Collibra - Detailed Review

Frequently Asked Questions about Collibra

How does Collibra help with metadata management?

Collibra enables organizations to collect, organize, and enrich metadata through its data catalog and governance capabilities. It supports automated metadata harvesting, which allows users to discover and document data assets efficiently. This automation reduces manual effort and ensures up-to-date documentation of data assets and their attributes.

What are relationships in Collibra, and why are they important?

In Collibra, relationships define how assets are connected, such as a table being part of a database or a report using specific data elements. These relationships provide context and enable a better understanding of data dependencies and impacts, helping users to see how changes in one asset might affect others.

How does Collibra support policy management?

Collibra allows organizations to define, enforce, and monitor data policies. Users can associate policies with specific assets, automate compliance workflows, and track adherence to regulatory or organizational standards. This ensures that data is managed in accordance with the defined policies and regulations.

What is the purpose of certifications in Collibra?

Certifications in Collibra validate that specific data assets meet quality and governance standards. Certified assets are marked as trusted, helping users confidently rely on them for decision-making. This certification process ensures that the data used is reliable and compliant with governance standards.

How does Collibra facilitate data discovery?

Collibra’s data catalog provides advanced search and filtering options, enabling users to find data assets based on metadata, tags, and relationships. Features like natural language search further simplify data discovery, making it easier for users to locate the data they need.

How can Collibra be used to manage data privacy?

Collibra supports data privacy through tools for classifying sensitive data, mapping regulations to data assets, and managing user access. It helps organizations comply with laws like GDPR and HIPAA by automating the enforcement of data privacy and assessing the regulatory risk from sensitive data.

What are some common roles in a Collibra environment?

Common roles in a Collibra environment include Data Steward, who oversees data quality and governance; Data Owner, responsible for specific datasets; Business Analyst, who uses data for analysis and insights; and IT Administrator, who manages the technical setup and integrations.

How does Collibra handle data lineage for structured and unstructured data?

Collibra primarily focuses on structured data but can capture lineage for unstructured data by integrating with tools that parse and extract metadata from documents, logs, and other unstructured sources. For structured data, Collibra provides detailed lineage visualization to show how data flows through systems, transformations, and usage points.

How does Collibra ensure audit readiness and compliance for enterprises?

Collibra simplifies audit readiness by automating the documentation of policies, workflows, and data lineage. It provides a transparent view of who accessed or modified data, when changes were made, and how data flows through systems. The compliance dashboard highlights adherence to regulations, and workflows automate audit trails and ensure every action is logged and accessible.

How does Collibra support collaboration between teams?

Collibra fosters collaboration through shared glossaries, workflows, and dashboards. Team members can communicate through comments, assign tasks, and collectively manage data governance activities. This collaborative environment ensures that data governance is a team effort, enhancing transparency and efficiency.

How does Collibra’s API enhance its extensibility?

Collibra’s API allows developers to integrate the platform with external tools and systems, enhancing its extensibility. Through the API, organizations can automate tasks like metadata ingestion, lineage updates, and policy enforcement. Custom applications can be built to interact with Collibra’s catalog and workflows, enabling tailored solutions for unique business needs.

How does Collibra manage data quality issues?

Collibra facilitates the tracking of data quality issues through its integrated workflows and dashboards. Issues can be reported manually by users or detected automatically through data quality integrations. Once identified, workflows assign tasks to relevant stakeholders, provide status updates, and enforce resolution deadlines. This structured approach ensures timely resolution of issues and maintains trust in organizational data.