Collibra use case

Power trusted, self-service analytics

Self-service analytics

Overview
How we can help
The Collibra advantage
Customer stories
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Power analytics with intelligent data.

Take the guesswork out of decision making. Give your analysts a single place to discover, understand and access data. Drive greater data literacy and empower data consumers with trusted data for analysis and reporting.

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76% Percentage of time spent by analysts manually finding, validating and preparing data.¹
65% Percentage of decision makers who don’t trust their analytics because they don't trust the underlying data.²

Maximize productivity with accurate, self-service data

Get full visibility into your data

Natively connect to important data sources, business applications, data science and BI tools to bring metadata into one central location. Leverage APIs for non-native integrations for a comprehensive view of data across the organization.

Bring trust to analytics

Implement an enterprise data catalog with embedded data governance, data quality and privacy. Build trust in data by documenting definitions and ownership, certifying data assets, surfacing quality metrics and capturing crowdsourced feedback.

Enable self-service data access and accelerate time to insights

Allow analysts and data consumers to search for data across multiple sources with a powerful, contextual search. Enable them to understand and evaluate the right data for their needs and gain access to it without depending on IT.

Manage risks by ensuring compliant data usage and access

Ensure that data access is granted in compliance with usage and privacy policies. Add appropriate approval processes for highly sensitive data.

The Collibra advantage

Enterprise data catalog

Provide visibility into all your data assets with full business context and enable users to easily discover, trust and use data.

Embedded data governance and privacy

Ensure users access only trusted, compliant data with embedded governance and privacy capabilities that allow you to standardize definitions, establish data ownership, manage policies and govern access to data.

Native, automated data lineage

Automatically map data lineage to see how data transforms and flows from system to system and source to report. Get visibility into summary-level business lineage as well as detailed technical lineage.

Granular security controls

Use role-based permissioning to control users' access to data assets. Deploy granular, asset-level security controls to ensure security, privacy and compliance.

Crowdsourced feedback

Enable users to rate and comment on any data asset and provide feedback that is visible to all users.

Active metadata graph

Build a graph that connects business, technical and privacy metadata with data quality and lineage information to provide rich content and context to all users.