The platform keeps breaking
- Legacy infrastructure
- Failing pipelines
- Performance issues
What we do: A managed service with fix-on-fail support and agreed response times.
Data analytics & engineering consultancy
Your data platform, kept running. And moving forward.
Managed support, development retainers and senior data expertise for businesses that already have a data platform and need it to be reliable, trusted and fast.
Sounds familiar?
We've seen this before. A lot.
The problems we're asked to fix usually fall into one of four patterns.
Nobody trusts the numbers
- No single source of truth
- Disjointed reporting
- Several versions of the same number
What we do: Governed metrics, served from one semantic layer.
Knowledge sits with one person
- Know-how leaves when people do
- No cover for holidays or sickness
- Hard to hire the right skills
What we do: An outsourced or blended team, with cover built in.
Too manual, too slow
- Not moving at the speed the business expects
- Manual processes
- No AI adoption
What we do: Retainer capacity, automation and an AI-ready platform.
How we can help
Three ways to work with us, starting with a managed service.
Managed services
Your platform, looked after every month
Ongoing support, monitoring and development for cloud data platforms and BI, including Microsoft Fabric, Power BI semantic models, dbt and cloud warehouses.
Fix-on-fail support
Agreed response times, your own senior engineer, weekly catch-ups and a month-end summary.
Development retainer
Senior capacity reserved each month. Unused hours roll over into a bank.
Flex hours
Extra hours bought in advance, drawn on only in busy months.
Projects
Migrations and platform builds
Warehouse, cloud and BI migrations, platform builds, and governed metrics with a semantic layer.
See projectsExpertise & People
Senior people, picked and managed by us
Lead or architect roles, analytics engineers placed with your team, or fully outsourced analytics.
See expertise and peopleWhy teams choose us
Senior capacity without the hiring cycle.
How a managed service compares with building the same team in-house.
| Aspect | In-house team | Gosai Data Services |
|---|---|---|
| Cost | In-house: Fixed headcount, plus hiring and management cost | GDS: A predictable monthly run-rate, flexible on top |
| Seniority | In-house: Unknown, and often needs upskilling | GDS: Lead expertise in architecture, engineering and BI |
| Flexibility | In-house: Underused outside peaks, with a risk of churn | GDS: Stable support plus flex capacity for peaks |
| Continuity | In-house: Progress relies on one person | GDS: A team with structured cover |
| Speed | In-house: 3–9 months to hire and onboard | GDS: Immediate |
Experience
Experience our team has delivered.
Case study · Hospitality
Building an analytics function from scratch on Databricks and Power BI
The platform keeps breaking
The business had no internal reporting. We designed and built its whole analytics layer, from dimensional models on a new Databricks warehouse to self-service Power BI reporting, then set the architecture, modelling standards, governance and roadmap to take it forward.
Results
- From no internal reporting to a full analytics layer
- Reporting on revenue, sales, marketing and website performance
- Self-service reporting for business users
- Data architecture, modelling standards and governance in place
StackDatabricks · Power BI · DAX · SQL
“What they helped us design and build in such a short space of time was phenomenal: a logical approach and a thorough eye for detail.”
Latest insights
Notes from the work.
Managed data service vs hiring an in-house team: the real trade-offs
Hiring your own data team and buying a managed service both work. They fail in different ways. Here’s how they compare on cost, seniority, flexibility, continuity and speed, and when each one is the right call.
One metric, four definitions: how to end the “whose number is right?” meeting
When Finance, Commercial, Operations and Product each report a different version of the same number, the problem isn’t the data. It’s the definition. Here’s how to settle it once.
Next step
Book a discovery call
A short call to talk through your platform, your team and what is getting in the way.