Latest Platform Features: Data Observability and Validation

What Is Data Observability & Validation?

Cherre defines data observability as the ability to monitor the health and behavior of your data pipelines from source to destination. It helps identify bottlenecks, track delivery schedules, and catch issues before they affect your BI tools or AI models.

Data validation ensures that your data is accurate, consistent, and compliant with your internal rules. This is especially critical for real estate, where data often comes from fragmented sources like ERPs, CRMs, and third-party platforms.

New feature highlights alert!

Cherre’s updated observability UI offers complete transparency into data pipelines, allowing users to monitor active connectors, track data delivery schedules, and inspect ingestion health at the pipeline, table, and column levels. The platform displays critical metrics like row and column counts, null value percentages, and field-level distinctiveness, helping teams quickly identify anomalies.

The new Entity Relationship Diagram (ERD) and interactive data dictionary features give users an easy way to visualize and understand the structure of their data across all sources.

Users can now browse Cherre’s growing Validation Rule Library, activate predefined rules, and customize thresholds to match their internal standards - all without needing engineering support, as part of the self-service capabilities.

Looking ahead, Cherre is expanding support for custom SQL-based validation rules, allowing advanced users to build and run cross-platform checks using computed tables. This opens up powerful use cases like comparing values between systems (e.g., Yardi vs. VTS) to ensure consistency across your property data ecosystem.

Why are Data Observability and Validation important  - and who are they for?

If you’re a real estate data professional, asset manager, data engineer, or part of a fund or operations team, these tools are built to help you:

• Gain real-time insight into your data health
• Catch and correct errors before they hit dashboards
• Strengthen trust in the analytics driving high-value decisions
• Reduce reliance on IT by managing data quality rules yourself

Cherre's Data Observability and Validation are designed to improve data quality, monitor data pipelines in real-time, and empower users with self-service validation capabilities.