It’s time to rethink data governance. Secoda simplifies how organizations enable secure access to data.
The command center for your entire data stack. Control who has access to what data assets internally and externally with granular RBAC.
Built-in policies for GDPR, HIPAA, and more ensure your data governance meets industry standards without extra overhead. Automatically apply compliance controls across your entire data stack while identifying and protecting PII to prevent unauthorized access and mitigate risk.
Admins can tailor data access for individuals and teams, ensuring each business unit only sees and controls what they need. Custom roles align with your structure, from department-based permissions to contractor access.
Transform complicated access requests into smooth workflows. Automated approval processes, customizable request forms, and audit trails make managing data access both secure and efficient.
“With over 15 thousand tables in BigQuery, Secoda is the only way we can sustain a precise level of data management"
Richard Hondrich
Head of Data and Analytics
Ensure data integrity without sacrificing speed. Secoda makes it easy to have everyone on the same page.
Secoda integrates with Git for full version control, ensuring data integrity, collaboration, and compliance.
Organize teams, collections, and documents to keep information structured, discoverable, and governed.
Control AI data access with fine-grained rules, ensuring security, precision, and relevant responses.
Secoda upholds industry-leading security standards while being user-friendly, fast, and intuitive.
Built for data teams, designed for everyone so you can get more from your data stack.
Admins and Editors on Secoda can view most frequently used
datasets and user’s most recently opened resources.
Secoda
provides insight on what the most frequently asked questions
from your team are, empowering admins to be proactive about
their data documentation. See our guides for best practices
for running a
data governance program
Data governance is the practice and concept of managing data throughout its lifecycle. This includes gathering, understanding, protecting, and leveraging your data.
Metadata audits ensure that your data is secure and protected against threats. Metadata audits are a critical part of the data governance process, and should be performed regularly in order to ensure the accuracy of your metadata.
Automated data lineage is the process of tracking the lifecycle of data assets. This includes the origin of data, transformations, movement across applications and systems, and destinations. Without data lineage processes in place, it can be difficult for organizations to pinpoint where data errors and inaccuracies are coming from and where data is going.
Secoda consolidates your data monitoring and observability, catalog, lineage, and documentation in one central platform so you can reduce complexity and save budget.
Data Cataloging: Centralized metadata
management for understanding data meaning, structure, and
relationships.
Data Lineage:
Tracking data flow and transformations to ensure accuracy and
accountability.
Data Quality Management:
Identifying and addressing data issues like inaccuracies,
inconsistencies, and missing data.
Data Security and Privacy:
Implementing measures to protect sensitive data and comply
with regulations (e.g., GDPR, HIPAA, CCPA).
Compliance and Audit Trails:
Ensuring adherence to industry regulations and providing
auditability.
Data Stewardship:
Defining roles and responsibilities for data management and
governance.
Improved Data Quality: Ensuring data
accuracy, consistency, and completeness.
Enhanced Data Security:
Protecting sensitive information and complying with
regulations.
Better Decision-Making:
Providing reliable and trustworthy data for informed
decisions.
Increased Efficiency:
Streamlining data management processes and reducing manual
effort.
Reduced Risk:
Minimizing compliance issues and data breaches.
Develop Processes First: Implement the people
and processes of your data governance program before investing
in tools.
Align with Business Strategy:
Ensure your data governance policies align with corporate
strategy and business objectives.
Define Roles and Responsibilities:
Clarify roles and responsibilities for data governance before
selecting tools.
Consider Data Maturity:
Wait until you're above a certain level of data maturity
before starting to browse for tools.
Submit Data Governance Requests Early:
As soon as possible in the procurement process to avoid
delays.
Secoda is a complete data governance platform that combines
all of the below tools into an intuitive and easy to use
command center:
Data Governance Software:
tools that provide comprehensive data governance
capabilities.
Metadata Management Tools:
Tools for managing and organizing data metadata.
Data Quality Tools:
Tools for identifying and addressing data quality issues.
Master Data Management (MDM) Solutions:
Tools for managing and standardizing master data across an
organization.
Data Lineage Tools:
Tools for tracking data flow and transformations.
Scalability and Extensibility: Ensure the
tool can handle growing data volumes and evolving needs.
Integration with Existing Systems:
Choose a tool that integrates seamlessly with your current
infrastructure.
Ease of Use and Implementation:
Select a tool that is easy to implement and use for your
team.
Customization:
Choose a tool that can be customized to meet your specific
needs.
Vendor Support:
Consider the quality and availability of vendor support.
Cost and Procurement Process:
Evaluate the cost and procurement process of the tool.
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