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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.
This Qlik Sense application helps internal recruiters efficiently review and identify qualified job applicants. It analyzes resume content and displays a word cloud of key skills, qualifications, and terms, allowing recruiters to quickly spot candidates with relevant experience. When a candidate is selected, their resume is displayed directly within the application for detailed review. Used by the recruiting team, the app reduces manual screening time, improves candidate discovery, and enables faster, more informed hiring decisions.
A collection of Qlik and Data & AI Literacy related videos and articles, updated to Jun 2026
A Sankey for flows that outgrow the native chart: up to ten stages, richer selection, and extended visual context. See it all in action on a global supply chain demo.
A circular dendrogram lays out a hierarchy as a radial tree of explicit parent-child connections — wide and deep, on a single sheet. See how it makes a large hospital's org structure readable at a glance.
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.

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were frequently at risk of staleness — insights that were previously only surfaced reactively when end users reported outdated data.

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.

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.

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.

Cidados

Cidados

Dados abertos do Governo de Goiás

Dados abertos do Governo de Goiás

Enable working with data just like in Excel with no learning curve. From editable tables and advanced formulas to formatting, validation, pivoting, and charting — everything happens right inside your Qlik Sense apps.

Integrating Excel-like spreadsheets lets users interact with data without switching tools or context. This drives faster decisions, smoother collaboration, and higher dashboard adoption.

Teams tired of handling export-to-Excel requests, and anyone looking to bring familiar spreadsheet workflows into their Qlik Sense apps.

Powered by the Spreadsheets extension for Qlik Sense, this app uses fictional data to illustrate its key capabilities in action. From natively importing Excel templates and adding sparklines to running AI-driven transformations and predictive models.
🔗 >> VIEW LIVE OR DOWNLOAD QVF <<
📝🎥 How to Create an Excel-Style Spreadsheet in Qlik
📝🎥 How to Import an Excel Template into Qlik

1) Explore candidate performance & popular vote trends in depth — at national, state, and county levels.
2) Identify how key swing geographies influenced outcomes.
3) Examine the effects of third-party & independent candidates — and see how Daenerys Targaryen, Donald Duck, Frank Underwood, Harrison Ford, and others fared on real ballots.

Streamlines the exploration of complex election data, enabling faster insights and deeper analyses.

Political analysts, journalists, researchers, educators, and anyone interested in uncovering trends and patterns in U.S. presidential voting.

Built on data from MIT & Harvard, it uses Map, Decomp Tree with AI Splits, Circular Gauge, Bar Chart, Treemap, and KPI visualizations — unlocking insights at every level.