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As spring is now firmly in the air, our Qlik Data Integration Client-Managed portfolio continues to bloom with several new releases and updates for Qlik Replicate, Qlik Compose and Qlik Catalog.
This latest edition of Qlik Replicate is the initial release for May 2023 and brings new endpoints and a slew of enhancements across endpoints, data types and server-side.
New Endpoints
New IBM DB2 for z/OS target endpoint - Based on customer feedback we are pleased to introduce native support for replicating data from any supported source to IBM DB2 for z/OS. This will help to improve mainframe base applications and data availability and support additional use cases such as.
New Google Cloud Pub/Sub target endpoint - We are excited to announce support for replicating data from any supported source to Google Cloud Pub/Sub. This has been a long-awaited streaming target endpoint for many customers.
New Google Cloud AlloyDB for PostgreSQL endpoints - As part of our ongoing technical and commercial partnership with Google, we are pleased to add support for Google Cloud AlloyDB for PostgreSQL as both a source endpoint and a target endpoint.
Endpoint Enhancements
SAP ODP (Operational Data Provisioning) as a Source
These new features build upon the previous enhancements made in the last November 2022 Service Release, these are listed below and are also included as part of the May 2023 GA
IBM DB2 for z/OS source endpoint - data server client support – this improvement saves on disk space when running Qlik Replicate on Linux, by allowing installation of just the data server client, rather than the complete ODBC client package.
Oracle as a source endpoint - Log Stream tasks - now supports the source change position (e.g. SCN or LSN) Advanced Run option with the Oracle source endpoint.
Endpoint proxy server enhancements
Default proxy server support - You can now choose whether to use the default proxy server configured in the server settings or provide proxy settings specific to the endpoint. This option is supported with the following endpoints only:
Microsoft Azure Data Lake Storage (ADLS) Gen2 - For target endpoints that offer the option of using Microsoft Azure Data Lake Storage (ADLS) Gen2 storage, it is now possible to choose whether to use a proxy server to access the Staging storage and Azure Active Directory or either one of them.
Amazon Redshift target endpoint - AWS PrivateLink support – When using the Amazon Redshift target endpoint, you can now use AWS PrivateLink to connect to a virtual private cloud (VPC).
Support for Unity Catalog with Databricks endpoints – It is now possible to use Unity Catalog when using the Databricks Cloud Storage or Databricks Lakehouse (Delta) target endpoints.
Data type enhancements
Change to parquet data type mapping - The BYTES data type, which was previously mapped to FIXED_LEN_BYTE_ARRAY ($LENGTH) will now be mapped to BYTE_ARRAY. Note that this change only affects newly created endpoints, existing endpoints will continue to use the previous mapping.
This new data type mapping for the Parquet format has been changed for the following endpoints:
Extended Parallel Load support with streaming targets- Data can now be loaded to the Kafka and Amazon MSK target endpoints using Parallel Load. In Full Load replication mode, you can use Parallel Load to accelerate the replication of large tables by splitting the table into segments and loading the segments in parallel. Tables can be segmented by date ranges, by partitions, or by sub-partitions.
Default quote character in file-based endpoints - New endpoints will be created with double quotes (") as the default quote character instead of an empty value. This change applies to the following target endpoints: Amazon S3, File, Microsoft ADLS, and Google Cloud Storage.
Microsoft Azure SQL (MS-CDC) endpoint - Geo Replica support - for reading events from Geo Replica.
Oracle HSM (Hardware Security Module) support - for reading data from both encrypted tablespaces and encrypted columns during CDC. This is true for both Replicate Log Reader and Oracle LogMiner to access the redo logs.
Server-side Enhancements
The Qlik Replicate May 2023 release comes with some new and enhanced server-side features.
Default proxy server - Instead of needing to configure a proxy server for each endpoint, you can now configure a default proxy server which can be used by all endpoints. To facilitate this functionality, a new Default proxy server section has been added to the server settings' Endpoints tab. Supported with the following endpoints only:
Support special characters in column names used in expressions - A new option has been added to support special characters in column names. e.g., “special#column”. This new option can be set globally for all tasks or individually for a specific task
This is the third Service Release update to Qlik Compose May 2022 release. We continue to build on the initial release by enhancing both security and performance across several capabilities.
