Data-Analytics/Day_003_Data_Storage_and_Reporting.md

#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.