Data Team Modernisation
Your company has grown. Your data team should too.
We review how your data team works, rebuild the platform and processes with them, and stay until the new habits stick. The team ends up spending its time on analysis that moves the business.
Book a free discovery call Teams we have built data for
Snap FinanceEmbrokerCigna HKENT Credit UnionEnclave
The problem
01
Too much maintenance
Most of the week goes on broken pipelines and one-off requests, so planned work never starts.
02
Conflicting numbers
Finance, product and marketing each report a different revenue figure, and meetings turn into reconciliation.
03
BI that nobody can use
Every question becomes a ticket, so people build their own spreadsheets instead.
A data team the business relies on
People, process and platform together
We find the root causes, whether they sit in architecture, ownership, skills or process. We fix them in priority order and coach the team through the change.
What you get
- A clear report on where the team’s time goes
- A platform and process built for self-serve
- A named owner for every core metric
- Faster delivery with less rework
- Fewer shadow spreadsheets
What we deliver
What the engagement includes
Each engagement has a fixed list of deliverables, agreed before work starts.
Team diagnostic
Interviews, workload analysis and a stack review, summarised in a short report.
Operating model
Roles, ownership, intake process and delivery rituals sized for your team.
Platform changes
The technical work that makes self-serve possible: modelling, a semantic layer, tests and CI.
Coaching
Pairing and training until the new process is how the team works day to day.
Our method
How the work runs
01
Diagnose
Find the root causes.
02
Rebuild
Update the platform and ways of working together.
03
Embed
Make sure adoption and ownership last.
Tools we work with
dbtLookerCubeSnowflakeBigQueryDagsterGitHub Actions
Is this for you?
This works best if
- You lead a data team of 2 to 20 people
- The backlog grows faster than the team can clear it
- Leadership is asking what the data spend returns
Is this a report or hands-on work?
Hands-on. The diagnostic takes a few weeks. After that we work in your repositories and meetings alongside your team.
How we work
How an engagement starts
The work runs in three steps. You see working output within weeks and can stop after any stage.
01
Discovery call
A 30 minute call with the engineer who would do the work. We look at your setup, tell you what we would fix first, and whether you need us for it.
Day 1 02
Blueprint sprint
We map your sources, stakeholders and goals, then give you an architecture and a prioritised roadmap. You keep it whether or not we do the build.
2 to 4 weeks 03
Build in sprints
We ship working tracking, models, dashboards and agents every two weeks. You can stop after any sprint, and everything built stays yours.
Every 2 weeksWhat happens on the call
Book your call- 30 minutes with the engineer who would do the work
- No slides or sales pitch
- A clear answer on whether we can help, and a referral if we can’t
- The first fix we would make, which you can use either way
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