Snowflake Enhanced Authentication - we have taken a significant step toward enhancing security measures by introducing Key/Pair authentication to Snowflake. With this new feature, users can now opt for a public key-private key pair that is generated using Open SSL to ensure authentication and security of their data.
This enhanced security capability enables authentication providing an added layer of security, giving users the ability to write and read data to Snowflake with more confidence, making it easier for organizations to comply with more stringent security requirements while focusing on their core data engineering operations.
Code Generation Enhancements
20x efficiency gains - the performance of data warehouse ETL code generation has been significantly enhanced, focusing on cloud data warehouses and larger projects in Qlik Compose. We have seen up to 20x increases in efficiency for large-scale cloud data warehouse projects. As an example, generating ETL and SQL code for a project with over 500 entities, 1500 relations, and 3500 attributes, has been reduced to 1 hour (from 20 hours) without any changes in the execution time of the code.
Fine-Grained Control - Command line agility has also been greatly enhanced with the addition of fine-grained control over code generation via the command line interface (CLI). This feature now supports the generation of specific ELT tasks, making the process more agile and efficient. With the new ‘generate_task’ option you can define data warehouse or data mart tasks with faster and more granular control over your CI/CD process. This option makes it easier to isolate, debug, and fix any issues that may arise. Furthermore, the overall process becomes even more streamlined and efficient, with the ability to automate.
This update for Qlik Catalog continues to build upon the data load scheduling capabilities that were introduced in the November 2022 and February 2023 releases.
Schedule load jobs via cron - with this new option you can now schedule load refreshes based on a cron schedule. Cron is a command-line utility in Linux (and other Unix-like operating systems) that can be used as a job scheduler.
As always, each release is fully supported for two years. To find out more, please visit the Downloads and Release Notes section on Qlik Community.
[Please note: each product release will become available over the coming weeks in May, so if you don't see the product version you are looking for please come back]
We hope you enjoy using Qlik Data Integration products and would love to hear your feedback and success stories, especially in any improvement gains you achieve.
To learn more about what is included in these releases be sure to check out the Release notes which are available here
To obtain any of these releases, go to the Qlik Downloads Site in the Community and filter “Category” by “Qlik Data Integration”, and then select the product and the versions you would like to download.
Note: For most products, selecting “Latest release and patch” under the “Release Assets” should be enough.
If required, you can filter further by selecting the latest “Release” and/or Service Release (SR) version under “Release Number”.
For additional help in using the downloads site - watch this handy video guide here:
How-to-download-Qlik-Products
What's New at Qlik?
Discover our new augmented analytics capabilities, extended transformation capabilities and much more in the next Qlik Insider Webinar on May 24. Register
Get the details on what’s included in the upcoming Qlik Sense release for May.
Hear from Qlik CEO Mike Capone and Chief Product Officer James Fisher to get the inside track on our latest innovations. And don’t miss rescue diver John Volanthen’s heart pounding account of the Thai cave rescue mission where he saved 13 lives. Watch now
Register for an upcoming Live Instructor Webinar!
Check out our Live Instructor Webinars covering a variety of advanced topics, from “getting a handle on hierarchies” to “advanced modelling challenges.” If you are unable to attend live, be sure to register to receive the on-demand recording. Learn more
Gartner® Magic Quadrant™
Qlik is recognized once again by Gartner® as a Leader in the 2023 Magic Quadrant™ for Business Intelligence and Analytics Platforms – our 13th year in a row! Get the report now
ADDITIONAL FEATURED CONTENT
This was a really interesting article covering the ongoing debate about AI and how much it can either help or hurt us. It specifically called out the need for more regulation when it comes to AI and ethics which I couldn't agree more one.
In my opinion I have not seen the benefits of AI just yet. I believe the invention of chat bots have caused an online culture of bullying and spreading misinformation and while I love how easy it is to create art with AI, it ultimately takes away the value that true artists bring to their craft.
Currently there are no regulations when it comes to AI and that makes it dangerous. While I don't like the idea of enforcing more rules, I am in favor of people having the right to know what was generated by actual humans and what was generated by AI. For now, companies can create their own guidelines as you will read in the article, salesforce has already done so and I am sure more will follow suite.
