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OwlDQ

Provides a data quality and observability platform that uses machine learning to automatically generate and adapt data monitoring rules, reducing the need for manual rule creation. It identifies and remediates data quality issues in real time, ensuring accurate, consistent, and compliant data across enterprise systems.

McLean, United StatesFounded 20171K
Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Organizations struggle to maintain data quality across diverse systems due to the manual effort required to create and adapt data monitoring rules. This often leads to inaccurate, inconsistent, and non-compliant data, resulting in increased operational costs and flawed business decisions.

Solution

Collibra Data Quality & Observability provides a data intelligence platform that automates data monitoring and anomaly detection using machine learning. The platform automatically generates and adapts data quality rules, reducing the need for manual configuration. It connects to various data sources, including cloud platforms and databases, and scans data where it resides using pushdown or pull-up processing. By identifying and remediating data quality issues in real time, the platform ensures that data is accurate, consistent, and compliant across the enterprise. The platform also provides features for data classification, schema change detection, and data pipeline health monitoring.

Target Audience

The primary target audience includes data engineers, data stewards, data governance teams, and other data professionals who need to ensure data quality and reliability across their organizations.

Features

  • AI-powered AdaptiveRules that automatically generate and adjust to changing data conditions
  • Automated data classification using industry-specific rules for enforcement of data quality
  • Generative AI for writing complex data quality rules using natural language prompts
  • Data pipeline health monitoring to identify blind spots in data operations
  • Schema change detection to prevent issues on dashboards and reports
  • Pushdown and pull-up processing for efficient data scanning
  • Connectors to over 40 databases and file systems
This profile is AI-generated and may contain inaccuracies.