Build your perfect data quality view with Metaplane Dashboards

Data teams come in all shapes and sizes, but share one common challenge: getting an accurate view of their data quality.

It’s tricky because different data use cases require keeping an eye on different data quality metrics. Data engineers may want to track different parts of the pipeline separately, like ingestion, dbt job duration, downstream data from business-critical charts, or even Snowflake spend. Having a single source of truth for each project and each team is, well, difficult.

Today, we're introducing Metaplane Dashboards: customizable data views that help data engineers zero in on specific parts of their data stack while making it easy to share relevant views with their teammates.

Data quality views for every use case

Getting everyone on the same page about data quality isn't about tools—it's about people. Through conversations with customers, we've learned teams need:

• A place for each team member to track what matters to them, so they can stay focused on their key metrics (i.e. keep a pulse on a key data migration project while also keeping track of SLAs).
• A single source of truth that you can share, making data quality discussions productive rather than frustrating.
• Ways to make data quality metrics accessible to everyone, from seasoned data engineers to new analytics engineers, so the whole team can contribute to keeping your data reliable.

Features that make data quality crystal clear

With Dashboards, you can create a curated view of the data quality metrics you care about—grouping them by area of expertise, by stakeholder, or by data quality metrics like spend, downtime or performance. 

You can even share your dashboards, helping you give every stakeholder the data quality view they need (and hopefully reducing the number of Slack messages asking “is this data correct?”).

A view for every concern

Create views that let everyone on your team—from engineers to analysts to scientists to business stakeholders—monitor what matters most to them.

Data team leads can create views to monitor incidents opened and closed over time or time to resolution, helping them keep tabs on their team’s performance.

Data engineers can create views that monitor whether data is moving from their sources to their data warehouse on time and if it’s complete. They can also make a separate view that monitors spend and performance-related metrics across the data platform to stay ahead of budget concerns.

Analytics engineers can set up views for tables they know live upstream of their BI tool, so they can always keep a close eye on the data feeding their dashboards.

Marketing analytics teams can create views to monitor the health of data coming from upstream tools like Google Analytics and paid advertising channels, so they know their cost and performance data is always accurate.

Since viewer seats are free in Metaplane, you can share your dashboards with any of your external stakeholders to give them a real-time view of their data quality.

Mission control for data quality

Build collections for each use case by tracking specific tables, monitors, or custom tags. If you want to keep an eye on revenue-related data quality, for example, you can create a tag for `Revenue`, and everything you need to monitor will be gathered in that collection. 

Or, if you need to monitor Snowflake spend per project, you can create a view that automatically updates as your data environment grows.

Connect the dots (and tables, and jobs...)

Get a better overall view of how your data stack works together and what’s affected when there’s an incident. Think of it as GPS for your data's journey—minus the "recalculating" every five seconds. 

Use Dashboards to:

• Monitor statuses across your data stack, giving you instant visibility into your data health
• Track incident trends and resolution times
• Understand how issues cascade through your data pipelines
• Check dbt job performance and test results to identify issues or bottlenecks
• Keep warehouse costs in check
• Spot trends in data usage and adoption

Share the wealth (of knowledge)

Spread data quality insights with built-in collaboration features. Share views via links, assign them to teams, or duplicate and customize existing ones. Add descriptions to document why a particular metric matters so new team members instantly know why something is being monitored.

Get your team on the same page

Try it now: visit app.metaplane.dev/dashboards to create your first team view.

Need help getting started? Check out our docs to learn the ropes and get your team seeing eye to eye on data quality.