Learn more by reading the full article available
Want to learn more about topics covered at Hands-on Workshops at QlikWorld? Qlik Continuous Classroom has you covered.
Qlik Cloud Data Integration Hands-On Workshop:
FREE course: Using Qlik Cloud Data Integration to Onboard and Transform Data
Migrating to Qlik Cloud Hands-On Workshop:
FREE course: Migrating to Qlik Cloud Learning Plan
Accessing Data for Analytics Hands-On Workshop - Optimizing Cost vs. Performance vs. Business Requirements:
Introduction to On-demand App Generation and Introduction to Dynamic Views [Subscription required]
Qlik Cloud Embedded Analytics Hands-On Workshop:
Course: Styling an App (qlik.com) [Subscription required]
Introduction to Qlik AutoML Hands-On Workshop:
FREE courses: Introduction to Qlik AutoML, Qlik AutoML Multi Classification Model with a Link to all Qlik AutoML courses
After-hours Workshop: Amazing Visualizations:
FREE courses: Using Insights to Create Visualizations and Using the Default Sheet Editing View in the Cloud
The architecture comprises the following components:
Data is ingested from transactional systems with low latency. Change data capture for real-time data replication ingests data without impairing production system performance.
Data Warehouse Automation capability accelerates the availability of analytics-ready data by automating the entire data warehouse lifecycle.
Custom Transformation allows users to create flexible, fit-for-purpose data pipelines to transform raw data into data that is ready for analytics.
Data Profiling enables users to assess the quality and structure of data sources to fix data quality issues and promote good data governance.
Machine Learning enriches data with prediction, scoring, classification, and more.
Catalog & Lineage capabilities empower users to discover, govern, and protect data using AI and machine learning built on a layer of common enterprise metadata.
Analytics is used to discover, interpret, and communicate meaningful patterns in data to apply toward effective decision making
Reverse ETL replicates enriched data from the warehouse back to the operational systems of record.
New Qlik AutoML Courses
Four new courses are available to provide Machine Learning (ML) theory.
Learn the difference between AI and ML, and how to formulate a machine learning question, review the features in your dataset to determine what possible issues may exist and how to resolve them, explore the different types of model scoring, and understand what composes prediction indicators and apply the predictions to real-world scenarios.
Qlik Application Automation Course
Learn how to trigger automated events, reports, and workflows in Qlik Sense and downstream applications, based on changing data, through a visual, no-code environment.
Access Qlik Application Automation Course
Below are resources for Qlik’s Hands-On Workshops at QlikWorld. Stay fresh or learn more about the Workshop’s topics with Qlik Continuous Classroom – many FREE self-paced courses!
Qlik Cloud Data Integration Hands-On Workshop:
FREE course: Using Qlik Cloud Data Integration to Onboard and Transform Data
Migrating to Qlik Cloud Hands-On Workshop:
FREE course: Migrating to Qlik Cloud Learning Plan
Accessing Data for Analytics Hands-On Workshop - Optimizing Cost vs. Performance vs. Business Requirements:
Introduction to On-demand App Generation and Introduction to Dynamic Views [Subscription required]
Qlik Cloud Embedded Analytics Hands-On Workshop:
Course: Styling an App (qlik.com) [Subscription required]
Introduction to Qlik AutoML Hands-On Workshop:
FREE courses: Introduction to Qlik AutoML, Qlik AutoML Multi Classification Model with a Link to all Qlik AutoML courses
After-hours Workshop: Amazing Visualizations:
FREE courses: Using Insights to Create Visualizations and Using the Default Sheet Editing View in the Cloud
When analyzing data with Qlik Sense, you might have come across the need to compare two sets of selections side by side. This is where the Alternate States feature come into play, allowing you to create different sets of selections and compare them in the same dashboard. In this blog post, we'll walk through the process of performing comparative analysis using alternate states in Qlik Sense including how to create it, apply it, and we’ll dive into how we can synchronize selections between the default state and alternate states.
What are Alternate States?
Alternate states in Qlik Sense can be thought of as multiple windows looking into the same app data model, allowing users to perform comparative analysis without losing or overriding other selections. Each state represents a unique perspective (For example, a Sales perspective, Operations, or Finance view) on the data, and these different windows or "states" can coexist within the same app without interfering with one another.
