Problems We Solve

Building it in-house costs more than you think, and the costs keep compounding

The appeal of building your own data stack is real — full control, custom logic, no vendor lock-in. The reality is that building and maintaining comparable capability in-house, at iGaming scale, is expensive in ways that do not stop.

What in-house actually costs

The total cost of ownership goes well beyond salaries. Here is what teams consistently underestimate:

Personnel

A data engineer, a data architect, a BI developer, a data scientist and an analytics engineer. Senior hires in a competitive market. Rarely available as part-time roles, which means full headcount cost even when the workload is uneven.

Infrastructure

Cloud bills that scale with query volume, not just headcount. Warehouse optimisation that requires dedicated engineering time. Backup, disaster recovery and infrastructure security that adds further overhead.

Licences

BI platform licences that multiply per user. ML infrastructure on top. Orchestration tooling. Monitoring and alerting tools. Data catalogue software. None of these is free.

Maintenance

Pipelines break at 3am. Schema migrations. Platform version upgrades. Data quality incidents. None of it is building the product — all of it is unavoidable.

The iGamingAnalytics alternative

We scope and deliver exactly the data capability your operation needs — without the overhead of building a permanent in-house team, the licence cost of an enterprise SaaS and the compounding cost of maintaining infrastructure your team was not set up to run. Engage us for a project, a retainer, or a specific capability gap. The cost is predictable, the delivery is documented and the output is owned by you permanently.

Tell us what you are trying to build or fix.

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