Qlik February 2024 - New Release

Published on 05.03.2024

The new Qlik release February 2024 brings exciting innovations in the areas of visualisations and dashboards, element design, connectivity and much more.

Qlik February 2024 - Neues Release

Visualizations & Dashboards 

New Pivot Table

The new Pivot table is here with a set of new features: 

  • Dimension headers
  • Null value custom symbol, foreground, and background color
  • Grid styling with width and color
  • Font styling for size, color and family for headers and cell contents
  • Totals styling and placement options: above or below
  • Column width options, set to auto, in pixels or with percentage
  • Scrollbars outside chart
  • Interactive sort of dimensions

The new Pivot table is launched in the Visualization bundle and will replace native pivot next year when additional features are added.

Qlik February 2024 - Neues Release - Pivot Tabelle

New Layout Container

The Layout container is a new component in the Dashboard bundle. In the Layout container, charts can be placed in a free-form manner with or without a snapping grid. Charts can overlap, be stacked, and controlled with show conditions. The Layout container is highly versatile but especially useful for: 

  • Grouping charts together
  • Combining charts into new visualizations
  • Creating composite KPIs
  • Grouping and reusing user controls and buttons
  • Creating aesthetic pleasing dashboards
Qlik February 2024 - Layout-ContainerQlik February 2024 - Layout-Container

New Borders and Shadows

As of today, most charts receive settings for borders and shadows. Charts inherit the border setting from the theme, but the border width and color setting can now be overridden and customized per chart. The border can play a big role in how your dashboard is perceived, use it wisely to achieve your goals, especially when layering multiple charts!  

Chart shadow is a new property on charts, providing a shadow contour around the chart, with options for size and color. Shadows create a depth effect and can be used to highlight and make certain elements stand out.

Qlik February 2024 - Border und Shadows

New Copy and Paste Style Option for Charts

This new chart feature makes life easier when creating a uniformed look across multiple charts! A simple copy and paste functionality now allow you to copy all a chart’s specific style attributes and paste those same attributes onto a separate chart, eliminating the need for tweaking each setting to ensure images are a match!


Styling Filter, Grid, Funnel & Sankey Charts 

The Grid chart, Funnel chart, and the Sankey chart have been upgraded with the new property panel for styling. The styling includes general settings for title, subtitle, footnote, background, border and shadow and chart specific settings for axis and value labels.

Qlik February 2024 - GestaltungQlik February 2024 - Gestaltung


Additional SaaS Application Connectors

We’re continuing to expand the connectivity of Qlik Cloud Data Integration with a new group of connectors that just got released. These connectors will enable you to gather business data from more applications that focus on the supply chain, ERP, CRM, and finance: 

  • Acumatica ERP
  • GitHub
  • QuickBooks
  • SAP Ariba
  • SAP Cloud for Customer
  • SAP Fieldglass
  • SAP SuccessFactors Payroll
  • Stripe
  • Zoho Books
  • Zoho CRM
  • Zoho Expense
  • Zoho Inventory 

We also updated the existing Oracle OPERA connector to support change data capture. 


Insight Advisor 

Improved Tooltip for Period over Period Analysis

An improved tooltip is now available for Insight Advisor’s period over period analysis type feature, helping guide end-users to create a new calendar period for their Qlik Sense App (when needed). 


Hub & Engine 

Data window functions in engine load script 

Customers can now perform complex calculations on their data tables in the Qlik load script to perform aggregation on different partitions without losing the granularity of their data. This functionality is commonly used in SQL and with many ML data preparation use cases.


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