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anychart

Decomposition Tree with AI Splits

Users drill into any metric across any dimensions, in any order — and find what drives the numbers. All on a single sheet, all on their own. With AI Splits revealing the key impacts automatically.

Discoveries

Well-known from Power BI, decomposition trees aren't available in Qlik natively. This extension fills that gap — letting users drill down across multiple dimensions in any order, with AI Splits automatically surfacing the highest and lowest impact factors on any measure.

Impact

A hands-on feature walkthrough: AI Splits, flex dimension ordering, multiple measures, conditional coloring, negative value handling, three bar scaling modes, zooming, and paging. Everything configured and ready to inspect in edit mode.

Audience

Qlik developers and BI consultants looking to add root cause analysis and ad hoc exploration to their Sense apps.

Data and advanced analytics

Built with AnyChart's Decomposition Tree extension for Qlik Sense / Qlik Cloud, based on fictional business data.

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amonjaras_c40

Predicting London ULEZ effects on emissions.

Use historic emissions data and the expansion of Londo's Ultra Low Emissions Zone program to predict its effects on air quality in each of London's boroughs.

Discoveries

We have been able to corroborate the model's accuracy using real data from the first ULEZ expansion, so we are confident it will predict the second expansion effects effectively.

Impact

This app and the ML experiment behind it has served as an internal demonstration of Qlik's machine learning capabilities, making its adoption easier.

Audience

Our internal data science team. It serves as a proof of concept for Qlik Predict.

Data and advanced analytics

An effective use case of machine learning in its prediction mode.

NitinK7

Color Palette

This Dashboard defines a set of predefined colors used to help maintain consistency and clarity across the dashboard, it help to find color code easily and see how it will looks side by side

Discoveries

These shift focus on reducing time to find out best colors and color coding that would improve speed to choose colors, and color combination can improves user sections

Impact

The Primary impact of this well designed palette is reducing the mental effort of choosing colors. it helps user to refer multiple colors side by side and check which color and suitable for each dimension. and

Audience

All dashboard developers

Data and advanced analytics

The Color are always act as a bridge between complex raw data executive decision making. its help to choose right matching colors with color code and help to reduce check each color one by one and see how it looks

Jan-Hendrik

Knowledge Nuggets - 2026(Q1)

A collection of Qlik and Data & AI Literacy related videos and articles

Discoveries

Contributors and Keywords

Impact

Learning resource

Audience

All Qlik stakeholders

Data and advanced analytics

Learning resource

omkarnag_1232 · ‎2026-03-31

Reports

Purpose This app is an interactive sales analytics dashboard designed to monitor business performance, explore trends, and support data-driven decisions. What it shows Key KPIs: total sales, number of customers, sub-categories, and average unit price Sales breakdown by region, state, and city Product-level insights (quantity sold, top-performing items) Category and sub-category performance Time trends (yearly and quarterly sales) Interactive filters for category and region to drill down into data

Discoveries

📊Sales Performance Insights The North region appears to have the highest sales, closely followed by West and East, while South is slightly lower. Overall sales are strong (over 109M), indicating healthy business performance. 🏙️ City-Level Trends Surat (~11.9%) and Bangalore (~10.3%) are among the top contributing cities. Cities like Mumbai, Chennai, and Pune contribute fairly evenly (~9–10%), showing a well-distributed market. 🗺️ State-Level Insights Karnataka leads in state-wise sales (~15M), followed by Telangana and Maharashtra. There is a cluster of high-performing southern and western states, suggesting strong regional demand.

