Data-Analytics/Day_004_Intelligent_Alerts.md

📅 Day 4 — Implementing Intelligent Alerts

🎯 Goal

Make the workflow proactive — detect issues automatically and notify the right people.

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🧩 Tasks

1. Branch the Workflow

• After the Python node, create two branches:
  • One for reporting/storage.
  • One for alerts.

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2. Define Alerting Logic

• Add an If Node.
• Configure the following conditions:
  • avg_sentiment_score < -0.4
  • num_negative_reviews > 5

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3. Craft Alert Message

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

yaml Copy code

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4. Configure Alert Notification

• Add a Slack Node connected to the alert.
• Send the alert to a high-priority channel like #ecommerce-alerts.
• Optionally, tag users (@channel) for instant visibility.

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✅ Deliverable

A proactive alerting system that:

• Detects negative sentiment or unusual review spikes.
• Sends urgent alerts directly to Slack.