸がオレンジ色のビックリマークに変わるなどの表示を行います。選択内容によってアラートの表示・非表示が切り替わる仕組みです。また、従業員詳細ページでは ID を選択すると顔写真を表示できるようにしました(画像は生成したものを利用)。全体的に実用性を重視し、華やかな他作品とは異なるアプローチをとったことが評価につながったと感じています。

    Qlik_JP_MKT2_0-1755056342151.png IMG_2405.jpg

    審査員特別賞:AI’M QlikHealthCheck
    ジムと内科の健康診断を想定したシステムです。内科ページでは、問診票に回答すると、心臓・肺・肝臓それぞれのスコアが表示されます。喫煙の有無などの回答内容に応じてスコアが変動し、さらにシート内で臓器を選択すると、その臓器の詳細結果が確認できます。ジムページでは、運動頻度や項目に応じて結果が変化します。こだわりとして、スコアに応じて臓器の画像が切り替わる仕組みを導入。スコアが低い場合は黒く変色した悪い臓器、高い場合は健康的な臓器が表示されるなど、視覚的にも結果を実感できるようにしています。

    Qlik_JP_MKT2_1-1755056539052.png IMG_2412.jpg

    受賞された皆さま、おめでとうございました!
    なお、受賞者の Qlik Sense アプリは、日本語デモアプリサイト「Qlik Showcase」にて一般公開中です。ぜひ、ご覧ください!
    また、10/28(火)開催「Qlik ユーザーミートアップ」では、入賞者による講演を予定しています。Qlik ユーザーまたは導入検討中の方であれば、どなたでもご参加いただけます。ぜひ、お申し込み・ご参加ください!

    授賞式の最後は、クリックテック・ジャパン(株)執行役員 ソリューション技術本部長の濱野より、ご参加いただいた皆さまへ感謝のメッセージで締めくくりました。

    Qlik_JP_MKT2_0-1755056685904.png IMG_2478.jpg

    会場の盛り上がりはまだまだ続きます!Qlik の濱野による乾杯の音頭を皮切りに、懇親会がスタート。参加者同士の歓談はもちろん、よりカジュアルにお楽しみいただけるようダーツ大会を開催し、スコア順で Qlik のノベルティを選んでお持ち帰りいただきました。会話とダーツで盛り上がり、いつもと少し違うアワード授賞式&懇親会となりました。

    そして、クリックテック・ジャパン(株)執行役員 エンタープライズ営業本部長の槙野より、最後のご挨拶と一本締めで盛況のもとに終了しました。

     IMG_E2500.jpg IMG_E2504.jpg IMG_E2537.jpg

    ■最後に

    今回は、アプリ開発の達人のみならず、初心者でも挑戦できる “見た目が美しい魅せるダッシュボードだけ”を審査対象とした新たな試みのデータソンでした。審査員も唸るほどのアイデアとセンスを存分に表現した素晴らしいデザインのアプリを拝見し、「こんなこともできるんだ!」と、Qlik Sense の可能性を感じることができました。自身のスキルを試すだけでなく、他の参加者の成果物からヒントやアイデアを得られるのもデータソンの醍醐味ではないかと思います。ご参加いただいた皆さま、本当にありがとうございました!

    Qlik_JP_MKT2_1-1755056982364.png

     

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    Qlik Academic Program

    Can just a few hours of student activity predict the future?

    Stanford University researchers say yes. At the Learning Analytics and Knowledge Conference (LAK ’25), they revealed that looking at just two to five ... Show More

    Stanford University researchers say yes.

    At the Learning Analytics and Knowledge Conference (LAK ’25), they revealed that looking at just two to five hours of student activity in intelligent tutoring systems or educational games can predict, months in advance, how those students will perform on end-of-year standardized tests. Data from intelligent tutors helps predict K-12 academic outcomes, study finds | Stanford Report

    Researchers analyzed only the early interaction logs and used machine learning to spot patterns. The surprise? These short-term models were just as accurate as those built from an entire year of data.

    As Professor Emma Brunskill from Stanford explains:


    “In education, we often are interested in delayed outcomes like end-of-the-year assessments, but it would be useful if we could predict those outcomes using shorter amounts of data from educational software platforms.”

