
Collibra use case
Streamline compliance management
An intelligent approach to data compliance
Tackle today's critical regulations, including GDPR, CCPA, BCBS 239, CCAR, DFAST and Solvency II, with a holistic approach to data privacy and data governance.
Less risk. More compliance.

Operationalize the discovery and curation of sensitive data
Leverage machine learning to quickly and accurately catalog and document authoritative data sources and critical data. Automate the classification and tagging of data to easily identify and understand what needs to be protected, where it resides and how it moves throughout the organization.

Empower employees to confidently and consistently use data
Establish clear data ownership to ensure better accountability. Create and maintain a regulatory glossary to ensure that privacy terms and concepts are used consistently at scale.

Manage risks around sensitive data usage
Get full context around what sensitive information is being used, why it’s used and who is using it. Document and ensure that the right privacy controls and safeguards are in place to mitigate risks.

Create transparency around data flows
Dynamically generate a data map to quickly visualize how data flows within the organization, between third parties and across borders, to manage risks.
Accelerate compliance reporting
View data in ways that make sense for your organization and quickly leverage relevant data for reporting, auditing and regulatory responses.

The Collibra advantage

Sensitive data discovery
Leverage machine learning to accurately recognize and label sensitive data.

Sustainable data governance
Standardize definitions, establish ownership and automate policies to easily scale governance across regulations. Accelerate compliance efforts by enabling employees to access and use accurate, trusted and compliant data.

Embedded privacy by design
Enable responsible access and use of data across all of your teams.

Data mapping with automated data lineage
Generate a visual map of how data flows throughout the organization, enabling teams to manage cross-border data transfers.

Continuous data quality
Ensure data used in reporting meets the rigor and integrity necessary for regulatory reporting, responses and audits.