Looking for NPrinting articles that were created by other users/members? They were moved to their new home here: https://community.qlik.com/t5/Member-Articles/tkb-p/qlik-communityarticles.
They are all broken up by the appropriate label, you can search by a label and subscribe to labels.
Remember official Qlik Support articles for NPrinting can be found here: https://community.qlik.com/t5/Knowledge/tkb-p/qlik-support-knowledge-base
The NPrinting document board has been retired.
Qlik NPrinting May 2021 SR3, or newer, solves this issue and is available for download. Refer to the Release Notes https://community.qlik.com/t5/Release-Notes/Qlik-NPrinting-May-2021-SR3/ta-p/1872634#toc-hId-404311360.
Thanks to some conversations with Qlik NPrinting users we discovered that latest version v2109 of Excel and PowerPoint include in Microsoft Office 365 is not working correctly with Qlik NPrinting Designer. The R&D team is working right now to solve at the same time we suggest avoid installing Microsoft Excel and PowerPoint v2109 on the computers you use to edit Qlik NPrinting templates. Please note that Qlik NPrinting uses Microsoft Office only to edit report templates. Instead it is not used to generate reports.
To check the version of Microsoft Office you are using refer to https://support.microsoft.com/en-us/office/about-office-what-version-of-office-am-i-using-932788b8-a3ce-44bf-bb09-e334518b8b19
The update history for Microsoft 365 Apps is available at https://docs.microsoft.com/en-us/officeupdates/update-history-microsoft365-apps-by-date
You can also refer to the support article https://community.qlik.com/t5/Knowledge/Qlik-NPrinting-can-t-find-supported-reporting-template-editor/ta-p/1716228
Word. PixelPerfect and HTML templates are not affected.
With Qlik Cloud Native Subscriptions and advanced report composition with Qlik Reporting Service / Qlik Application Automation, we are seeing growth in the adoption of reports based on Qlik Sense Apps. In fact, our experience with Qlik NPrinting tells us that many customers will create Qlik Sense Apps that are tailored by way of sheets and objects for reporting output. It has been identified that the interactive nature of a Qlik Table and Pivot Table would benefit from more style control when transitioning to printing on Qlik Cloud. The Product roadmap will introduce a new Table and Pivot Table in the future that offers better control of style elements and Qlik will continue to refine the transition from interactive mode to report mode with more cloud updates in the future.
In the meantime, some of our Qlik reporting SME’s collaborated to create a theme that offers reports from cloud a more professional table presentation. The attached theme can be deployed to an app that is specific for reporting in Qlik Cloud. It uses an explicit set of attribute definitions to remove interactive elements and clean-up the table for visual reporting. While this theme is not officially supported, the Qlik team will be monitoring releases for any changes to the existing Straight Table and Pivot Table and look to update the theme if needed. If you start to use this theme, please hit "Subscribe" to get notifications, we will update the theme if necessary due to changes in coming releases of Qlik Cloud. We will continue to monitor this community post and theme until a time at which “like” capability is offered with new visualizations on Qlik Cloud.
Hello NPrinting Community!
Please check out this Blog post and article as soon as possible if you are considering upgrading QlikView to 12. 8 track.
In coordination with the launch of Qlik AutoML on Qlik Cloud, we are making a set of sample data files available for people to use when trying out the new capability. These files represent a fictitious company with customer subscriptions, looking to predict which customers will stay and leave in the future. This simple data will allow our users to quickly experience the power of machine learning as they learn the AutoML process.
See attached files at the end of this post
Step 1 - When creating your first AutoML Experiment, use the Customer_Cancellations_Training.csv dataset to train your model. This dataset contains historical customer churn data for the machine to learn from.
Step 2 - After you have deployed your first model, you can use the Customer_Cancellations_Apply.csv dataset to create predictions. This dataset contains current customer data on which churn predictions can be made.
Watch this video to get an understand on how to use this data.
Can't see the video? Watch on the Qlik video site.