    This shows you don’t need massive datasets to uncover valuable insights, you need the skills to interpret them. Early predictions like this allow teachers to act sooner, whether that means offering extra help or providing greater challenges.

    That’s where data literacy comes in. When you know how to explore and interpret data, you can spot patterns early, act with precision, and track results over time.

    The Qlik Academic Program helps make that possible, offering free access to Qlik Sense analytics software, self-paced training, certifications, and resources to apply insights ethically and effectively.

    Ready to explore your own data?

    Join for free: www.qlik.com/academicprogram

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    Community News

    Community Manager Appreciation Day 2025!

    Today is Community Manager Appreciation Day, and we want to take a moment to express our heartfelt gratitude to the incredible Community managers and ... Show More

    Today is Community Manager Appreciation Day, and we want to take a moment to express our heartfelt gratitude to the incredible Community managers and moderators who work tirelessly to make our Qlik Community a welcoming, engaging, and valuable resource for all.

    Our Community managers wear many hats - they are mentors, problem-solvers, connectors, and champions of collaboration. Every day, they:

    • Ensure our community remains a positive and supportive environment for learning and sharing
    • Facilitate meaningful discussions and knowledge exchange
    • Connect members with the resources and expertise they need
    • Champion your feedback and ideas to improve our Community continuously
    • Foster an inclusive space where everyone's voice matters

    These dedicated individuals work behind the scenes to maintain the high standards of our Community while creating opportunities for meaningful engagement and growth. Their commitment to supporting your analytics, data integration, AI journey and fostering connections between members has been instrumental in building the thriving Community we all enjoy today.

    We invite you to join us in celebrating our Community Managers and Moderators. Feel free to share your appreciation or a positive experience you've had  in the comments below. Your kind words mean the world to them!

    Thank you to our amazing Community Managers and Moderators for their unwavering dedication to making the Qlik Community a place we're all proud to be part of. @SarahUrbiss @Jamie_Gregory @nicole_ulloa @Melissa_Potvin @calebjlee @Tammy_Milsom 

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    Support Updates

    Qlik Automate: Changes to error handling for Qlik Reporting connector

    Hello Qlik Automate administrators and users, Based on feedback, Qlik has changed the way errors are handled in the Qlik Reporting connector for Qlik ... Show More

    Hello Qlik Automate administrators and users,

    Based on feedback, Qlik has changed the way errors are handled in the Qlik Reporting connector for Qlik Automate. The change was rolled out on August 12th2025.

    The following blocks will be replaced to facilitate the changes:

    • Get Chart Image
    • Get Pixel Perfect Report
    • Get Tabular Report

    The functional change of the new blocks centers on error handling. While the old blocks output a simple failed string in case of an error, we wanted to update this output to include the full error object, including the status code and reason.

    Additionally, in certain situations, the old blocks would have a successful run even though the output is an error; we updated this behavior so the new blocks will error out in any situation involving an error. 

    What does this mean for me?

    The old blocks were renamed, flagging them as deprecated. Example: Get Chart Image (deprecated)

    The new blocks retain the old names and are referenced in the description of the old blocks. 

    The action needed by Qlik Automate administrators and users is to switch from the (deprecated) blocks to the new ones. 

     

    If you have any questions, we're happy to assist. Reply to this blog post or take similar queries to the Qlik Application Automation forum.

    Thank you for choosing Qlik,
    Qlik Support

     

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    Japan

    【10/28(火)13:00 開催】Qlik AI Reality Tour Tokyo 2025:Do Data Differently - データで常識を超...

    Do Data Differently - データで常識を超える変革を - 来たる 10/28(火)、 The AI Reality Tour Tokyo 2025 を開催します。 AI の普及が急速に進み、誰もが AI のパワーを活用するようになりました。AI は、あれば便利なものではなく、今日... Show More

    2025-08-12 100138.jpg

    Do Data Differently - データで常識を超える変革を -

    来たる 10/28(火)、 The AI Reality Tour Tokyo 2025 を開催します。

    AI の普及が急速に進み、誰もが AI のパワーを活用するようになりました。AI は、あれば便利なものではなく、今日のビジネスに欠かせないテクノロジーとなり、AI を効果的に導入・活用しない企業は後れをとるとも言われています。

