Data is the foundation of every AI project, and understanding its quality, structure, and relationships is essential for building accurate and effective models. Atlas provides comprehensive insights into the health and composition of your datasets, enabling your team to identify patterns, ensure data quality, and continuously monitor data readiness for AI initiatives.
How It Works
Atlas’ features are designed to give you complete control over your data:
Catalogue
Easily explore data sources, identify issues, and understand table details.
Data Ontology
Map and interact with the relationships between data points, offering real-time, in-depth exploration of your data landscape.
Why Data Profiling & Observability Matter
Understand Your Data
Building successful AI models depends on having a clear understanding of your data's structure, relationships, and quality. Without this visibility, you risk working with flawed datasets, which can lead to inaccurate predictions and inefficient development processes.
- Ensure that data is well-organized, clean, and accessible for AI projects.
- Gain deeper insights into data relationships to build more accurate models.
- Monitor data quality over time to maintain high standards as data evolves.
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