Insights And Drive Business Decisions: How I Fix An Analytics Issue: Leveraging Cloud-based Analytics Tools To Extract

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.

Should I focus more on (like AWS, Snowflake, or Google Cloud)?

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 I skipped the local spreadsheets and went straight to our

I calculated that if left unfixed, this glitch would cost the company $50,000 per day.

It was 8:00 AM on a Tuesday when the "Red Alert" email hit my inbox. Our flagship e-commerce dashboard showed a 40% drop in checkout conversions overnight. No one knew why. Here is how I used our cloud-based analytics

Is this for a , a portfolio , or a job interview ?

I ran a SQL query to segment the drop by geography, device, and browser. Our flagship e-commerce dashboard showed a 40% drop

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"