    なぜ、AI に Qlik なのか?Qlik は、強力なデータ統合、責任あるガバナンス、独自の分析エンジン、最先端の AI ソリューションで、AI を活用したインサイトの獲得を可能にし、最適な意思決定と行動をサポートします。

    本イベントでは、予測 AI・生成 AI・エージェンティック AI を統合した Qlik の最新製品をご紹介する基調講演をはじめ、Qlik のユーザーが語る先進的な事例、Qlik のパートナー企業による最新のテクノロジーやソリューション、展示ブースなど、貴社の AI 戦略を成功に導く最新情報をご紹介します。詳しい講演概要は近日公開予定です。

    お申し込みの締め切りは、10月 21日(火)17:00 までです。お早めにお申し込みください。

    Qlik 認定資格受験の無料クーポンをプレゼント!

    本イベントにご参加いただいた方へ、ご希望に応じて Qlik 認定資格を無料で受験いただけるクーポンをプレゼントいたします。お申し込みの際に、ご希望の認定資格をご選択の上、お申し込みください。認定資格の詳細はこちらをご確認ください(英語のみ)。

    ※ 定員に達し次第、お申し込みを締め切らせていただきます。
    ※ 定員を上回った場合や競合他社のお申し込みは、参加をお断りする可能性がございますので、予めご了承ください。
    お席をご用意できた方には、「申し込み完了」メールをお送りします。また、10/27(月)に、配信元 E メールアドレス「noreply@event-planner.net」から入場用 QR コードを E メールでお送りします。
    ※ プログラムは予告なく変更になる可能性があります。予めご了承ください。
    開催報告記事などのための撮影が入る予定です。お姿や資料などが認識できない形での公開に配慮いたしますが、予めご了承ください。

    【開催概要】

    日時:
    2025年 10月 28日(火)13:00 - 18:00(12:00 受付開始)
              懇親会 18:00 - 19:00

    会場:
    神田明神ホール
               東京都千代田区外神田2-16-2 神田明神文化交流館2F

    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。

    今すぐ申し込む

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    Nike best Models for last 5 years

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    Qlik Education

    Coming soon to Qlik Learning: My Learning & Up Next Update

    We are excited to update Qlik Learning with the newly designed learning experience My Learning.  My Learning consolidates Favorites, History, Skills,... Show More

    We are excited to update Qlik Learning with the newly designed learning experience My Learning. 

    My Learning consolidates Favorites, History, Skills, Credentials, Challenges into a single, intuitive spot for your learning experience. My Learning can be accessed via Top Navigation Menu (requires logging into Qlik Learning with your Qlik Account)  

    Bilge_Kara_0-1754675648821.png

     

    Or via Learner Dropdown: 

    Bilge_Kara_1-1754675648823.png

     

    A new Up Next feature included within the My Learning is a single, dynamic view that keeps learning relevant & help prioritize and track dynamically ordered required, recommended, and self-enrolled learning. Completed enrollments are automatically cleared while remaining accessible in the History tab or in Favorites.  

      

    Bilge_Kara_2-1754675648825.png

     

     

    Log into Qlik Learning to see the updated Navigation.
    Reach out to us on any question at
    education@qlik.com Happy Learning! 

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    Support Updates

    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 More

    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 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

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    Product Innovation

    Qlik Talend Cloud Introduces Cross Project Pipelines and AI Processor for Snowfl...

    I’m thrilled to write this installment of Qlik’s innovation blog because the new Qlik Talend Cloud features I’ve chosen to highlight are two of the ca... Show More

    I’m thrilled to write this installment of Qlik’s innovation blog because the new Qlik Talend Cloud features I’ve chosen to highlight are two of the capabilities I’ve been testing over the past few weeks. So, without any further ado let's dive into these exciting new capabilities!

    Cross Project Pipelines

    Since it’s inception, Qlik Talend Cloud pipelines have offered straightforward design metaphor. Often, you’d create a pipeline for a single data source that continually landed, merged and transformed data changes into a single target, such as a cloud data warehouse or lake. As time progressed the ability to add multiple data sources to a pipeline was introduced, and dedicated replication tasks with multiple targets followed a short time later.

