High In-House Costs
The cost of an analytics stack continues long after the first dashboard is delivered.
Compare the engineering, infrastructure, governance and support needed to run your own stack with Gamblitude's managed data, BI and AI platform. Keep the comparison practical: the same scope, the same planning period and a clear owner for every responsibility.
Where the pressure appears
In-house analytics can be the right choice for an organisation with the capability and commitment to run it. The question is whether the work required matches the value you want your specialists to create.
Engineering capacity
Source changes, failed loads and reporting requests compete with new analysis. The visible backlog understates the work when specialists also spend time coordinating fixes and explaining definitions.
Fragmented budgeting
Cloud, licences, contractors and internal effort may appear in different budgets. Comparing a platform subscription with the BI licence alone leaves much of the operating responsibility out.
Knowledge dependency
Important logic can live in queries, spreadsheets or one person's memory. Onboarding a new analyst or handing over a reporting workflow then becomes another delivery project.
Compare like for like
Use the same planning period and scope for each option. Include implementation, recurring services, internal delivery effort and expected change work. Separate committed cash costs from capacity you could redirect to other priorities.
| Responsibility | In-house stack | Gamblitude approach |
|---|---|---|
| Data foundation | Budget infrastructure, orchestration and the people who operate the analytical environment. | A dedicated managed data warehouse forms part of the platform subscription. |
| Initial integration | Allocate access coordination, pipeline development, mapping and initial validation. | Onboarding, integration and initial model alignment are covered by a separately agreed setup fee. |
| Business definitions | Maintain calculation logic, review rules and consistency across reporting surfaces. | Metrics and Attributes provide a shared analytical foundation; your business owners agree the meaning and validate the results. |
| BI and user access | Include relevant licensing, administration, dashboard development and user support. | The subscription includes the BI tools with unlimited users, Dashboards, Reports, Metrics and Insight Radar tasks. |
| AI analysis | Include the tools, governed data access and ongoing work required for your chosen AI workflows. | AI Agent, Insight Radar and Autonomous Agent are included. Autonomous Agent is available to every BI user at no extra charge. |
| Predictive use cases | Scope data preparation, model development, evaluation and operational delivery for each use case. | Predictive Models are individually scoped and quoted separately, with platform or standalone delivery. |
| Continuing change | Plan capacity for new sources, definitions, products and stakeholder questions. | Ongoing support covers data structure, KPI governance and platform use. Agree the scope of new integration or development needs. |
A responsibility comparison, not a salary benchmark or savings forecast. Your existing commitments, delivery capability and required scope determine the business case.
A managed foundation
Gamblitude brings the warehouse, iGaming data model, BI tools and AI workflows together. Shared Metrics and Attributes give different analytical routes a common meaning, while visual tools help users explore familiar business questions.
Your team still owns source-system access, business priorities, data interpretation and operational decisions. It also supplies the domain knowledge needed to validate a Metric or explain an unusual transaction. That collaboration is part of a successful implementation, not work to hide outside the comparison.
Freshness depends on the connected systems and agreed ingestion schedule. A managed analytical platform does not remove the need to resolve an upstream data-quality issue with its owner.
Illustrative evaluation scenarios
Use these scenarios to organise a comparison. They describe decisions an operator might face, rather than guaranteed savings or customer outcomes.
01 · A lean operator
An operator needs dependable payment, casino and acquisition reporting but has limited specialist capacity. List the recurring work first: source access, loading, modelling, reporting and support. Then identify what the proposed hire would own and what would still require another supplier or internal team.
The relevant benefit may be a different allocation of capacity. Avoid treating every hour of internal effort as an immediate cash saving.
02 · A multi-brand group
A group has separate reporting arrangements across brands. Inventory shared infrastructure and logic before assuming every local view should disappear. Some differences reflect legitimate product, market or reporting requirements; others reflect repeated implementation of the same definition.
Include migration and parallel validation in the plan. Existing contracts and workloads may remain during transition, even where the long-term operating model becomes simpler.
03 · An established data team
A mature team already operates a warehouse and delivers valuable analytical work. Compare the recurring work it wants to retain with the work that prevents progress on higher-priority questions. A managed foundation may support that team, while an entirely internal approach may still suit some requirements.
Predictive Models can be delivered standalone with integration agreed for the project. A model requirement does not automatically imply a platform migration.
The commercial starting point
Gamblitude starts from €3,000 per month, with a one-time setup fee in addition. Choose pricing based on Monthly Active Players or agree a fixed monthly subscription. Exact scope and rates are set out in the proposal.
Predictive Models are quoted individually. AI Agent, Insight Radar and Autonomous Agent are included in the BI subscription. Reports support analytical documents on demand or on a schedule; Insight Radar handles user-defined recurring checks, while Autonomous Agent initiates its own investigations.
See the pricing structureCommon questions
Include implementation, infrastructure, licences, internal delivery, maintenance, governance and user support over the same planning period. Add transition and change work where relevant. Compare equivalent scope and distinguish cash savings from time that could be redirected.
Not necessarily. Your team retains business definitions, source relationships, validation and decision ownership. A managed foundation can change the technical work it needs to maintain and create room for specialist analysis. The appropriate team structure depends on your operation.
The subscription starts from €3,000 per month and includes the managed warehouse, BI platform and AI capabilities, including Autonomous Agent for every BI user. A one-time setup fee is additional. Predictive Models are separately scoped and quoted.
Your business owners define and approve the calculation rules, relevant dimensions and reporting periods. Metrics and Attributes provide a common foundation across analytical tools. Agree validation, access permissions and ownership as part of the implementation.
Yes. Predictive Models can be scoped as standalone implementations using your existing data and tools. Delivery, integration and evaluation are agreed for the selected use case; a Gamblitude platform subscription is not required.
Compare the work behind the numbers
We will discuss the foundation you need, what your team should retain and how the commercial scope fits together.