Data Governance With Dataiku

Extend and operationalize your existing data governance strategies by empowering people to correct, centralize, and share data in the course of their day-to-day work and across the data and AI project lifecycle with Dataiku.

Centralize & Share Curated Datasets

Dataiku provides a centralized data catalog where trusted data is ready and available for use by as many people as possible for reliable insights across the organization.

Browse through data collections — a manually curated list of relevant datasets — as well as popular datasets, which are the most frequently used datasets at your organization. Those with relevant permissions (e.g., data stewards) can also see lists of projects in which certain datasets are used as well as when datasets were created, modified, or last built.

centralized and shared curated datasets Dataiku

fine-grained permissions in Dataiku screenshot

Control Access With Fine-Grained Permissions

Permissions in Dataiku operate at the user, connection, project, compute, and global levels to ensure proper authorization for the use of all data assets.

User groups in Dataiku can be granted multiple levels of access (e.g., read, write, admin, access dashboards, share content, download, deploy models or bundles). Users can belong to more than one group and have different permissions across projects.

Read the Documentation on Permissions

Address Data Quality on the Spot

With data quality features in Dataiku, have confidence that your insights are built on a solid foundation. Track, verify, and fix data quality so that you can deliver powerful (and trusted) insights.

Dataiku allows you to build data quality into deployed pipelines. See data quality status and even compute data quality rules directly from the project Flow.

Explore Data Quality Features in Dataiku

Bankers’ Bank leverages Dataiku to increase efficiency and ensure data quality across an array of financial analytics, ultimately reducing the time to prepare analyses and deploy insights by 87%.

Read the Bankers' Bank Story

Through Dataiku, our mutual customer was able to leverage data quality features to save 300 hours per month.

Ben Gardner-Moss

Principal Analytics Consultant at Aimpoint Digital

root cause analysis with data lineage in Dataiku

Conduct Root Cause Analysis With Data Lineage

Go beyond simply identifying data quality issues to troubleshooting and fixing root cause with Dataiku.

Data lineage is accessible from many locations within Dataiku — from the prepare recipe to the data catalog and more — allowing users to easily trace lineage between columns across all projects.

Learn More About Data Lineage in Dataiku

Connect to Enterprise Data Governance Tools

Dataiku is designed to integrate with your larger data governance software or tech stack so that you can benefit from Dataiku’s unified analytics and AI platform capabilities — from data preparation to model deployment — without disrupting your current strategy.

For example, you can easily connect to metadata management and popular enterprise cataloging tools such as Alation or Collibra.

See How Royal Bank of Canada Uses Dataiku + Collibra

From Data to AI Governance

Pure data governance is becoming increasingly hard to untangle from the world of AI governance. Understanding and implementing both governance frameworks is essential for organizations to maintain trust and compliance as they scale AI and data initiatives, especially in the age of generative AI.

Dataiku, the Universal AI Platform, supports larger AI governance initiatives as well as data governance strategies for accelerated AI journeys.

Learn More About Dataiku AI Governance Features

Go Further on Data Governance

Check Out the Dataiku Data Catalog

Read the Documentation on Govern Security Rules and Permissions

Learn More About Metrics, Checks, and Data Quality in Dataiku

Discover Data Lineage With Dataiku

Contact Us

Interested in learning more about data governance or other AI governance capabilities of Dataiku? Let's talk.