Data catalog solutions have been growing in popularity among organizations engaging in analytics. After all, these crucial resources are more than just data repositories and include robust features to help users interact with and leverage informational assets in innovative and powerful ways.

According to research from Statistics MRC, the global data catalog market will experience a more than 25 percent compound annual growth rate through 2026, expanding from its $200 million value in 2017 to soon surpass $1.59 billion. With this impressive market expansion, it’s no wonder why Gartner dubbed data catalogs as “the new black” in data management and analytics.

Enabling collaboration with key data sets

A main advantage of using a data catalog is the fact that this asset makes data more accessible to users and provides an array of functionality that enables individuals to deeply collaborate with one another on analytics initiatives.

Data catalogs provide an array of useful benefits for enterprise brands.Unifi’s self-service data offerings provide an array of useful benefits for businesses.

In this way, a data catalog is much more than the name implies. Assets are crawled and automatically classified within a solution like Unifi’s robust data catalog, making them available for analysis and data visualizations that can be leveraged for key decision-making.

In addition, an industry-leading solution like that offered by Unifi also provides key collaboration features that help support collective intelligence among users, including:

  1. The ability to tag other users within specific projects: You can ensure nothing falls through the cracks and other stakeholders are always in the loop about key data analytics projects. Using this tagging capability, users can elicit feedback or input from their colleagues, and initiatives can benefit from the community’s point of view. In addition, an industry-leading solution like that offered by Unifi also provides key collaboration features that help support collective intelligence among users, including:
  2. Support for sharing certain objects within a project: With this advanced feature, users can call others’ attention to objects like data sources, visualizations and other important factors directly from the catalog’s interface. Collaboration has never been more streamlined or easily viewable.
  3. The ability to have conversations within a single platform: This is akin to real-time chat portals that users are already familiar with, but takes place via integrated discussions right within the catalog. With this essential feature, users can connect, collaborate and converse with one another using a single window, and can avoid having to switch between panes or applications in order to discuss data assets, sources, visualizations and more.
  4. Crowd-sourced quality ratings for data assets: This key capability is a game-changer. Users are able to provide quality ratings and descriptions about specific data assets and data sets. In this way, the next user to leverage that asset or data set has more detail about its overall quality and how to best use it within their initiative.

Collaboration is key when engaging in analytics, and having a robust data catalog that supports interactions on this level is a considerable advantage.