Impact

: 🚀 Revenue Growth Impact Strong performance in top regions and states (like North and Karnataka) means you can double down on high-performing markets to drive faster revenue growth. The slight dip in 2024 highlights a need for corrective strategies (promotions, new products) to avoid stagnation. 🎯 Market Strategy Impact Well-distributed city contributions reduce risk, but top cities (Surat, Bangalore) offer opportunities for targeted campaigns and expansion. Underperforming regions can be improved with localized marketing and pricing strategies. 📦 Product Strategy Impact High-value products (e.g., laptops) contribute significantly → focus on premium product positioning and upselling. Low-performing items (e.g., accessories with low sales) may lead to inventory inefficiencies, so consider bundling or discontinuation. 💰 Profitability Impact A high average unit price (~10K) suggests strong margins, but optimizing the product mix can further increase profitability. Better alignment of demand vs. supply reduces holding costs and wastage. 👥 Customer Impact With relatively fewer customers generating high sales, there’s an opportunity to: Increase customer base (acquisition campaigns) Boost retention and repeat purchases (loyalty programs) 📈 Decision-Making Impact Leadership can make faster, data-driven decisions using this centralized dashboard. Enables proactive actions instead of reactive ones (e.g., spotting declining trends early).

Audience

Sales managers, business analysts, and marketing teams use the app to track performance and identify trends. Executives rely on it for quick, data-driven decisions to drive growth and strategy.

Data and advanced analytics

The app uses structured sales data (customers, products, regions, and time) to generate insights. It applies advanced analytics like trend analysis, regional comparison, and KPI tracking to uncover patterns and support predictive, data-driven decisions.

mountaindude · ‎2026-03-13

HelpButton.qs

HelpButton.qs injects a customizable help menu into the native Qlik Sense toolbar and adds interactive tooltips. It provides contextual guidance and a way to submit feedback directly from a dashboard.
Learn more at https://ptarmiganlabs.com
Open Source at GitHub: https://github.com/ptarmiganlabs/helpbutton-qs
Download latest release: (https://github.com/ptarmiganlabs/helpbutton-qs/releases

Discoveries

This extension can help uncovering otherwise hard to find usability issues and direct user sentiment by giving users an immediate, in-app mechanism to rate apps and report bugs. Administrators discover exactly which app, sheet, browser, and environment a user was in when an issue occurred or feedback was submitted, removing the guesswork from application support.

Impact

HelpButton.qs significantly reduces support friction and eliminates the time-consuming back-and-forth usually required to troubleshoot vague user issues. By supplying contextual tooltips right alongside complex visualizations, it accelerates user onboarding and saves hours of manual documentation routing.

Audience

The primary audience spans from everyday Qlik Sense Users (who benefit from contextual help on their sheets) to System Administrators / Developers (who monitor the feedback payloads). The button is displayed prominently in the native Qlik Sense app toolbar and tooltips are rendered on specific charts, making it an ever-present, mission-critical asset accessed continuously by anyone using the deployed apps.

Data and advanced analytics

HelpButton.qs automatically captures dynamic session metadata (User ID, App ID, Sheet ID, Qlik Version) securely through the native Qlik API directly within the extension. It then packages and transports these insights via flexible authenticated webhook payloads (POST requests) seamlessly to external workflow platforms or just plain text files on a server.

AnaSilva · ‎2026-03-10

Data Files Staleness Monitor

The Data Files Staleness Monitor tracks the freshness of data files stored across a Qlik Cloud tenant, surfacing files that have not been updated within expected thresholds. Used by system administrators to proactively identify stale data before it impacts end users, the app provides a centralized view of file age across spaces and triggers automated alerts when critical staleness thresholds are breached.

Discoveries

Some of the discoveries from using this app include: data files that had gone stale for extended periods without anyone noticing, inconsistent reload cadences across spaces, and specific files that were frequently at risk of staleness — insights that were previously only surfaced reactively when end users reported outdated data.

Impact

The app eliminates the need for manual file freshness checks, giving administrators an always-current view of data health across the tenant. Automated critical-staleness alerts ensure that stale data is caught and addressed before it reaches end users.

Audience

Primary users are Qlik Cloud System Administrators responsible for data operations and reload management. The app is monitored on a regular basis as part of routine data quality oversight and is referenced immediately when automated staleness alerts are triggered across any Qlik Cloud environment.

Data and advanced analytics

The app sources metadata directly from the Qlik Cloud tenant API, capturing file timestamps and space assignments at each reload. Staleness classification logic evaluates file age against configurable thresholds, enabling administrators to prioritize remediation by severity and track freshness trends across spaces over time.