    Qlik Talend Cloud Data PipelinesQlik Talend Cloud Data Pipelines

    However, many customers gave feedback that they’d like pipelines to be more modular, especially as projects became bigger and more complex. Modularity would not only increase component reusability, but also enable pipelines to be segregated by business domain. In addition, pipeline development would be more flexible while adhering to the best data-design practices.

    Well, I’m happy to announce that “Cross Project Pipelines” are now generally available in all tenants. You can split complex pipelines consisting of multiple ingestion and transformation tasks into components that can be reused by other projects providing greater design flexibility and simplified pipeline management. In addition, Cross Project Pipelines can be segregated by data domain to encourage Business Domain Data Product or Data Mesh design principles.Cross Project PipelineCross Project Pipeline

    AI Processor Snowflake Support

    At the end of 2024, we released an AI processor that allowed you call native Databricks AI functions in a Transformation Flow without the need to hand code SQL. Databricks AI functions are a set of built-in SQL functions that allow you to apply AI directly to your data within SQL queries. This means you can use powerful AI models for tasks like sentiment analysis, text generation, and more, all from your Qlik Talend Cloud pipelines. If you can’t remember that far back then checkout this Qlik community blog post “Inject AI into your Databricks Qlik Talend Cloud Pipeline

    While many of our Databricks customers were overjoyed, the Snowflake proponents felt very left out, regularly commenting that Snowflake Cortex offered similar features too. Those comments were frequently followed by the question of “When will Qlik’s AI processor support Snowflake too?” Once again, I’m happy to say we’ve listened, and now the AI processor also supports Snowflake Cortex AI functions as well! The details of how to use Snowflake Cortex go beyond the scope of this blog post but stay tuned because a detailed article and demo of this feature will be published shortly. Until then, look at the screenshot below to see the AI processor in action and follow the link for more information about Snowflake Cortex LLM functions.

    Transformation Flow and AI ProcessorTransformation Flow and AI Processor

    Wrap Up and 2025 Roadmap Webinar

    Well there you have it. Two great new features that expand the usefulness and uses of Qlik Talend Cloud, but it doesn’t stop there. If you’re curious about what other innovations, enhancements, and improvements are coming to the Qlik platform in 2025 then join our Qlik Insider Webinar - Roadmap Edition that’s taking place on February 26th. Follow this link and register today!

     

     

     

     

     

     

     

     
     
     

     

     
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    Qlik Academic Program

    Qlik Academic Program and ICT Academy engagement

    ICT Academy is a non profit institution based in Chennai an initiative of the Government of India in collaboration with the state Governments and Indu... Show More

    ICT Academy is a non profit institution based in Chennai an initiative of the Government of India in collaboration with the state Governments and Industries. They work on various initiatives with their goal of skilling students and educators on new technologies and making them job ready. Besides their home state of Tamil Nadu, they have a presence in many States in India, including Maharashtra, Telangana, Karnataka, Andhra Pradesh etc. 

    In the last 13 years, ICT Academy has strived on every aspect to provide a holistic service to every stakeholder of the education ecosystem in developing the next generation of talent pool in India to make them industry ready employees, innovators, entrepreneurs and leaders.

    Through its various initiatives, ICT Academy has been part of strengthening the India’s four important visions on Skill India, Digital India, Startup India and Make in India. ( reference: https://ictacademy.in/

    With the Qlik Academic Program, the relationship with ICT Academy has been very active during their annual campaign, called Learnathon which opens the doors for students and faculties to get trained on various technologies in a time bound manner. During this campaign, over 1.5 lakh students potentially get trained on new technologies through the learning and academic platforms of vendors like Qlik. 

    This year too, Learnathon has been planned in August and September and will see many students getting skilled and ready for the job market. We are hoping many students are onboarded with the skills required in data analytics with the Qlik Academic Program's latest offerings. They have an opportunity to get trained on Qlik Sense, one of the in-demand data analytics software and also get qualified and certified on the courses offered under this program. Over 3500 colleges and university students have already benefitted from this program. 

    If you wish to know more about the Qlik Academic Program, visit: qlik.com/academicprogram 

     

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    Support Updates

    Qlik Automate: Change in Automation Connection permissions for Analytics Admin r...

