Introducing Customizable Dashboards: Flexible Views for Every Team

Introducing Customizable Dashboards: Flexible Views for Every Team

Introducing Customizable Dashboards: Flexible Views for Every Team

Santiago Viquez

Santiago Viquez

Santiago Viquez

DevRel at Soda

DevRel at Soda

Table of Contents

Today we're releasing Customizable Dashboards in public beta, and we think you are going to like it.

Dashboards is one of our most requested features, and now you can build a health view around every dataset your team already maintains in Soda. Pick a metric, group it by any dataset or check attribute you use, and compose a board according to your needs.

Here is what is in it.

Soda Cloud Customizable Dashboards board showing data quality health score, coverage, and check outcome tiles

Slice your data quality results by your own attributes

You already tag datasets and checks in Soda. Data domain. Data product. Data quality dimension. Criticality. Owner.

Now you can visualize them without setting up additional tools.

Health score by data domain. Failed checks by data product. Coverage by criticality tier. Rows tested by data quality dimension.

Attributes live on datasets and on checks, and you can group by either one. A dataset attribute like data domain gives you health per domain. A check attribute like data quality dimension gives you which dimensions fail most.

Use Then by to put two of them in the same tile. Health by domain, split by data quality dimension.

Three default boards, ready on day one

Dashboards ship with three boards, each designed for what a different role cares about.

Executive overview. Designed to answer whether quality is improving, whether coverage is growing, and how much of your data has a contract.

Manager overview. Designed to show the state of your data quality program and where to push it next: check outcomes and anomalies over time, what's onboarded and what isn't, health per dataset.

Steward overview. Designed for what to fix today: which datasets have failing checks, how many rows passed and failed in each, where anomalies are firing.

Start from the one closest to your job and customize it until it shows what you care about.

The three default Soda dashboards: Executive overview, Manager overview, and Steward overview

Ten metrics you can plot

Every tile starts with a metric. These are the ten to pick from.

Metric
What it tells you
DQ Health Score
Share of checks passing
Coverage
Datasets under a check or a monitor
Checks
How many ran, and how they landed
Rows tested
How many rows those checks evaluated
Datasets
How many datasets Soda is watching
Data sources
How many sources are connected
Contracts
How many datasets have one
Monitors
Metric monitors in place
Anomalies
What those monitors flagged
Scans
How many runs happened

Three of them answer the question leadership actually asks. The Health Score says whether quality is improving, Coverage says whether the program is reaching more of your data, and Contracts says how much of it has an agreement behind it.

The other seven are for the people doing the data quality work: Checks and Rows tested for what ran, Monitors and Anomalies for what's watching and what it flagged, and Datasets, Data sources and Scans for the shape of your footprint.

Group any of them by data source, schema, dataset, check type, check source, outcome, monitor type, onboarding status, or by whether a dataset has a contract or a monitor. Or by any of your own dataset and check attributes: domain, data product, owner, data quality dimension, and the rest.

Four visualization types

Once you've picked a metric, pick how it looks. Each tile type is good at a different job.

Number

One figure, with its change against the previous period. Put your health score or your open anomaly count at the top of a board and read it in a second.

Number tile in Soda Dashboards showing a single data quality health score with its change against the previous period

Line

A metric over time. Set the range to the last 7, 30, or 90 days.

Add a breakdown and you get one line per group, so you can see which domains are improving and which are sliding.

Line tile in Soda Dashboards tracking a data quality metric over time, with one line per data domain

Bar

Compare groups against each other. Horizontal or vertical, grouped or stacked.

Stack by outcome to see passed, warned, and failed inside each bar. Sort worst first to put the problem at the top.

Bar tile in Soda Dashboards comparing check outcomes across groups, stacked by passed, warned, and failed

Donut

A share of a whole. Datasets with and without a contract. Checks by outcome. Rows that passed against rows that failed.

The preview updates as you pick, so you see the tile before you add it.

Donut tile in Soda Dashboards showing the share of datasets with and without a data contract

Customize the filters

Every board has a filter bar, and you decide what goes in it.

Add a filter for a data source, a dataset, or any of your attributes. Pick a value and every tile on the board updates at once.

Set up a board filtered to a single domain and hand it to the team that owns it.

Filter bar on a Soda dashboard, filtering every tile on the board by data source, dataset, or a custom attribute

Duplicate, edit, rearrange

Duplicate a whole view and change what you need instead of starting over.

Duplicate a single tile and swap one dimension. Rename a tile inline. Drag it somewhere else, resize it, or delete it.

Every board saves per view, so the layout you build is the one you come back to.

Build the board your leadership keeps asking for

Open Dashboards in Soda Cloud and build one view: the metric your leadership asks about most, grouped by the attribute your organization runs on. Share it with the team that owns those numbers and see where the conversation goes.

Customizable Dashboards is in public beta, so tell us what's missing. The metric you looked for and didn't find is the most useful thing you can send us.

Join Soda community in Slack or book a demo.

Trusted by the world’s leading enterprises

Real stories from companies using Soda to keep their data reliable, accurate, and ready for action.

At the end of the day, we don’t want to be in there managing the checks, updating the checks, adding the checks. We just want to go and observe what’s happening, and that’s what Soda is enabling right now.

Sid Srivastava

Director of Data Governance, Quality and MLOps

Investing in data quality is key for cross-functional teams to make accurate, complete decisions with fewer risks and greater returns, using initiatives such as product thinking, data governance, and self-service platforms.

Mario Konschake

Director of Product-Data Platform

Soda has integrated seamlessly into our technology stack and given us the confidence to find, analyze, implement, and resolve data issues through a simple self-serve capability.

Sutaraj Dutta

Data Engineering Manager

Our goal was to deliver high-quality datasets in near real-time, ensuring dashboards reflect live data as it flows in. But beyond solving technical challenges, we wanted to spark a cultural shift - empowering the entire organization to make decisions grounded in accurate, timely data.

Gu Xie

Head of Data Engineering

4.4 of 5

Your data has problems.
Now they fix themselves.

Automated data quality, remediation, and management.

One platform, agents that do the work, you approve.

Trusted by

Trusted by the world’s leading enterprises

Real stories from companies using Soda to keep their data reliable, accurate, and ready for action.

At the end of the day, we don’t want to be in there managing the checks, updating the checks, adding the checks. We just want to go and observe what’s happening, and that’s what Soda is enabling right now.

Sid Srivastava

Director of Data Governance, Quality and MLOps

Investing in data quality is key for cross-functional teams to make accurate, complete decisions with fewer risks and greater returns, using initiatives such as product thinking, data governance, and self-service platforms.

Mario Konschake

Director of Product-Data Platform

Soda has integrated seamlessly into our technology stack and given us the confidence to find, analyze, implement, and resolve data issues through a simple self-serve capability.

Sutaraj Dutta

Data Engineering Manager

Our goal was to deliver high-quality datasets in near real-time, ensuring dashboards reflect live data as it flows in. But beyond solving technical challenges, we wanted to spark a cultural shift - empowering the entire organization to make decisions grounded in accurate, timely data.

Gu Xie

Head of Data Engineering

4.4 of 5

Your data has problems.
Now they fix themselves.

Automated data quality, remediation, and management.

One platform, agents that do the work, you approve.

Trusted by

Trusted by the world’s leading enterprises

Real stories from companies using Soda to keep their data reliable, accurate, and ready for action.

At the end of the day, we don’t want to be in there managing the checks, updating the checks, adding the checks. We just want to go and observe what’s happening, and that’s what Soda is enabling right now.

Sid Srivastava

Director of Data Governance, Quality and MLOps

Investing in data quality is key for cross-functional teams to make accurate, complete decisions with fewer risks and greater returns, using initiatives such as product thinking, data governance, and self-service platforms.

Mario Konschake

Director of Product-Data Platform

Soda has integrated seamlessly into our technology stack and given us the confidence to find, analyze, implement, and resolve data issues through a simple self-serve capability.

Sutaraj Dutta

Data Engineering Manager

Our goal was to deliver high-quality datasets in near real-time, ensuring dashboards reflect live data as it flows in. But beyond solving technical challenges, we wanted to spark a cultural shift - empowering the entire organization to make decisions grounded in accurate, timely data.

Gu Xie

Head of Data Engineering

4.4 of 5

Your data has problems.
Now they fix themselves.

Automated data quality, remediation, and management.

One platform, agents that do the work, you approve.

Trusted by