The normal operation of Qlik Sense involves a default state that affects the entire app when selections are made since every object in each sheet inherits from this state. However, this inheritance can be broken by creating new states for either sheets or individual objects, allowing them to exist independently and enabling side-by-side comparisons of charts. In this way, selections on different objects on the same sheet can co-exist without interfering with one another. This allows for having side-by-side comparison of charts.
Setting up the Alternate States
Let’s create two states for our example:
Keep in mind that there are some naming limitations:
- Do not use $, 0, or 1 as a state name.
- Do not use a state name starting with $ or $_ followed by a number (for example $3).
- Do not use a state name already used as a bookmark name.
Notice that now, if you try and make a Selection in either filter pane, nothing will happen to the Bar charts, that is because the selections are made to the newly created Alternate States whereas the bar charts are still in the default state.
Applying Alternate States
In order to make the selections on the Alternate states affect the visualization objects, we need to link them to these alternate states. We can do that in a variety of ways:
1- You can drag the newly created state from the left sidebar onto the visualization
2- You can go to the properties of the visualization, and under Appearance > Alternate states, choose the appropriate state from the dropdown (similar to what we did on the filter panes).
3- You can use Set Analysis to add the alternate state to the measure. Let’s use the following expression in our bar charts:
Count({[State A]} distinct orderID)
Count({[State B]} distinct orderID)
Bonus: Dynamic title for the Bar Charts.
If you want the title of the bar chart to reflect the selections of the respective alternate state, you can use the following expression:
='# of Orders '&GetCurrentSelections(chr(13)&chr(10), ': ', ',', 9, 'State A')
This will get the current selections in State A and comma separate them. Repeat this for State B.
Using Set Operators with Alternate States
It’s possible to use Set Operators (+, *, -, /) with states, meaning that we can do intersections, unions, exceptions etc... For example:
Keep in mind that you should be cautions when using set operators in this manner. In some situations the result will not be what is expected. This is because the selections in a given state generate a set of data that may not be fully compatible with the set(s) it is being combined with. This is especially true as the complexity of the data model increases.
Synchronizing Selections between the Default state and Alternate States
When doing comparative analysis, you might run into a case where for instance you have 2 alternate states A and B, as well as the Default state.
Let’s say that we have 3 filter panes based on the field “Country” that have states A, B, and Default. In addition to that, we have 2 more filter panes with fields “Year” and “Month” that only have state Default.
If we’re only comparing Countries, we would be fine to make selections in all 3 “Country” filter panes to compare.
However, if we make a selection in either “Year” or “Month” filter panes which are only in the Default state, we can no longer see a clear comparison. So how can we solve that?
It’s simple, we can tweak the expressions in our 2 “alternate state”-bound measures to the following:
Count({[State A]<[orderDate.autoCalendar.Year] = $::[orderDate.autoCalendar.Year], [orderDate.autoCalendar.Month] = $::[orderDate.autoCalendar.Month]>} distinct orderID)
Count({[State B]<[orderDate.autoCalendar.Year] = $::[orderDate.autoCalendar.Year], [orderDate.autoCalendar.Month] = $::[orderDate.autoCalendar.Month]>} distinct orderID)
Notice that we have added the following set analysis syntax for both "Year" and "Month":
[orderDate.autoCalendar.Year] = $::[orderDate.autoCalendar.Year]
This means that we can keep selections for "Year" and "Month" consistent between states because when we select “Year” and “Month” in the Default states, these selections will be automatically applied to our Alternate States!
Conclusion
Comparative analysis is an essential tool for data analysis. Using alternate states in Qlik Sense makes it possible to compare two different sets of selections side by side. You can also go beyond the basics and leverage the power of Set Analysis to include Set operators or to automatically sync fields across states.
Attached is a QVF that has the example we went through!
Thanks for reading.
Check out some of the newest connectors available in Qlik Cloud:
New connector: API key
This connector is designed for advanced users to connect with platforms that do not have any additional security requirements and do not yet have a dedicated Qlik Application Automation connector. The connector employs the API key authentication flow, which requires only the API key to make requests to a specific API. It supports the RAW API and RAW API LIST Request Blocks as well as common types of paging and rate limitations. You can find further details on this API key connector, including an example, here.