    Hello Qlik Automate admins and users, Previously, it was possible for Analytics Admin to move an existing automation connection to another user’s pers... Show More

    Hello Qlik Automate admins and users,

    Previously, it was possible for Analytics Admin to move an existing automation connection to another user’s personal space. This behavior has been deprecated as personal spaces are meant to be private and exclusively managed by the space owner or Tenant Administrators.

    What does that mean for me?

    No action is required from your end.

    When will this change be implemented?

    The change was implemented today, on August 7th, 2025.

     

    If you have any questions, we're happy to assist. Reply to this blog post or take similar queries to the Qlik Automate forum.

    Thank you for choosing Qlik,
    Qlik Support

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    Product Innovation

    Qlik Trust Score for AI: Evolving Data Trust for the Next Era of AI-Ready Data

    AI is only as good as the data that fuels it. Yet AI use cases introduce new challenges beyond traditional data quality. It’s no longer enough for dat... Show More

    AI is only as good as the data that fuels it. Yet AI use cases introduce new challenges beyond traditional data quality. It’s no longer enough for data to be complete and documented—it must also be accurate, timely, and diverse enough to drive meaningful, bias-free outcomes. Whether you're training machine learning models or powering real-time decision systems, AI-ready data needs a different lens for trust. 

    Earlier this year, we introduced Qlik Trust Score in Qlik Talend Cloud — a quality indicator that consolidates critical data quality metrics such as completeness, discoverability, and usage into a single, intuitive score. We also introduced the Six principles of AI-ready data, giving organizations a practical framework & associated services to assess not just the reliability of their data, but its readiness to drive AI-powered outcomes. 

    Then, in May 2025, at Qlik Connect, we took the next leap forward within the product, introducing Qlik Trust Score for AI as a capability integrated within Qlik Talend Cloud. As organizations double down on AI adoption, the definition of trusted data must expand to meet the specific demands of machine learning and intelligent automation. Qlik Trust Score for AI builds on our original framework by introducing new, purpose-built dimensions — empowering teams to evaluate whether their data is not only trustworthy but truly fit for AI. 

    Building AI confidence through Diversity, Accuracy, and Timeliness

    To help organizations operationalize data for AI, we've introduced three new dimensions into Qlik Trust Score, rooted in our six principles for AI-ready data. 

    AI-specific dimensions of Qlik Trust ScoreAI-specific dimensions of Qlik Trust Score

    Diversity 
    Evaluates how representative and well-distributed the dataset is relative to expectations. In AI, biased or narrow data leads to skewed outcomes and poor generalization. A high diversity score indicates that the dataset covers a wide range of relevant scenarios, populations, or types, ensuring that AI models are trained on broad, balanced, and inclusive information. It is calculated as a function of content evenness and expected volume—measuring how well values are balanced across the rows and columns, and whether enough data is present. 

    Configuring the diversity dimension of Qlik Trust Score for AIConfiguring the diversity dimension of Qlik Trust Score for AI

    For example, A customer churn model trained only on data from urban regions may underperform for rural customers. A high diversity score ensures the dataset includes varied geographies, age groups, and customer types, reducing blind spots in prediction. 

    Accuracy 
    Measures how well data aligns with known or expected truths using customizable validation rules. Inaccurate inputs can lead to compounding errors in AI systems, where even small mistakes can scale into significant misjudgments. By defining custom data quality rules under the “Accuracy” category, these rules can affect the accuracy dimension, allowing teams to quickly identify and address the most critical issues impacting model performance. 

    Categorizing the quality rule for the Qlik Trust ScoreCategorizing the quality rule for the Qlik Trust Score

    For example, in a predictive maintenance system, incorrect temperature readings from sensors (e.g., due to miscalibration) can cause false alarms or missed failures. Accuracy checks can flag such outliers or mismatches against expected ranges, preventing faulty model behavior. 

    Timeliness 
    Ensures that data is timely and reflects the most current state of the business or environment. For AI applications—especially those involving real-time predictions or automation—stale data can mean outdated or irrelevant outputs. This is calculated using an increasing function based on data pipeline updates. Thresholds can be defined to specify how recent data should be —once data falls outside that freshness time window, the score decreases. 

