Build the model before the visuals
Read what each row represents and create only the documented relationships. Check your totals before adding more visuals. A polished chart does not correct a duplicated amount or an ambiguous measure.
Find free datasets for Power BI dashboards and data modeling. Compare sales, subscriptions, marketing, and inventory analysis projects.
Decide what the report should explain: order activity, customer retention, campaign spending, or inventory movement. Then choose the dataset whose fields and history support that question.
| Dataset | Model shape | Dashboard ideas | Useful measures |
|---|---|---|---|
| Ecommerce Sales & Returns | 6-table relational model | Order activity, repeat customers, payments, and refunds | Counts, rates, and value |
| SaaS Subscriptions & Churn | 5-table relational model | Current MRR, retention, billing, and payment outcomes | MRR, churn, retention |
| Marketing Campaigns & Conversions | 4-table relational model | Spend, conversion rate, CAC, ROAS, and channel mix | Counts, rates, and value |
| Inventory & Supply Chain | 7-table relational model | Stock position, receipts, supplier lead time, and adjustments | Closing units, receipts, lead time |
| Bike Sharing Demand | Time-series table | Hourly demand, seasonality, weather, and rider type | Counts, rates, and value |
For the ecommerce source tables, begin with one-direction relationships from dimensions into business events.
Read what each row represents and create only the documented relationships. Check your totals before adding more visuals. A polished chart does not correct a duplicated amount or an ambiguous measure.
Label the reporting period, units, and metric definitions. Include a short source note and explain any filters that change the measured population. A useful dashboard should make its assumptions visible.
This collection helps you find data for your own reports. Check each download list for the actual included files; a Power BI project idea does not mean a finished report file is provided.
Practice the joins, models, and definitions that turn source records into a report someone else can trust.