Domain-oriented model
Sportsbook, casino, player, campaign and operation are treated as related parts of the same reality.
Operational intelligence for iGaming
Move from data to answers.
EyeQ combines a gaming-oriented data model with an extensive query library built to answer the reporting needs of sportsbook and casino operations.
OverviewSportsbookCasinoPlayersMarketingFinance
GGR€1.24M↗ 4.8%
NGR€0.91M↗ 2.3%
Active48.2K↗ 6.1%
Operational performanceRecent periods
Top domainCasino
Active reportsLibrary
SportsbookCasinoPlayersMarketingFinanceOperations
Built for iGaming
Do not start with a blank canvas.
A generic tool provides visualisations. EyeQ starts with the questions, relationships and calculations gaming teams need to understand.
Knowledge library
Purpose-built queries preserve the logic required to answer recurring questions consistently.
Operational reporting
Information is organised to support executive, commercial, financial and operational decisions.
Reporting library
A question should lead to an answer, not another project.
EyeQ’s value lies in the depth of prepared logic: relationships across sources, periods, players, products and operational outcomes.
1Choose the question
2Apply the context
3Analyse the result
Example operational questionsEyeQ library
Which games and providers are contributing to the change in GGR?
→How are turnover, margin and activity evolving by sport and competition?
→Which groups are changing behaviour between periods?
→Which initiatives bring players with sustainable activity?
→Where are revenue, cost and target variances appearing?
→Which indicators need attention before the next reporting cycle?
→Complete view
A-to-Z reporting across the operation.
Each area has its own questions, but all depend on coherent definitions and relationships across the data.
Sportsbook
Margins, activity, betting patterns, sport, competition and season.
Casino
Performance by game and provider, preferences, activity and revenue sources.
Financial
Revenue, costs, profitability and the evolution of financial indicators.
Marketing
Acquisition, campaigns, costs, conversion and initiative returns.
CRM and retention
Lifecycle, player groups and the performance of retention strategies.
Targets
KPI monitoring and progress against defined operational objectives.
Predictive analysis
Analytical structures for anticipating trends and supporting planning.
Compliance
Indicators required to monitor operational processes and requirements.
Responsible gaming
Dedicated analysis of the indicators supplied by the operation.
Risk
Visibility over patterns and indicators defined by the risk team.
KYC
Operational monitoring of customer verification processes.
Technology
Quality, usage and behaviour of the systems supporting the operation.
Tags and personas
Consistent analytical groups for understanding different behaviours.
Customers
Demographics, activity and the evolution of the operator relationship.
EyeQ vs. generic BI
Less repeated modelling. More operational context.
EyeQ can take the place of a generic BI layer when the goal is to answer the specific needs of a gaming operation.
Generic BI projectEyeQ Gaming
Define metrics from scratchPrepared iGaming logic
Rebuild recurring queriesOperational library
Interpret isolated sourcesDomain relationships
Deliver dashboardsDeliver answers
Data foundation
A clear chain from source to calculation to decision.
The final implementation respects the sources, refresh frequencies and access rules approved by each operation.
01Source systemsPlatform · Providers · Operations
→02Data warehouseHistory and controlled relationships
→03Query libraryCalculations and domain context
→04EyeQ experienceReporting and operational analysis
Explore EyeQ
Each domain deserves its own context.
Go deeper into the questions, definitions and decisions each area needs to support.
See it with your data
Request a demo