Data-Analytics/Day_004_Intelligent_Alerts.md

📅 Day 4 — Implementing Intelligent Alerts

🎯 Goal

Make the workflow proactive — detect critical issues and send immediate alerts.

---

🧩 Tasks

1. Branch the Workflow

• After Python node, split into two paths:
  • Reporting/Storage
  • Alerts

---

2. Define Alerting Logic

• Add If Node with conditions:
  • avg_sentiment_score < -0.4
  • num_negative_reviews > 5

---

3. Craft Alert Message

• Add a Set Node on the True branch: 🚨 URGENT: Negative Sentiment Spike! Product: {{ $json.product_name }} Avg Sentiment: {{ $json.avg_sentiment_score }} Please investigate immediately.

yaml Copy code

---

4. Configure Alert Notification

• Add Slack Node connected to alert message.
• Send to high-priority channel (#ecommerce-alerts) with @channel mentions.

---

✅ Deliverable

• Workflow detects predefined issues.
• Sends urgent alerts separately from daily summary.

---

💡 Solution

• Proactive monitoring is in place.
• Stakeholders receive alerts for anomalies immediately.