Data Management Platform · for gaming operators

A data platform for casino, sportsbook and online gaming operators

Your teams answer GGR, churn and regulator questions from one warehouse with full audit trails. It joins your gaming platform, CRM, affiliate, marketing and web tracking data, with Power BI reports and player models on top.

The platform at a glance

Sources

Gaming platform, CRM, affiliate software, web tracking and marketing channels

Platform

Microsoft Azure, or Databricks, Microsoft Fabric, Snowflake or BigQuery if you already run one

Security

Built to ISO 27001 requirements: network isolation, audit trails and data residency

Teams

Marketing, operations, customer service, responsible gaming and compliance

At a European online gaming operator that runs its reporting on the platform we built

200%+growth in the operator's business over three years
30source systems in one warehouse, with one set of KPI definitions
100+Power BI reports in place of manual exports
5teams on the same numbers: operations, customer service, marketing, responsible gaming and compliance
Who it serves

Who uses the platform, and for what

WhoWhat they answer from the platformWhat runs on it
Online casinos and sportsbooks

Which players become VIPs, who is about to churn, which games and promotions pay back, and what the responsible gaming report says this week.

Churn and segmentation models, promotion ROI, responsible gaming reporting

Land-based casinos

What drives revenue by venue and table, how events and seasons change footfall, and how play crosses between the floor and online.

GGR by table, staffing by footfall, omnichannel reporting

Affiliate and marketing teams

Which channels and partners bring players who stay, and what each campaign returns against its budget.

Channel attribution, player lifetime value forecasts, budget tracking

Game providers

How games and features perform by operator, which promotions work, and where game activity looks anomalous.

Game-log collection, account-level reporting, anomaly alerts

What is inside

A warehouse with one set of KPI definitions and Power BI reports your teams can extend on their own. Retention, reactivation and responsible gaming models run on your full player history, inside your security perimeter.

The problem

Where gaming reporting slows down

Loads run into the morning

The nightly load that once finished before the team arrived now runs past the first meeting, and the report arrives after the decision.

Reports built from exports

Teams collate and cross-check exports by hand, and every regulator request means another round.

Know-how in one head

When someone from the BI team leaves, the logic leaves too, and new hires take months to catch up.

A cloud bill at full capacity

Without lifecycle rules and efficient loading, the warehouse runs flat out around the clock and the bill follows.

The process

How we build it

1

Discovery

Workshops with your stakeholders and a review of your architecture, sources and processes. You get a prioritised roadmap, a target architecture with a transition plan, and a risk plan.

2

Framework

We set up our metadata-driven loading framework on a medallion architecture, connect the sources and add lifecycle rules, so reports stop querying the live gaming platform.

3

Delivery

We move legacy reporting across, add new and external sources, and hand over one reusable data model ready for reporting, analytics and data science.

Before you book

Five questions gaming operators ask first

Compliance, platform, ownership and the start

Will it satisfy our regulator and our security team?

At the European online gaming operator, the Azure environment met ISO 27001 certification requirements, with network isolation, security controls, full audit trails and data residency compliance. Regulatory reporting requests were handled promptly and accurately from the warehouse.

Does it have to run on Azure?

No. The gaming operator in our case study runs on Azure; if you already run Databricks, Microsoft Fabric, Snowflake or BigQuery, we build the platform there.

Why not buy a plug-and-play prediction tool?

Those tools see only the data you send them, and every transfer outside your organisation adds a security question. Models in your own warehouse use the full player history and stay inside your security perimeter.

Who runs the platform after the build?

Your team. We hand over the framework, the data model and the documentation, so the know-how stays with you when people change. If you want us to run it, support is priced separately.

How does a project start?

With a paid discovery at a fixed price: workshops with your stakeholders and a review of your sources and architecture. The roadmap and target architecture it produces set the scope, and we then quote the build, usually at a fixed price.

Next step

Bring your list of source systems to a 30-minute call

You talk to Michał Dębski, co-founder, about your gaming platform, CRM and reporting, and leave knowing what a first release would cover.

We are here to answer your questions

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