Data systems,built aroundyour work.
We design, improve, and maintain the platforms, pipelines, models, and analytics your teams rely on.
The work follows the decisions you need to make, the systems you have, and the people who will maintain what comes next. We work with companies, scientific labs, and AI research teams.
● ● ●operations / work_item_cycle
Worksheet / raw.events01
select item_id, started_at, completed_at
from operations.work_items
where completed_at is not null;Query complete5 rows
| item_id | started_at | completed_at |
|---|---|---|
| W-101 | 09:00 | 09:12 |
| W-102 | 09:05 | 09:23 |
| W-103 | 09:10 | 09:25 |
| W-104 | 09:15 | 09:36 |
| W-105 | 09:20 | 09:29 |
Oct 26, 2026 · UTC● Source retained
dbtmodels / work_item_cycle.sql
01
02
03
04
05
02
03
04
05
select item_id,
datediff('minute',
started_at, completed_at
) as duration_minutes
from {{ ref('stg_work_items') }}✓Unique item keysPASS
✓Valid durationsPASS
✓Source reconciliation5 / 5
One row / completed work item● Checks complete
Operations / Completed workOct 26 ▾Completed5work items
Mean duration15 min75 minutes / 5 items
Longest item21 minW-104
↗
Look closer at W-104.
Trace its 21 minutes back to the source events.
Completed items only · UTC● Definition linked
One definition. Every view.Source → model → report
Start with the decision.
Agree the work.
We bring the relevant teams into discovery, clarify definitions, and work through the constraints. If a smaller repair serves the organization better than a rebuild, we recommend it.
How we approach the work ↗What does your data need to do next?
Tell us what is changing, where the current system gets in the way, and what your team needs to decide.