The Lab.

Our bot automate pattern  automates the monitoring the catalog metadata conditions and triggers steward notifications.  They streamline and scale policy enforcement.

We created a simple pattern for loading catalog assets such as policies, terms, domains, and more from csv files.

We have developed a pattern for updating catalog assets with SurveyMokey form input.  This includes the collection of GDRP required Record of Processing Activities (ROPA).

We have a pattern for aggregating catalog health status and track information and dynamically updating rich text fields on articles or data assets pages.

Standard industry glossary, metrics, and best practice content that can be loaded directly into the catalog so customers do not have to start from scratch.

We have developed a pattern for triggering ServiceNow workflows dynamically from Alation conditions and updating conversations with the status of the workflow.

We are experimenting with auto creating home pages for specific catalog roles to show a consumer-oriented data product home page.

We are experimenting with the use of metadata characteristics and statistics to automatically identify critical data elements.

We are experimenting with using Chat GPT integration to auto describe data assets.  The results are promising so far and it has the potential to dramatically reduce manual effort.

We have developed a pattern for triggering Jira workflows dynamically from Alation conditions and updating conversations with the status of the workflow.

We are experimenting with the creation of browser extensions that automatically identify cataloged glossary terms and data assets.