iGaming Data Platforms
We build data platforms for iGaming operators that help make smarter decisions, personalize player experiences, and detect fraud in real-time. Gain full control over your data, optimize performance, and increase revenue with a scalable and secure solution.
Key pillars of a powerful iGaming data platform
Data warehouse
We can build a centralized data warehouse that connects all your data sources into one structured system.
This allows for easier analysis, accurate reporting, and a complete 360° view of your players.
Reporting & analytics
By implementing a data platform, you get real-time access to reports and insights on game performance, player activity, marketing, and compliance.
Track trends, spot risks, and improve financial results.
Data science & AI
With a data platform, you can use machine learning and predictive models to boost retention and reactivation.
Segment players smarter, target better, and turn insights into action across your business.
We build custom data platforms – starting with seamless data collection
Player activity & behavior
We can help you track gameplay patterns, session duration, bet amounts, win/loss trends, and VIP segmentation.
Game performance analytics
We analyze RTP, top/flop game performance, and engagement levels using machine learning.
Marketing & acquisition data
We monitor player sources, campaign effectiveness, churn probability, and LTV predictions.
Fraud & risk indicators
We detect bonus abuse, suspicious activity, and ensure AML/KYC compliance.
Financial & operational insights
We provide real-time reporting on GGR/NGR, budget tracking, cost control, and revenue forecasts.
Regulatory compliance metrics
We automate audit logs, validate manual adjustments, and track responsible gaming measures.
Data warehouse use cases
Online casino operators & sportsbook
We enable automated data collection on a per-spin level from online platforms, game provider APIs, CRM systems, social media, and other sources.
By unifying and standardizing data from multiple systems, we create a complete, player-centric view that allows you to apply AI and data science to build long-term strategies and boost player lifetime value (LTV).
Land-based casino & sportsbook
Collecting and consolidating customer data from loyalty programs, gaming activity, and non-gaming areas like restaurants, bars, or hotels enables precise segmentation, early VIP identification, and personalized offers or rewards.
Merging slot and table data with turnover and GGR insights supports smarter casino floor planning and game portfolio optimization.
Incorporating HR and operational data allows for more effective staff allocation and better control over inventory and day-to-day operations.
Game providers
Gathering game logs and usage data enables in-depth analysis of the most engaging features and mechanics.
Linking gameplay statistics with marketing and promotional data makes it possible to evaluate the performance of specific campaigns.
Merging player feedback with in-game behavior insights helps continuously refine and improve the overall player experience.
Affiliate marketing
Integrating and mapping data from affiliate platforms and tracking tools allows real-time monitoring of traffic, conversions, and revenue performance.
Historical data collected over time provides the groundwork for advanced analytics, LTV forecasting, and building strategies focused on maximizing affiliate profitability.
Reporting and analytics cases
1. GGR/NGR summary - monitor revenue trends and uncover specific performance patterns.
2. Global scorecard - high-level overview of all business areas with the ability to drill down into detailed metrics.
3. Marketing insights - executive-level reporting on channel effectiveness and player acquisition results.
4. Game performance - identify most and least engaging games based on player interest and activity.
5. High wins monitoring - track significant player wins across games and sessions.
Recipients: Executives, Operations/Regional Managers, Facilities Managers, Marketing Directors
1. Acquisition & Promotion Analysis - Track the effectiveness of acquisition channels and marketing campaigns, including deposits, bonuses, and conversion costs.
2. Player Segmentation & Lifetime Value - Segment players by behavior and value to support personalized retention strategies and identify churn risks.
3. Regulatory & Internal Reporting - Automate compliance reporting, vault validation, and manual adjustment tracking to meet legal and audit requirements.
4. Game & Platform Integrity - Ensure game version compatibility and monitor platform actions to maintain operational stability and compliance.
Recipients: Marketing, CRM, Product, Compliance, Legal, Casino Ops, VIP & Promotion Managers.
1. Responsible gaming monitoring - analyze the use and effectiveness of responsible gaming tools such as limits, time-outs, and cool-off features.
2. Player behavior analysis - review gameplay patterns to identify trends and anomalies within the player base.
3. Risk assessment - detect high-risk gamblers and evaluate the impact of implemented preventive measures.
4. Fraud detection - identify and report suspicious activity, including bonus abuse and exploitative behavior.
5. KYC & AML checks - cross-reference player data for identity verification and compliance with anti-money laundering regulations.
Recipients: Casinos, Sportsbooking, Marketing, Legal, Compliance, Facility Managers
1. Profit & loss overview - track the company’s financial health through automated, up-to-date reporting.
2. Financial reconciliation - verify transactions such as provider invoices to ensure accuracy and consistency.
3. G&A reporting - gain detailed visibility into operational expenses to support budgeting and identify irregularities.
4. Cash flow monitoring - detect potential liquidity gaps and manage cash movement effectively.
5. Budget vs actual- compare actual spending against planned budgets to maintain financial control.
Recipients: Directors, Managers, Finance & Controlling
Business cases
Early VIP Detection & LTV Maximization
Player Exclusion & Churn Prevention
Player Segmentation & Profiling
Recommendation Engines
Personalised Marketing
Growth Strategy (expansion & investments)
Dynamic Pricing Model
Demand & Resource Allocation Forecasting
Hold Increase Plan & Game Floor Enhancement
Responsible Gaming
Implementation Approach
Example data platform architecture
