Unlock a world of possibilities! Login now and discover the exclusive benefits awaiting you.
By reading the Product Innovation blog, you will learn about what's new across all of the products in our growing Qlik product portfolio.
The Support Updates blog delivers important and useful Qlik Support information about end-of-product support, new service releases, and general support topics.
This blog was created for professors and students using Qlik within academia.
Hear it from your Community Managers! The Community News blog provides updates about the Qlik Community Platform and other news and important announcements.
The Qlik Digest is your essential monthly low-down of the need-to-know product updates, events, and resources from Qlik.
The Qlik Learning blog offers information about the latest updates to our courses and programs, as well as insights from the Qlik Learning team.
企業のビジネス活動において、データはこれまで以上に必要不可欠な資産となっています。増え続けるデータを管理・統合・分析し、データでアクションを起こす必要性が増している現在、成功している企業はどのようなデータ戦略を実行しているのか?
本 Web セミナーシリーズでは、Qlik でデータからアクションを起こすデータ主導のビジネスで成功しているお客様より、課題から導入の経緯、デモンストレーション、活用例などをご紹介します。
本田技研工業株式会社では、全社共通データ分析ツールとして Qlik sense を導入し 7,000 超のユーザーが日々利用しています。 本セッションでは、データ駆動型のビジネスを実行するための体制と、その考えに基づき実践した Qlik データソンでの取り組み事例を紹介いたします。 第 3 回 Qlik データソンにおいては、ユーザー部門で最優秀賞を受賞。5 時間という限られた時間の中でいかにして成果を出したのか、ビジネス課題を解決するためのデータ分析の取り組みと Qlik の活用についてお話しします。
Starting from the week of August 14th 2023, Qlik Cloud Analytics will no longer be able to utilize non-supported Microsoft SQL data sources. This affects Microsoft SQL Server 2012 and earlier.
Microsoft SQL Server 2012 and earlier are not supported by Microsoft (see SQL Server lifecycle dates). If you are unclear which version of SQL Server you have, use one of the methods described in this Microsoft article.
Upcoming Changes
Qlik Cloud Analytics is performing a required security update in August 2023, resulting in no access to Microsoft SQL Server 2012 or earlier. This update will also result in no support for TLS version 1.1 and earlier as well as any deprecated cryptographic functions.
Additional Information
While client-managed and standalone web connectors are not directly affected by this change, they do not support outdated versions of Microsoft SQL Server, such as MS SQL 2012. See Supported Microsoft SQL Server versions.
For additional information, see Outdated, out of support versions of Microsoft SQL Server and Qlik Cloud Analytics.
Thanks for choosing Qlik!
Qlik Global Support

Efficiently visualizing data across multiple dimensions, a decomposition tree lets you easily disaggregate it and drill down into the dimensions in any order to find out what makes up a value.

Explore all major features of the Decomposition Tree Extension for Qlik Sense as you look into fictional business data. See working with negative values, different view modes, and more demonstrated in action.

Business analysts and all levels of management. Also, all who want to see how a decomposition tree works in Qlik Sense.

This application was built with the Decomposition Tree extension for Qlik Sense. The dataset is fictional.

Explore all major features of the Bullseye Chart extension for Qlik Sense as you look at a fictional drug pipeline that graphically represents how clinical trials progress through phases. See flexible axes and grids, customizable labels and markers, conditional coloring, HTML tooltips, and much more demonstrated in action.

A bullseye chart, resembling a target, serves as a concise visual aid for tracking progress across multiple categories. Its intuitive design enables efficient data comparison, simplifying complex information presentation and facilitating quicker decision-making.

Business analysts, project managers, executives, and other stakeholders who need to track and understand progress across various factors in a clear and concise visual format. Anyone interested in exploring the capabilities of bullseye charts within Qlik Sense.

This application features a bullseye chart built with AnyChart's Bullseye Chart extension for Qlik Sense, utilizing fictional data to illustrate its capabilities.
🔗 >> VIEW IT LIVE OR DOWNLOAD (.QVF) <<
Welcome to Qlik, we’re excited to have you onboard and can’t wait to see how our solutions will help achieve your data and analytics goals.
Ready to take the first step? Start Here!
We’ve gathered the essential resources for you to follow and set up your own tenant along the way. With comprehensive implementation steps, a Go Live Checklist, and training recommendations for your end users, we’ll guide you through getting your environment up and running for your organization.
Log into Qlik Continuous Classroom with your Qlik Account to access this free, curated onboarding content for Qlik Cloud Admins.
If you need help as you get started, chat with our Support Engineers 24/5.
Happy learning!
Qlik Customer Success

It saves you a lot of time if your DWH failed last night and you need to reload all your apps in Qlik Sense.

Saving time and effort

Admins

It enables us to faster recover after data loading has failed.
Make an impression with the top recent data visualization enhancements.
We’ve been releasing improvements to Qlik Data Visualizations on Qlik Cloud Analytics (Qlik Sense SaaS) at a furious pace – more than 200 in the past two years. We understand it might be difficult to keep up with all the updates. So, we’re here to provide a quick recap of some recent impactful enhancements to help you get up-to-speed so you can introduce new use cases and leverage all the beautiful and powerful visualizations Qlik has to offer.
Continuing with the description of the new charts available in the Qlik Sense June 2017 release, today is the Box plot’s turn.
The American mathematician John W. Tukey introduced the box-and-whisker plot (called simply a box plot) in his 1977 book, "Exploratory Data Analysis".
Like the Distribution plot, the Box plot is a histogram-like method of displaying data and is appropriate to represent the degree of dispersion, skewness, and whether there are potential unusual observations in the data set. It’s particularly useful for comparing distributions between several sets of data, short of having several histograms close to each other so you can compare across them. The data center, spread and overall range are immediately apparent for each data set.
In my previous post about the distribution plot, I used an example data set containing data for 3 salespersons recording their monthly sales data. I'll reuse that data to illustrate how the box plot works.

A Box plot will typically help us to visualize 5 numbers, the statistical median represented as a horizontal line inside the box, the box ends show the first and third quartiles values. The whiskers indicate the range of the data and they are represented as horizontal lines ending in a small vertical line. Whiskers extend to the farthest points that are not outliers. Depending on the box plot configuration you choose, a provision is made for the representation of extreme values, typically upper/bottom quartile range +/- 1 x interquartile range or IQR. Additionally, outliers or extreme values are represented with dots.

Some general observations about our salespersons’ box plots:
To get the chart working in your Qlik Sense app it only requires one dimension (add a second dimension to compare across it) and one expression. Qlik Sense's new Box plot offers three standard presets, standard (Tukey), percentile-based, and standard deviation. For those of you with special needs or for those interested in learning more about fine tuning your chart, there’s a manual mode that give us full control over each one of the chart elements.

Enjoy it.
Arturo (@arturoqv)