AnaSilva · ‎2026-03-10

onGuard Permission Audit

onGuard Permission Audit monitors user permission changes across a Qlik Cloud tenant in near real-time. Built for system administrators and compliance stakeholders, it detects role additions and removals across spaces, classifies changes by severity (Critical, High, Medium, Low), and maintains a timestamped change log for audit trail purposes. Used by PWCS to support governance reviews, access verification, and proactive security monitoring — replacing manual permission checks with an automated, always-current view of who has access to what.

Discoveries

Some of the discoveries from using this app include: permission changes that occurred without a formal access request, role discrepancies between users who should have equivalent access, and visibility into exactly when elevated permissions were granted or removed — detail that was previously unavailable without manual tenant reviews.

Impact

onGuard has shifted client's access governance from reactive to proactive, giving administrators and compliance stakeholders a live audit trail without manual effort. Permission anomalies that previously went undetected between formal reviews are now surfaced automatically and classified by severity.

Audience

Primary users are Qlik Cloud System Administrators and compliance stakeholders responsible for access governance. The app is accessed on-demand for audit reviews and permission verification, and is expected to be referenced regularly as part of ongoing security monitoring across the Qlik Cloud tenant.

Data and advanced analytics

onGuard sources its data directly from the Qlik Cloud tenant API, capturing space membership and role assignments across all users at each reload. Change detection is performed using hash-based delta comparison between reload cycles, with severity classification logic applied to categorize each permission event — enabling pattern analysis across users, spaces, and time.

FOliv · ‎2026-02-02

Operations Execution Dashboard

The operations team uses it, to allow them to control the payment requests created overtime and have a visual information of the the countries with must PRs created and how the distribution is being done.

Discoveries

Allows the team to see where we can grow our business and were we alreay have a big impact.

Impact

Shows how the business is progressing and where we can grow.

Audience

Used by operations team manager.

Data and advanced analytics

Has helped the operations team to manage how the payment requests are being impacted over time.

Abhishek_clay_tech_System · ‎2026-01-30

Revenue_Reports

This Qlik app is designed to provide a comprehensive overview of sales performance across multiple dimensions, including region, city, product category, and time. It consolidates key metrics such as total sales, total customers, number of sub-categories, and average unit price, while allowing users to dynamically filter the data by category and region. The visualizations include region-wise sales, quantity and sales by sub-category, city-wise total sales, product-wise units sold, quarterly sales trends, and state-wise sales contributions, offering a clear and interactive view of the business performance. It is primarily used by sales managers, marketing teams, and business analysts to monitor trends, identify top-performing products, and assess regional and city-level performance. By providing actionable insights through an interactive and easily navigable interface, the app enables stakeholders to make informed, data-driven decisions that improve sales strategies, optimize inventory, and enhance overall business performance.

Discoveries

The Qlik app reveals clear differences in sales performance across regions, cities, and product categories, with certain regions and states contributing a significantly higher share of total sales. Major cities emerge as key revenue drivers, while other locations show potential for growth. Product-level analysis indicates that a limited number of high-demand items account for a large portion of total units sold, particularly within electronics and fashion categories. Sales trends show steady growth over recent years, with minor fluctuations in the most recent period that may be influenced by seasonality or market conditions. Overall, the app highlights stable pricing, strong regional concentration, and identifiable top-performing products, enabling stakeholders to focus on high-impact areas while addressing underperforming segments to improve overall business performance.

Impact

This report enables stakeholders to quickly understand sales performance across regions, products, and time through an interactive and unified view. It supports data-driven decisions by identifying high-performing areas, trends, and improvement opportunities. As a result, it helps optimize sales strategies, inventory planning, and overall business efficiency.

Audience

This app is used by sales managers, marketing teams, business analysts, and senior leadership to track and evaluate sales performance across regions, cities, and product categories. It is primarily accessed through Qlik Sense dashboards during daily and weekly performance reviews and is a critical tool for monitoring business health, identifying trends, and supporting strategic decision-making.

Data and advanced analytics

The app has improved the business’s ability to analyze sales data by providing interactive, real-time insights across multiple dimensions. It enables faster identification of high-performing areas and underperforming segments, leading to more effective sales strategies and improved operational efficiency.

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