New connector: Basic Authentication
This connector is designed for advanced users to connect to platforms that have simple security requirements and do not yet have a dedicated Qlik Application Automation connector. It uses a basic authentication flow (i.e. username and password) to make requests to a specific API. Like the API Key Connector, this connector supports the RAW API and RAW API LIST Request Blocks as well as common types of paging and rate limitations. You can find further details on this Basic Authentication connector, including an example, here.
New connector: Oauth2
This connector is designed for advanced users to connect to platforms that utilize the standard 3-legged Oauth2 protocol for authorization and do not yet have a dedicated Qlik Application Automation connector. It uses a 3-legged Oauth2 authorization code flow to authenticate and make requests to a specific API. Like the other new connectors, it also supports the RAW API and RAW API LIST Request Blocks as well as common types of paging and rate limitations. You can further details on this Oauth2 connector, including an example, here.
Qlik identifies current ingested data using their "watermark pattern" to support an incremental loading pattern for data from third-party tools or data-sharing agreements. Recognizing patterns makes the transformations that manage history efficient, allowing Qlik to integrate with existing data ingestion tools.
Data ingestion tools cost more if they track history. Hence, data engineering teams seek to reduce data ingestion costs by transforming ingested data and maintaining records as part of broader transformation capabilities resulting in reduced overall costs.
For existing Qlik customers, since Qlik Cloud Data Integration understands how Qlik Replicate delivers data, users can register, transform, and maintain the history of incrementally ingested data while creating a layer of real-time, live views over the data to reduce cloud computing expenses. Once users register the data into their pipelines, the complete transformation capabilities are available. Hence data engineering teams already having Qlik Replicate can reuse existing artifacts while transitioning to Qlik Cloud Data Integration.
Current Qlik Replicate customers expect to automate their transformations in their cloud data warehouses or lakes without managing on-premises software such as Qlik Compose. Their use cases range from custom SQL-driven output to operational data stores and data warehouses that follow patterns such as Kimball star schema, Inmon, data vault, and multi-zoned lakehouses.
Contact us to try the new capabilities in the latest release of Qlik Cloud Data Integration to automate data transformations and data marts via the Transform and Data Mart tasks.
Marisa is still teaching at Universidad Nacional del Sur, Argentina, where she teaches a Business Intelligence course for the Business Administration bachelors; “We cover techniques to support decision making to build models from data such as data visualization and data mining, and based on mathematical models like simulation. We also give due importance to data analytics topics as we understand, this will better prepare students in their professional career. Each year we update the course. For example, last year we re-structured the course to assign more hours to Qlik training. Then, there are updates arising from new features in Qlik. Also, the material is translated to Spanish!”.
This is Marisa’s second term as an educator ambassador and since we last posted a blog about Marisa we asked her if any of her students had secured internships or jobs as a result of knowing Qlik, “Yes! Students not only get more job opportunities as a result of knowing Qlik but many decide to take more courses on data analytics after graduation. There is a great demand for data analytics capabilities and students prepare themselves to take the opportunities."
When it comes to looking ahead to 2023 Marisa says, “Our goal is to consolidate the way to Qlik training. The course data visualization contents are based on the Qlik Learning Portal. In addition, since we cover data mining, we aim to support some of the data mining projects using Qlik. We have scheduled a one-day seminar about Data Visualization using Qlik open to students, researchers and professionals. From a more personal stand, happy to dedicate more hours to gym that for many reasons I have found difficult to make time to fitness activities!.”
Since Marisa first joined our program, she has noticed a lot more challenges due the progression of technology but this comes with some positives, “Teaching activity is increasingly challenging because of all the innovations that should be incorporated every year, and at the same time, rewarding to offer contents of impact for the professional life of students. With the growth of data relevance, you no longer have to explain or convince the audience about the importance of acquiring data management skills.”
