Systems | Development | Analytics | API | Testing

This week we introduce a powerful new capability that allows you to provide and manipulate data directly within a chart object using script. Chart Level Scripting allows users to modify the data set behind a chart using a subset of the Qlik scripting language, using techniques such as variables and loops. Rows and columns can be added or modified that were not in the original data set enabling calculations that have previously not been possible in chart expressions or with variables. Simply enable the app for chart scripts, under measures add your script under the script section – and along with the appropriate dimensions– you will see your charts reflect the data provided by the script which also can be changed in real-time with the use of variables and expressions. Offering a new way to analyze your data such as simulations and goal seeking.

See the possibilities when you unleash SAP data in Azure and how Qlik Data Integration can automate and deliver real-time SAP data with change data capture (CDC) to Azure Synapse to create analytics ready data sets for better business insights.

In this video we will show how we can build context-aware applications so, your applications will know not just whether they are in Development, Test or production, but also whether they are a Sales, Finance or HR app. We will do this using built-in functionality of Qlik Cloud. We will also look at using these techniques to manage external script libraries so we can ensure we use the correct version of libraries based on where our apps reside.

This session will provide a front-row seat during a live build using Application Automation and Qlik Cloud. Here, users will learn from Qlik’s very own, Adam Cooke and Emile Koslowski, leaders of the Application Automation team who will share best practices, techniques, and debugging through different scenarios.

See how easy it is to create a period analysis dashboard with Insight Advisor Analysis Types Smart Sheets.

Qlik Data Integration automates the creation of data streams and efficiently moves it to applications, data warehouses and data lakes, delivering business-ready data to Qlik Sense or other analytics solutions. This video includes an interview with Qlik's Adam Mayer, along with an extensive demo of Qlik's Data Integration solutions.

Enterprises run on a steady flow of best-fit data analytics. Robust processes ensure these assets are always accurate, relevant, and fit for purpose. Increasingly, organizations are implementing these processes within structured development and operationalization “pipelines.” Typically, analytics data pipelines include data engineering functions such as extract-transform-load (ETL) and data science processes such as machine-learning model development.

Qlik Data Integration automates the creation of data streams and efficiently moves it to applications, data warehouses and data lakes, delivering business-ready data to Qlik Sense or other analytics solutions. This video includes an interview with Qlik's Adam Mayer, along with an extensive demo of Qlik's Data Integration solutions.

This week we introduce a new pathway to get insights with our new Insight Advisor Analysis Types and now have support for the Spanish language within Insight Advisor Search and Insight Advisor Chat.