Capabilities

Active Data Catalog

Immuta’s active data catalog is built on a strong security foundation with always-on governance and access control. Now you can provision democratized, self-service user access to any data – even the most sensitive – while eliminating cumbersome approval workflows.

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Streamlined Data Request Workflows

Immuta’s active data catalog brings data operations and data consumers together, removing traditional barriers to data access and shrinking time to data from weeks or months to seconds. Self-service workflows enable data consumers to request access to data sources, acknowledge approved usage purposes, request access control changes, and propose new data collaboration projects.

Secure Data Collaboration

Immuta’s data catalog features an integrated project management toolset, which lets data consumers initiate new data projects and work together in safe collaboration zones. Immuta’s patented approach using projects automatically equalizes access rights for all members, who can safely publish derived datasets back to the catalog. Immuta automatically applies appropriate policies to all published data to ensure continued protection.

Operationalize Existing Catalogs

While Immuta often serves as the default catalog for data scientists and advanced analytics teams, many customers want to leverage investments in existing discovery and cataloging tools. With its extensible policy builder, Immuta can integrate with and federate external metadata from other data classification and catalog tools to improve search and exploration and create richer policies based on existing ontologies or schemas.

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Frequently Asked Questions

  • What is an enterprise data catalog?

    An enterprise data catalog is an organized inventory of data assets that enables data consumers to locate, access and evaluate data in a centralized location for analytical and business uses. Data catalogs leverage metadata to allow data consumers to quickly search an organization’s entire data landscape, understand the data available to them and operationalize that data for insight-driving analyses.
  • Why do companies need a data catalog?

    Research shows business leaders spend 70% of their time finding data, but just 30% utilizing it.

    As more data becomes available by the second, businesses are increasingly using data analytics to drive strategic insights and gain a competitive edge. Data catalog tools help data teams organize data and derive real time insights, which in turn inform business decisions. The result is more efficient and effective corporate spending that retrieves a higher ROI.

    In addition to improvements in efficiency, collaboration, data security and general management, organizations drove higher profits, revenue and customer satisfaction when they implemented a data catalog and management system.

  • What are the benefits of a data catalog?

    By organizing data from multiple sources into a searchable, centralized platform, data catalogs enable data teams and data consumers to locate, understand and utilize data more quickly and efficiently.

    A few key benefits of data catalogs include: searchability, so data users can locate the right data faster and more easily; connectivity, so data teams can integrate with other platforms to produce analytics for BI tools; unified management, so data teams can access data and set policies in a centralized location; and protection, so data consumers can access data compliantly and securely based on their specific needs and permissions.

  • Key things to look for in an enterprise data catalog?

    When looking for the right data catalog, it’s important to consider: data access governance that allows data teams to write policies and apply access controls at scale; search and discovery functionality that makes data easy to locate, tag and filter; metadata curation that can extract information from various sources; automated intelligence that reduces or eliminates manual data processing; and synergistic platform that allows both technical and non-technical users to utilize data collaboratively on the same platform.