    Configuring the timeliness threshold windowConfiguring the timeliness threshold window

    For example, in a fraud detection model, transaction data that is even a few hours old may miss flagging a fraud as it happens. A high timeliness score ensures your model uses the freshest available data to catch data issues in real time. 

    Trust Over Time: Monitoring Data Quality Trends for AI Confidence 

    AI doesn’t just require high-quality data on a one-off basis — it demands consistent, high-quality data. That’s why we’ve introduced Trust Score Historization in Qlik Talend Cloud, transforming trust from a one-time evaluation into a continuous practice that can be monitored over time. 

    With this capability, you can: 

    • Track trends in data quality across weeks or months to catch emerging issues early 
    • Correlate performance drops with changes in key quality dimensions like freshness or accuracy 
    • Audit how changes to configurations or quality rules impact trust over time 

     

    Viewing the events and dimension updates to Qlik Trust Score over timeViewing the events and dimension updates to Qlik Trust Score over time

    Conclusion 

    Qlik Trust Score for AI goes beyond a simple quality check — it’s a way to evaluate whether your data is truly fit for AI use-cases. With added AI-specific dimensions like accuracy, diversity, and timeliness, and the ability to monitor trust over time, it helps organizations deliver data that drives reliable, responsible AI outcomes. 

    Available in Qlik Talend Cloud Enterprise Edition, Qlik Trust Score is also foundational to building trusted data products

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    Support Updates

    Stitch: Google Ads Major Version Release and sunsetting of Google Ads API versio...

    Hello Stitch Admins, Stitch has released a new version of its Google Ads integration. With this release comes an update to Google Ads V2, which utiliz... Show More

    Hello Stitch Admins,

    Stitch has released a new version of its Google Ads integration. With this release comes an update to Google Ads V2, which utilizes the latest Google Ads API (version 20).

    The previously used Google Ads API version 18 will be sunset by Google on August 20th, 2025. Once the API is sunset, integrations that interact with it will stop working. 

    What do I need to do?

    Create a new integration to stay ahead of Google sunsetting version 18. We've put together a general guide to assist you.

    Using a new schema name

    If you are creating a new integration and don't plan on reusing the previous schema name, you can go ahead and make a new Google Ads integration. Selecting Google Ads from the integration options will default to the latest version, in this case, V2. The new integration will also benefit from the 7-day free historic sync.

    Re-using the schema name

    If you need to use the same schema name for the new integration, you must do the following:

    1. Pause the existing integration(s) in your Stitch account.
    2. Wait for any records that are being prepared to finish loading (such as waiting for Preparing to reflect 0 rows in the integration summary page).
    3. Take note of the tables and fields tracked for replication, as well as the replication methods defined for these tables.
    4. Delete the existing integration from your Stitch account.
    5. Drop or rename the existing schema from your destination data warehouse. We recommend renaming the schema to preserve the data and maintain flexibility to adjust downstream workflows.
    6. Contact Qlik Support to coordinate a manual row-usage exemption for this integration. 
    7. Configure a new integration with the same name, and Stitch will create this schema in your destination during the loading process.

    Frequently Asked Questions

    Q: Can I copy over my bookmarks to the new integration?
    A: Bookmarks cannot be covered over. When you create a new integration, every table will perform a full table replication from the start date set in the settings. Once the historic sync is complete, it will move to the selected replication method. There is no mechanism to manually set bookmarks, and individual integrations have no interaction with each other, even in upgrades.

    Q: What if I need more than 7 days to complete the historic sync?
    A: Reach out to Qlik Support for a manual exemption. Please explain why you need more time, and we will accommodate accordingly.

    Q: Will the data structure be the same in the new integration?
    A: We cannot guarantee the data structure is the same as it is determined by Google Ads API. If you are looking for field or table changes, please reference the Google Ads API comparison guides (Upgrade from v18 to v19 and Upgrade from v19 to v20). If you are missing data, reference Google's documentation to confirm it hasn't moved or been removed. In the event Google says data should exist, but it is not replicated, raise a ticket to Qlik Support to review and investigate.

     

    If you have any questions, we're happy to assist. Contact Support, reply to this blog post, or take similar queries to the Stitch forum. And if you want to stay up to date for Stitch-specific Support Updates, don't forget to subscribe!

    Thank you for choosing Qlik,
    Qlik Support

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