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28. End-to-End Project: Blinkit Quick-Commerce Dashboard

28.9 Step 8 – Publish and Automate

  1. Home › Publish to the Quick Commerce – Dev workspace; test there.
  2. Promote to the production workspace (or via a deployment pipeline).
  3. In the semantic model settings: enter data source credentials; configure the gateway if files/databases are on-premises; set scheduled refresh daily at 7:00 AM; add failure notification contacts.
  4. Security: add each city manager (or a security group) to the City Manager role.
  5. Pin the key cards and the orders-by-hour chart to an Operations Dashboard; add a data alert on the Total Orders tile.
  6. Create an app for the operations team with audiences, and set up a daily subscription for the operations head.

Portfolio advice

Write a short project summary: business problem, data sources, modelling decisions (for example, why orders are counted with DISTINCTCOUNT), key measures, insights found and screenshots of your own report. Clearly label the data as fictional sample data. Interviewers value your ability to explain why you made each design choice.

Congratulations, friends! Your first full Power BI project is ready. Practise explaining this project in your own words.

Ravindra Bagale's Tip

Friends, many students publish and forget to set up scheduled refresh or the gateway, so the report shows old data the next day. After publishing, configure the credentials, the gateway (if needed), a refresh schedule and failure notifications, then check the refresh history the next morning. Clear?

Fix common mistakes

Wrong result Reason Correction
Report shows yesterday's data No scheduled refresh Configure credentials, gateway, schedule
Numbers don't match source No reconciliation Check row count and total for one city/day

About this data: This table uses columns: Wrong result, Reason, Correction. Values shown are the lesson examples already on this page (not a new dataset).

Practise independently

Practice task

Reconcile the sample: rows, total and Pune total.

Practice file (fictional): visuals_orders_apr_may_2026.csv

Hints
  • Card vs CSV.
Solution

8 rows, ₹2,100, Pune ₹850.

Thodkyaat sangaycha tar (quick recap)

Requirements aadhi, raw data untouched, Power Query madhe cleaning, star schema, base measures, consistent pages, RLS, quality check aani scheduled refresh. Ha flow interview madhe "explain your project" la uttar mhanun vapra. Page 1 var promise, page 2 var store, ani total orders he title nahi. Aata pudhe jaauya practice exercises kade.

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