# How the GitLab Data Team Builds a Culture of Radical Transparency

DevFeed: [How the GitLab Data Team Builds a Culture of Radical Transparency](<https://devfeed.tech/articles/how-the-gitlab-data-team-builds-a-culture-of-radical-transparency-83053.md>)

Original publisher: [Read original article](<https://montecarlo.ai/blog-how-the-gitlab-data-team-builds-a-culture-of-radical-transparency>)

Author: Angeline Junaedy

Published: 2022-12-08T02:34:43Z

Content type: article

Language: en

Sources: [Monte Carlo](<https://devfeed.tech/sources/monte-carlo.md>)

Topics: [engineering-culture](<https://devfeed.tech/topics/engineering-culture.md>), [Data Quality](<https://devfeed.tech/topics/data-quality.md>), [DataOps](<https://devfeed.tech/topics/dataops.md>), [GitLab](<https://devfeed.tech/topics/gitlab.md>), [Grafana](<https://devfeed.tech/topics/grafana.md>)

Tags: [alerting](<https://devfeed.tech/tags/alerting.md>), [analytics](<https://devfeed.tech/tags/analytics.md>), [analytics-engineering](<https://devfeed.tech/tags/analytics-engineering.md>), [build-vs-buy](<https://devfeed.tech/tags/build-vs-buy.md>), [builds](<https://devfeed.tech/tags/builds.md>), [business](<https://devfeed.tech/tags/business.md>), [case-studies](<https://devfeed.tech/tags/case-studies.md>), [collaboration](<https://devfeed.tech/tags/collaboration.md>), [data-platforms](<https://devfeed.tech/tags/data-platforms.md>), [data-platforms-case-studies](<https://devfeed.tech/tags/data-platforms-case-studies.md>), [it](<https://devfeed.tech/tags/it.md>), [radical-transparency](<https://devfeed.tech/tags/radical-transparency.md>), [team](<https://devfeed.tech/tags/team.md>)

## AI overview

GitLab's data team describes how it uses radical transparency to share work, align stakeholders and build trust in its data platform. The article covers the team's structure and data stack, its capability model and build-or-buy decisions, and its adoption of automated observability to monitor data reliability.

## Source excerpt

How does GitLab build a culture of radical transparency? It starts - and ends - with reliable data.