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Day 3 — Data Storage and Basic Reporting_Updated

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Day 3 — Data Storage and Basic Reporting_Updated
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tejaswini
2025-10-09 06:51:43 +00:00
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Day_003_Data_Storage_and_Reporting.md
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Day 3 — Data Storage and Basic Reporting
## 🎯 Goal
Persist the processed data for historical analysis and send a **daily summary report** to stakeholders.
Persist processed data 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:
### 1. Set Up Data Destination
- Create a **Google Sheet** or **Database Table**:
Date | ProductID | TotalRevenue | UnitsSold | AvgSentimentScore
yaml
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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.
### 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 the Summary Report
- Add a **Set Node** to create a short summary message.
- Example:
### 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
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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.
### 4. Send Report
- Add **Slack** or **Email Node**.
- Send message to the appropriate channel/email list.
---
## ✅ Deliverable
- The workflow appends daily data to a Google Sheet.
- A formatted summary is sent automatically to Slack or email.
- 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.