Data governance is a set of processes that ensures enterprise data remains available, usable, secure, and reliable. Effective data governance is crucial for maintaining high data quality, safeguarding privacy, and meeting regulatory compliance. Without proper governance, organizations risk data breaches, compliance failures, and inefficient data management.
Data quality: Proper data governance ensures high-quality data that is accurate, consistent, and reliable.
Data privacy: Data governance helps protect sensitive data and ensures privacy compliance.
Regulatory compliance: Data governance processes ensure that organizations meet data-related regulatory requirements.
What are Secoda's data governance features?
Secoda is an all-in-one platform that combines data cataloging, governance, and observability, making it a more comprehensive and cost-effective solution for data management. With a broader feature set, Secoda stands out for its data quality tools, automation, and an AI-powered co-pilot, which make data governance more powerful and accessible.
Comprehensive data catalog: A detailed, searchable inventory of data assets that facilitates metadata management, data quality control, and regulatory compliance.
Automated workflows: Secoda automatically tags sensitive information, assigns data ownership, and writes documentation, reducing the manual workload for governance tasks.
Role-based access control (RBAC): Protects data by enabling secure, permission-based access to data, reinforcing data security and governance policies.
Collaboration for governance: Features like Teams and Ownership support cross-functional collaboration on governance, ensuring comprehensive data stewardship.
Data lineage: Secoda’s automated data lineage provides full visibility into data flow, showing how data moves and transforms from source to destination. This transparency helps teams understand dependencies, assess the impact of changes, and troubleshoot issues quickly.
Data quality monitoring: Secoda’s no-code monitoring allows teams to closely track data quality, performance metrics, and query efficiency without requiring technical setup. By automating these checks, teams can proactively identify issues, ensure data accuracy, and improve overall resource allocation- leading to better data reliability and reduced operational costs.
Data quality scoring (DQS): Secoda’s Data Quality Scoring (DQS) offers a structured approach to assessing and improving data quality across datasets. DQS provides end-users with clear, real-time scores that reflect data accuracy, completeness, and reliability, giving them confidence in using trustworthy data. For data producers, DQS offers actionable recommendations to address issues proactively and enhance data quality over time.
Access approvals: Secoda has built-in data access approvals to further enhance security and governance, which streamlines requests and ensures tighter compliance with organizational policies.
AI co-pilot: Secoda’s AI-driven co-pilot supports users with automation and real-time insights, enabling faster access to information and reducing manual governance tasks.
Want to see these features in action? Read how TransformCo, one of the largest integrated retailers in the U.S., transformed its data governance with Secoda. By consolidating over 400 databases, enhancing data quality, and streamlining documentation, Transformco created a single source of truth, improved data accessibility, and empowered teams with faster, more reliable decision-making through Secoda’s AI-driven tools.
Secoda’s Data Quality Score provides you with actionable insights to improve your scores in just a few clicks.
What are Atlan's data governance features?
Atlan focuses on a customizable and collaborative approach to data governance, providing tools to manage metadata, data quality, and compliance with flexibility and alignment to organizational policies.
Comprehensive data catalog: A centralized data catalog that helps teams manage metadata, enhance data quality, and support compliance requirements.
Role-based access control (RBAC): Ensures secure access to data with permission settings that safeguard data access.
Access approvals: Enables custom workflows for governance processes, such as access approvals, aligning with organizational policies and regulations.
Collaboration for governance: Collaboration features allow teams to work together on governance tasks, enhancing data stewardship and shared accountability across the organization.
Lineage: Automated lineage visualizations to see how data flows across data sources.
Which platform is better suited for your organization's data governance needs?
Both Secoda and Atlan provide data governance features, but Secoda’s comprehensive approach and robust automation make it a more powerful, user-friendly solution for broad data governance needs. The choice between Secoda and Atlan depends on your organization’s specific governance priorities:
Automation: Secoda excels in automation, simplifying tasks such as PII scanning, tagging, and documentation, while Atlan requires more manual input for these tasks. Secoda’s all-in-one platform reduces costs and improves accessibility through these automation features, as well as an AI co-pilot.
Data quality monitoring and scoring: Secoda offers advanced data quality monitoring and a scoring system (DQS), giving users actionable insights into data health. Atlan does not currently offer these features.
Carefully assess your data governance goals to determine which platform aligns best with your organization’s requirements.
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