Real‑Time Data Quality Monitoring & Anomaly Alerts

[#1]

Description:
Add a built‑in Data Quality Dashboard in RT-CDP that continuously monitors incoming streaming data for schema deviations, missing key attributes, duplicate records, and outlier values.

When anomalies exceed configurable thresholds, trigger:

• Automated alerts (email or slack)

• Visual drill‑downs showing the offending events

• Guided remediation steps (e.g., map this unexpected field, fill missing email, merge duplicate IDs)

Why is this feature important?

1. Proactive Hygiene: Catch ingestion errors the moment they occur, before they corrupt unified profiles.
2. Faster Troubleshooting: Teams spend less time hunting for what broke in the data pipeline and more time fixing it.
3. Higher Confidence: Marketing and analytics users trust that every profile and audience segment is built on accurate, complete data.