"The dashboard looks broken!": How should data teams respond to incidents?

Data teams are increasingly adopting software engineering practices and tools to improve their processes. While there are many tools for identifying errors in data pipelines, there is a lack of solutions for responding to these errors. Implementing an incident management platform can help data teams establish better processes for handling data errors and become more efficient. Automated tests and observability tools like dbt and synq can catch problems earlier, but communication and collaboration during the resolution process often rely on messaging tools like Slack or Teams. Using dedicated channels for each data incident, providing easy access to updates, assigning clear actions and owners, and tracking data incidents can help improve incident management for data teams.