Marisa says she was eager to reapply to the Qlik Academic Program, “It is a great honor to be part of the Qlik Educator Ambassador Program because we can see how other educators use Qlik, get inspired by their achievements, participate in webinars given by important professionals in the area, and learn from customer success stories. In addition, the webinars open an easy communication channel with educators and Qlik staff. Being an Educator Ambassador gave more visibility among the university community, and the opportunity to share the benefits of the Academic Program.”
For more information about the Qlik Academic Program and how you can get access to free Qlik Sense software and training, visit: qlik.com/academicprogram
New features in the Data Visualization Showcase include, but are not limited to:
Updated charts include:
Business intelligence and data analytics with actionable insights are essential for any organization striving to compete and win in their respective markets. Data visualizations make or break the interpretation of those insights.
According to Rob van Vliet, BI Product Owner at Medux, “Before I started working at Medux, I worked a lot with Tableau, and my first impression of Qlik was that they were lagging behind in the field of visualizations. Happily, Qlik caught up massively with Qlik Sense. We quickly realized that Qlik Sense could give us what we wanted, namely a user-friendly, accessible cloud solution which you can use to make excellent data visualizations. Qlik Sense would also enable the business units, where people have little or no programing skills, to analyze their data independently.”
Qlik Sense data visualizations will delight your data consumers and deliver better insights faster, with more responsiveness and detail than other products focused primarily on visualization. Combining Qlik’s analytics engine with our investment in foundational components, we have accelerated the pace at which we deliver world-class native visualization capabilities. And, we have released 200+ dynamic and flexible chart improvements in the past 18 months, so you can create practically any visualization that your analytics use cases require to support your innovation today and in the future.
You can look forward to quarterly updates to the Visualization Showcase.
The NL Insights object, found in the Qlik Dashboard bundle, allows app developers to add natural language generated insights to a sheet. The NL Insights object can be dragged to a sheet, just link other chart objects. Developers can use the NL Insights object to display an analytical summary of the data. This can accompany a single chart, a sheet, or the entire app. Once measures and/or dimensions are added to the object, narrative insights are automatically generated. The developer controls what data they would like to provide insights for based on their dimension and measure selections.
The image below is the Dashboard bundle.
Qlik Dashboard bundle
Properties window > Data section
After adding the master measure Sales $ (as seen in the image on the left), the insights below are generated. This is an example of using the NL Insights object to provide overall insights for an app. By default, all appropriate analysis types are used to generate the insights based on the dimensions and/or measures selected, but the developer can modify these if they choose. Up to three dimensions and three measures can be added to a NL Insights object. If the combination of dimensions and/or measures does not return any insights, a message will be displayed.
In the properties window, the developer can deselect any of the analysis types that they would like to remove from the auto-generated list. For example, in the image below, the selected analysis types can be removed by clicking on the “x” image next to the analysis type.
Properties window > Appearance section > Analysis types
According to Qlik Help, NL Insights can offer the following analysis types:
Natural language insights can also be used to accompany a specific chart. In the example below, a NL Insights object has the same dimension and measure that the line chart has and is used to provide a narrative of the chart. This can be useful to highlight important information. In this example, the style is set to bullet points, but it can also be set to sentences. Developers also have the option to set the verbosity to full or brief to show all recommendations or just the top recommendations. This example has verbosity set to full. Like other objects, insights are updated when selections are made in the app.
Users can benefit from NL Insights – a native capability that provides AI generated insights to users. Developers can give users a narrative summary of a chart, a sheet, or an app, to supplement visualizations in an app. A few things to note about the NL Insights objects – you can have up to three NL Insight objects on a sheet and if you add a new master item to your app, you will need to refresh the app before the new master items can be used in the NL Insights object. Try the NL Insights object out in your next app. To learn more, check out this SaaS in 60 video and Qlik Help.
Thanks,
Jennell

