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SERVICE
Analytics-as-a-Service
An on-tap analytics team, sized to your roadmap.
Capability without the hiring risk
Hiring a full analytics function is slow, expensive and high risk, especially outside the major tech hubs. Idiro Analytics-as-a-Service gives you the blended capability of data engineers, scientists, analysts and a delivery lead, sized to your roadmap and flexed as priorities change.
You get predictable monthly cost, SLAs against business outcomes, and zero recruitment headaches. We carry the team continuity risk so you do not have to.
Where this engagement helps
The patterns we see most often in clients who reach out about analytics-as-a-service.
Hiring lag
Months to fill senior data roles, with attrition undoing progress every year.
Skill gaps
Hard to justify a full-time specialist in MLOps, Fabric or causal inference, even when you need them quarterly.
Demand volatility
Peaks around regulatory deadlines and product launches that no fixed team can absorb.
How it works
A structured engagement led by senior consultants, sized to your scope.
Pod design
A dedicated pod with the mix of skills your roadmap needs, led by a senior delivery owner.
SLA-backed delivery
Service levels tied to business outcomes, not ticket counts.
Quarterly business reviews
Roadmap, value realised and capacity reshaped every quarter as priorities change.
Knowledge retention
Documentation, code and runbooks owned by you so you are never locked in.
Outcomes you can expect
Measurable change, not just a deliverable.
- Productive analytics capacity within weeks, not quarters
- Predictable cost and clear value reporting to the CFO
- A team that flexes up for peaks and down for lulls
What’s included
- Dedicated pod model
- SLA-backed delivery
- Roadmap & backlog management
- Quarterly business reviews
- Flexible scale up and down
Related case studies
Common questions
A senior analytics team on subscription. You get an agreed number of days each month, a named lead and a shared backlog, without going through a hiring round.
You get a team rather than a person: data engineering, modelling and visualisation, with holiday cover and no recruitment lag.
In scope: data preparation, analysis, models, dashboards and readouts. Out of scope: running your production systems or long-term application support, unless agreed separately.
Monthly planning with a weekly stand-up. Priorities move between sprints as the business changes.
On a committed number of days per month. Tell us the volume you have in mind and we will quote against it.
Yes. Most engagements extend an in-house team rather than replace one.
Talk to one of our consultants
A 30-minute call is usually enough to know if analytics-as-a-service is the right next step, and to scope it accurately if it is.