# The Next Big Crisis for Data Teams

DevFeed: [The Next Big Crisis for Data Teams](<https://devfeed.tech/articles/the-next-big-crisis-for-data-teams-83139.md>)

Original publisher: [Read original article](<https://montecarlo.ai/blog-the-next-big-crisis-for-data-teams>)

Author: Barr Moses

Published: 2023-04-21T16:46:40Z

Content type: article

Language: en

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

Topics: [data observability](<https://devfeed.tech/topics/data-observability.md>), [data-engineering](<https://devfeed.tech/topics/data-engineering.md>), [semantic-layer](<https://devfeed.tech/topics/semantic-layer.md>), [engineering-leadership](<https://devfeed.tech/topics/engineering-leadership.md>), [Data pipelines](<https://devfeed.tech/topics/data-pipelines.md>), [Data Quality](<https://devfeed.tech/topics/data-quality.md>)

Tags: [analytics](<https://devfeed.tech/tags/analytics.md>), [analytics-engineering](<https://devfeed.tech/tags/analytics-engineering.md>), [broken-data-pipelines](<https://devfeed.tech/tags/broken-data-pipelines.md>), [data-platforms](<https://devfeed.tech/tags/data-platforms.md>), [data-teams](<https://devfeed.tech/tags/data-teams.md>), [teams](<https://devfeed.tech/tags/teams.md>)

## AI overview

The article argues that data teams must connect their work more closely to business needs to justify spending and deliver useful, reliable data products. It recommends talking directly with stakeholders, building asynchronous feedback loops, embedding data practitioners with business teams, tracking product adoption, creating a shared semantic layer, and prioritizing focused improvements with measurable value.

## Source excerpt

Data teams are more important than ever before - but they need to get closer to the business. Here's how we can right the ship.