Fully automated backups of all your apps on the file server, without data in it. Organized per user and per stream. Any number of versions that you want, automatically deleting older versions.

In this way, you can keep a backup of your apps in a safe place, without having to backup your whole server. Saving you time for managing backups and preventing the loss of hours of work.

Qlik Sense Client administrators. Qlik developers.

No data or analytics in this script.
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。
大日本印刷株式会社(DNP)では、営業・事務・生産部門など、さまざまな領域でデータの可視化と活用に取り組んでおり、2019年より全社的に Qlik を導入しています。
その中でも、今回は営業事務部門におけるタレントマネジメントシステムとして Qlik を使用した事例を紹介いたします。個人のスキルを可視化することで、管理職の業務差配にかかっていた負荷を軽減し、適材適所の業務差配を実現しました。また、社員一人ひとりの強みを一元管理し、人財育成のためのツールとして Qlik Sense を活用しています。

Compare viewership on a per-episode basis and identify the most and least viewed episodes. Examine the first and last episodes. Get an overview of all seasons with color-coded bars based on the number of views.

Check out how AnyChart's Gantt charts with multiple milestones work and how they can help you explore TV show popularity or any other data with the same or similar structure and purpose.

Anyone who wants to analyze the popularity of TV shows and see an example of a Gantt chart with multiple milestones in Qlik Sense in action.

This application features Gantt charts built with AnyChart's extension for Qlik Sense. The data is taken from Bill Cruise’s datasets on Kaggle.
🔗 >> VIEW IT LIVE OR DOWNLOAD (.QVF) <<

Solving the problem of displaying date periods when there are no records in that period. Showing rolling totals when the date periods are not aligned with the normal calendar. Create one sheet with smart variables, so that you can compare data for endless data sets.

The generic solution for gaps in the date period, save developers a lot of time, creating these graphs. Getting rolling totals for our fiscal month, seemed impossible. This method makes it easy. Using this slice and dice sheet, allows us to compare data in so many ways. Just 1 sheet needed and many bookmarks for each comparison report.

Data Analysts, Qlik developers

Solved a generic problem for all developers. Provide users with a very flexible dashboard for comparing data.

Qlik Sense does not allow load tasks with variables. This method makes that possible in a different way.

This enabled us to run the same script to create the same QVD files for multiple data sources. Because they run independently, we only needed 1 load script. And it does not matter if 1 load fails, it will continue running the rest, which was exactly what we needed.

Qlik developers. Qlik administrators.

No data used and no analytics.
Hello Qlik Community!
It’s April! In the States, the weather is warming up, flowers are blooming, trees are foliating, and QlikWorld is coming... NEXT WEEK! Are you excited?! We cannot wait to meet and see all of you! Make sure to stop by our booth for a special surprise 😉
We had quite a few updates push out today, including some big changes with Ideation and the Downloads app.
Search and filter through existing Ideas using Qlik Sense! Learn more about the coming changes to this area.
With this change, you will see that the’ Submit an Idea’ button has been grayed out until the new portal is ready.
The Downloads page has moved in the navigation, from Support > Support > Product News to Support > Product Downloads. To make access easier for our users, it is now an open page and will appear in the navigation, even if you are not logged in. We have also removed the Trial Downloads page to simplify the experience for our users.
If you go to the page, and you are not logged in, you will be prompted to log in. Then some magic on the page will determine if you should see the available downloads or if you do not have the correct permissions. If you get a message that you do not have the correct permissions, please use the blue ‘Contact Support’ chat button in the bottom right to connect with an agent that can assist.
We all like our questions to be answered quickly, right? The chat can help! Use chat to connect to an agent for quicker service. A new green banner will pop up on the case portal chat to remind you.
This request came from one of our users!
The ‘Accept as Solution’ button was previously in the body of the comment, reducing the amount of real estate for the comment. The button has now been moved in line with the ‘Like’ and ‘Reply’ buttons.
So, what do you think of all the changes? Let us know in the comments below! It's been a busy month but we are so happy to bring you these new features and streamline experiences.
We will see you at QlikWorld!
Kind regards,
Melissa, Sue, Jamie, and Nicole

Experience how easily you can explore your company's complete organizational hierarchy with a powerful sunburst chart. This app features one that reveals the structure of a fictional company, including over 800 subdivisions across 12 levels.

Navigate and analyze the organizational structure with ease, and drill down to explore specific division levels to gain a deeper understanding of the hierarchy.

Anyone who wants to analyze their company's hierarchy and see an example of a Sunburst Chart in Qlik Sense in action.

This application features a Sunburst Chart visualization built with AnyChart's extension for Qlik Sense. The data is fictional.