Skip to main content
E

Erisna

Erisna is a data cataloging and validation platform that automates data cleansing and modeling processes, enabling teams to efficiently manage and understand data from multiple sources. By providing tools for data discovery, profiling, and compliance tagging, Erisna addresses issues of data quality and governance, ensuring accurate and reliable information for decision-making.

London, United KingdomFounded 20216700+ followers
Updated 4 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Organizations struggle to maintain a unified understanding of their data assets due to data silos and scattered documentation across multiple sources. Inadequate data discovery and validation processes lead to production pipeline failures and debugging nightmares for engineers. This results in inaccurate data, hindering effective decision-making and regulatory compliance.

Solution

Erisna is a data governance and data quality platform that provides a unified view of an organization's data assets. The platform enables users to discover, catalog, map data lineage, and clarify data ownership across various sources. Erisna automates data validation processes, cleanses historical data, and flags anomalies, ensuring data reliability and accuracy. By establishing clear data policies, assigning data owners, and detecting sensitive data, Erisna facilitates regulatory compliance and audit readiness.

Target Audience

Erisna is designed for data leaders, data engineers, and other data professionals who need to govern, scale, and drive value from data, as well as organizations in regulated industries such as insurance, financial services, and the public sector.

Features

  • Automated data discovery and cataloging across multiple data sources
  • Data lineage mapping to track data flow and transformations
  • Data profiling and validation to identify data quality issues
  • Business glossary for defining and standardizing data terms
  • Data observability to monitor data quality metrics and detect anomalies
  • Compliance tagging and sensitive data detection for regulatory compliance
  • Role-based access control to manage data access and permissions
  • Developer API for integrating with existing data infrastructure
This profile is AI-generated and may contain inaccuracies.