How to deploy the dashboard on Vercel

Deploy with Vercel

Once you’re happy with your dashboard on localhost, it’s deployment time. The GitHub repo explains how to install Vercel, but it’s trivial: create an account, install with npm, and you can even ask Claude to lend a hand.

With everything installed, Claude runs the deployment and the dashboard goes live, including the landing pages view added in the previous chapter. The app uses the service account created earlier to reach the BigQuery dataset and serve the data.

Mind the visibility

The deployed dashboard is open to everyone. In the video that’s fine because the data is fully anonymized, but if you have sensitive information, ask Claude to add a password. It’s simple, and it keeps your numbers from sitting open on the internet for anyone.

The full loop

With this, Claude stays connected to your data and to your code repository: you can modify the dashboard however you want.

And when you need to work the data side again (adding new fields, for example), you go back to Detrics, into table groups, and edit any of the tables. The edit lands in BigQuery; from there you can update the master and keep enriching the dashboard with more information. Full control of the data, which is the foundation of everything.

Want the next level? The data warehouse series builds the ad-level version: 3 years of Meta and TikTok history with every ad’s image in your own cloud.