Day 3 — Data Storage and Basic Reporting ## 🎯 Goal Persist processed data and send a **daily summary report** to stakeholders. --- ## 🧩 Tasks ### 1. Set Up Data Destination - Create a **Google Sheet** or **Database Table**: Date | ProductID | TotalRevenue | UnitsSold | AvgSentimentScore yaml Copy code --- ### 2. Store Processed Data - Add a **Google Sheets Node** after Python node. - Authenticate Google account. - Configure to **Append** new rows. - Map fields from Python output to sheet columns. --- ### 3. Craft Summary Report - Add a **Set Node** to create a summary message: Daily Report: Top product by revenue was {{ $json.product_name }} with ${{ $json.total_revenue }} in sales. yaml Copy code --- ### 4. Send Report - Add **Slack** or **Email Node**. - Send message to the appropriate channel/email list. --- ## ✅ Deliverable - Daily analysis appended to **Google Sheet**. - Formatted summary sent to Slack/email automatically. --- ## 💡 Solution - Historical data now stored. - Stakeholders receive a daily summary without manual effort.