Repository: Azure-Samples / PowerBI-Ticketing Why it’s high quality: Built to connect to ServiceNow or Jira data structures. It includes a "Burn Up Chart" and heatmaps for ticket volume by hour.
A "free download" isn't a bargain if it breaks your report. Before you open that .pbix file from a stranger's repository, run this quick quality check: Before you open that
Note: As of 2026, the following are known exemplars (names anonymized for generality): Here are the standout repositories and authors you
| Repository Focus | Key Quality Feature | Star Count (approx) | |----------------|---------------------|---------------------| | Sales & Finance Dashboard | Dynamic date tables, periodic snapshot measures | 1,200+ | | HR Analytics (Attrition) | Decomposition tree, what-if parameters | 850+ | | Supply Chain KPI | Map visuals with custom geo-coding, incremental refresh | 620+ | | Marketing Campaign ROI | Parameterized DAX for budget vs. actual | 490+ | periodic snapshot measures | 1
For beginners, GitHub can look intimidating. Follow this simple workflow:
When we talk about "high quality," we are looking for clean data models (star schema), sophisticated DAX, and professional UI/UX. Here are the standout repositories and authors you need to bookmark right now.
Unlike random file-sharing sites, GitHub offers: