Data Solutions
Data Quality & Governance
Tests, ownership and lineage for the data you report on
The most damaging data problems do not crash anything. A renamed column or a partial load quietly produces wrong numbers for weeks. We put tests, ownership and lineage around the data you report on, so problems are caught early and anyone can see where a number came from.
- Data quality tests
- Freshness monitoring
- Data lineage
- Ownership and stewardship
- Data catalog
- Privacy and access policies
Why it matters
Trust in data is built one checked table at a time. Test what matters, give every dataset an owner, and make lineage visible.
What this includes
Six parts of the work. Which of them you need depends on where you are starting from, and we agree that before anything is built.
- 01
Data quality tests
Checks for nulls, duplicates, ranges and relationships, running with every pipeline load.
- 02
Freshness monitoring
Alerts when data has not arrived on time, before a stale dashboard is taken as current.
- 03
Data lineage
A map from source to report, so the impact of a change is known before it is made.
- 04
Ownership and stewardship
A named owner for each important dataset, with clear responsibilities.
- 05
Data catalog
Searchable descriptions of datasets and metrics that people can actually find.
- 06
Privacy and access policies
Classification of sensitive data and controls that match your obligations.
Not sure which of these you need?
Tell us where things stand for you today and we will suggest where to start.
How we deliver it
Four stages, agreed with you before the work starts, with a working result at the end of each rather than one reveal at the end.
Find what matters
We identify the datasets and reports decisions depend on most.
Add checks
Tests and freshness monitors are added to those datasets first.
Assign ownership
We agree on owners and document each dataset's purpose and rules.
Make it routine
Checks run automatically, issues are tracked, and the approach extends to new data.
The stack
Technologies we work with
The tools we reach for most often in this work. We fit in with what you already run rather than asking you to change it.
3 groups
- 01 / 033
Testing
- dbt tests
- Great Expectations
- Soda
- 02 / 033
Catalog and lineage
- Microsoft Purview
- DataHub
- OpenLineage
- 03 / 033
Platforms
- Snowflake
- Azure Synapse
- Apache Airflow
What you receive
Yours to keep when the engagement ends, whether we carry on working together or not.
Automated data tests
Checks on your critical datasets, running with every load.
Freshness alerts
Notifications that go to the dataset's owner when data is late.
A data catalog
Descriptions, owners and lineage for your important datasets.
A governance playbook
How issues are reported, owned and resolved in your organization.
Common questions
The ones that come up in almost every first conversation about this work.
With the handful of datasets behind your most important reports. Testing those first gives the biggest improvement in trust for the least effort.
It should not be. We focus on automated checks, clear ownership and lineage people actually use, not documents nobody reads.
Tests add little run time and are placed where they catch problems early, which saves far more time than they cost.
Let's talk about Data Quality & Governance
A short call is usually enough to work out whether we can help and where it makes sense to start. No preparation needed.