PROBLEMS WE SOLVEHIGH IN-HOUSE COSTS
In-house analytics feels safe. The bill says otherwise.
Build your own warehouse, hire the team, license the BI. In theory you get control. In practice, iGaming scale, complexity and compliance turn it into a permanent, growing overhead.
THE REAL COSTThe build → endless upkeep
WHO SELF-SERVES5% power users → every team
CLOUD BILLSUnpredictable → managed
THE PROBLEM
The build is the cheap part. Upkeep is the tax.
A modern iGaming warehouse has to ingest billions of events in real time, retain raw history for audits and ML, encode the logic of bet lifecycles, RTP, payments, AML and RG, and scale through every weekend and tournament peak. That takes architects who understand both data engineering and gaming: a rare, expensive combination.
Even once it's built, it stays fragile. Schema changes break pipelines, daily jobs fail, cloud costs spike unpredictably. Add data engineers, BI developers, data scientists and analysts on permanent payroll, and the backlog still grows. A technical project quietly becomes a permanent firefight.
WHERE THE MONEY GOES
RARE ARCHITECTS
Engineers who know both data and gaming are scarce and costly.
PERMANENT PAYROLL
Engineers, BI devs, scientists and analysts. And still a backlog.
PER-SEAT LICENCES
BI priced per user multiplies cost as more teams need access.
FRAGILE PIPELINES
Broken jobs and cloud-cost spikes keep the team firefighting.
WHY GAMBLITUDE WAS BUILT FOR THIS
The whole analytics layer, fully managed
Instead of every operator reinventing analytics with expensive teams and tools, Gamblitude delivers the entire layer as a managed, domain-specific product, on three principles.
FIG. 01 / THE PHILOSOPHY
01
Managed warehouse
Cloud-native, streaming, columnar, serverless: built for billions of events. Cloud bills stop being an unpredictable line item.
02
No-code, no gatekeepers
Every department builds and shares insight in minutes without SQL, and the Custom Metrics Engine keeps one governed source of truth.
03
AI monitoring built in
Insight Radar, the AI Agent and Data Sheet deliver continuous anomaly detection and safe in-platform exploration. No risky exports, no extra hires.
IN PRACTICE
When the managed path wins
03 SCENARIOS
SCENARIO 01 / SMALLER OPERATOR
Advanced analytics without a data department
THE CHALLENGE
Data grows far faster than a small team can scale. Recruitment is slow, turnover is high, and the business runs blind while the backlog builds.
GAMBLITUDE IN ACTION
The warehouse, BI and AI arrive as one managed product. Nothing to build.
Marketing, finance and ops self-serve without waiting on engineers.
Cloud spend is managed, not a monthly surprise.
Analytics maturity that would take years in-house, live in weeks.
WHY IT MATTERSSmall operators get enterprise-grade analytics without carrying an enterprise-grade payroll.
SCENARIO 02 / LARGE GROUP
Consistency across brands, control retained
THE CHALLENGE
Multiple brands and markets mean inconsistent KPI definitions, parallel warehouses duplicating cost, and whole departments reconciling group vs local reporting.
GAMBLITUDE IN ACTION
Every metric is defined and versioned by the operator itself.
Global standards are enforced group-wide, with local views where needed.
One platform replaces parallel warehouses and duplicated BI projects.
Reconciliation work shrinks instead of consuming departments.
WHY IT MATTERSGroups hold control and consistency together, the hardest problem in iGaming analytics at scale, without sacrificing either.
SCENARIO 03 / THE BAR
When external actually beats in-house
THE CHALLENGE
In-house isn't always wrong: with a large technical department it can work. For an external platform to be the better call, the bar is high.
THE THREE CONDITIONS
Handles iGaming scale: billions of events, near real time, raw history retained.
Understands gaming metrics: casino, sportsbook, lottery, poker and affiliate nuance.
Accessible org-wide: every team queries directly, not through analysts.
WHY IT MATTERSGamblitude was designed to meet all three, which is why it becomes the more sustainable, scalable option for so many operators.
THE OUTCOME
From overhead to informed choice
Running analytics in-house can look like the natural path, but in iGaming it usually becomes a permanent overhead: rising payroll, unpredictable infrastructure and BI tools that leave most of the organisation waiting. The real choice isn't between control and outsourcing. It's between maintaining an expensive legacy model, or adopting a modern architecture built for the realities of iGaming.
COSTrising payroll + spikes → predictable and managed
ACCESS5% gatekeepers → every department
CONTROLfragile in-house → metrics owned and versioned by you
// PROBLEMS WE SOLVE / HIGH IN-HOUSE COSTS
Advanced analytics. Without building a data department.
See what the fully managed alternative costs, and what it frees your team to do instead.
Book a demo now