MVP analytical dashboard
Meta
Create an MVP web dashboard for marketers based on Google Ads data (data stored in Google BigQuery).
The task is to implement a user-friendly dashboard with tables, charts, sorting, pagination, filtering, and cross-filtering.
Authorization and roles are not required at this stage.
Functionality
Tables: Campaigns, Ad Groups, Ads, Search Terms, Devices, Days of Week, Hours
Common columns: Name/ID, Impressions, Clicks, CTR, Cost, Conversions, CPA, Conversion Value, Profit, ROAS
Behavior: sorting, pagination, dropdown filters, cross-filtering, single/multi-select, heatmaps
Charts: line (dynamics), bar (comparison), pie (distribution by devices)
Interactivity: click on chart → filters tables and other charts
Technologies (MVP)
Frontend: React.js, TypeScript, Vite, Recharts/D3.js
Backend: Node.js + Express.js (REST)
Data: Google BigQuery
Hosting: Cloud Run (API), Firebase Hosting/GCS (Frontend)
GitHub: private repository of the client
Result
Working dashboard (link for testing)
The functionality of the dashboard should replicate the capabilities of Google Data Studio (Looker Studio).
Links to a sample dashboard in Data Studio and design mockups will be provided to selected performers.
Source code in GitHub + README
Short user guide
Timeline
Approximately 3–5 weeks
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United States