How I Fix An Analytics Issue: Leveraging Cloud-based Analytics Tools To Extract Insights And Drive Business Decisions «Certified · Report»

It wasn't a site-wide crash; it was a localized API handshake failure occurring only in the cloud-service layer for mobile users. 🚀 Phase 3: Driving the Decision

Knowing what happened wasn't enough; I needed to know the business impact. I leveraged a (like Looker or Tableau) connected directly to our cloud instance. Heatmapping: I visualized the user journey. It wasn't a site-wide crash; it was a

Here is how I used our cloud-based analytics stack to find the ghost in the machine and save the quarter. 🔍 Phase 1: The Cloud Deep Dive Heatmapping: I visualized the user journey

Is this for a , a portfolio , or a job interview ? Within minutes, the cloud engine processed millions of rows

Within minutes, the cloud engine processed millions of rows. The culprit? Users on a specific version of Safari were seeing a 404 error at the final "Pay" button. 💡 Phase 2: Extracting the "Why"

Armed with a dashboard that updated in real-time, I didn't just tell the CTO there was a bug—I showed the .

I skipped the local spreadsheets and went straight to our . I needed the raw, real-time power of the BigQuery environment to see the full picture.