Category: Data Modeling & Scripting

Learn how to use Claude and the Qlik MCP Server to write, debug, and refactor Qlik load scripts. Includes prompt templates and honest notes on where AI still slips up.

Set Analysis is one of the most powerful features in Qlik Sense. It lets you perform calculations independent of the current user selection, define custom data sets, and build complex comparisons like prior year values or YTD metrics in a single formula. This guide covers the complete syntax, the key operators, and real-world examples.

Qlik Sense performance optimization can reduce load times by up to 80% and RAM usage by 60% through smart data modeling, optimized load scripts, and efficient visualizations. The 15 most important techniques: eliminate Synthetic Keys, load only required fields, use ApplyMap instead of Joins, optimize Timestamp fields, implement QVD segmentation and ODAG for Big Data.

TL;DR: The Key Takeaways Synthetic Keys appear when two or more tables share multiple common fields and can drastically hurt performance. Fix strategies: field renaming, compound keys, star schema, and qualified fields. A clean star schema with a central fact table reduces memory usage by up to 70% and improves query performance by 3-5x. What are Synthetic…

Part I: The Performance Problem – Why Speed Determines Success. A Qlik Sense app that takes 30 seconds to load costs your organization more than just time. Studies show that users are 40% less likely to complete an analysis when load times exceed 10 seconds. With systematic optimization across data model, script, and frontend layers, you can make your apps 5-10x faster. This guide shows you how.