1.1 KiB
1.1 KiB
🎯 Goal
Persist the processed data for historical analysis and send a daily summary report to stakeholders.
🧩 Tasks
1. Set Up a Data Destination
- Create a Google Sheet or Database Table.
- Define columns such as: Date | ProductID | TotalRevenue | UnitsSold | AvgSentimentScore
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2. Store the Processed Data
- Add a Google Sheets Node after the Python node.
- Authenticate your Google account.
- Configure it to Append new rows.
- Map each field from the Python output to the corresponding columns.
3. Craft the Summary Report
- Add a Set Node to create a short summary message.
- Example: Daily Report: Top product by revenue was {{ $json.product_name }} with ${{ $json.total_revenue }} in sales.
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4. Send the Report
- Add a Slack or Email Node.
- Send the summary to:
- A Slack channel (e.g., #daily-sales-reports), or
- A mailing list for stakeholders.
✅ Deliverable
- The workflow appends daily data to a Google Sheet.
- A formatted summary is sent automatically to Slack or email.