General Information About
VBET Data Platform
VBET Data Platform is a centralised analytics department that provides businesses with a single source of data, metrics and insights for decision-making in marketing, product, finance and operational management.
The platform combines data from internal systems, web sources and partner integrations and turns it into understandable, reliable and scalable business tools.
Meet Our Team
Dmytro Fedyukov
Chief Transformation Officer
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Astghik Ghazaryan
Head of BI & Analytics
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Lesya Vilinska
Program Manager
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VBET Data Platform
Key Department activities:
VBET Data Platform is responsible for the entire data cycle — from collection to business decisions. Key responsibilities of the department:
- Creating a single source of truth for data and metrics for the entire company
- Ensuring standardised reporting and business insights
- Calculating and monitoring key performance metrics
- Implementing real-time analytics for monitoring business events
- Ensuring data quality, consistency, and traceability
- Managing data access based on roles, regions, and teams
- Supporting quick business decisions in a dynamic market
Daily tasks
The team's daily work is focused on stable data delivery and business support. Main daily tasks:
- Support and development of business dashboards and regular reporting
- Updating and control of the library of metrics and their definitions
- Analysis of player behaviour and marketing channel effectiveness
- Monitoring business events in real time (transactions, bonuses, activity)
- Identifying anomalies, risks, and deviations in KPIs
- Supporting CRM campaigns
- Ensuring data quality and integration stability
- Collaboration with product, marketing, regional teams, and HQ
- Transforming business requests into analytical solutions
Key applications used by VBET Data Platform
VBET Data Platform uses a modern set of analytical and working tools for data collection, analysis, management, and effective interaction between teams.
- Metabase — a platform for business analytics and data visualisation, dashboard building, and standardised reporting for teams and management.
- BigQuery is a centralised analytical data warehouse for processing large volumes of information and building scalable analytics.
- DataHub — a centralised data and metadata catalogue that provides a single understanding of data sources, metrics, lineage, and data accountability.
- Confluence is the platform's knowledge base: documentation, standards, descriptions of metrics, processes, and architecture.
- Jira is a task and business request management tool that provides transparent delivery, prioritisation, and execution control.
- Google Workspace is a set of tools for daily communication, collaboration, and information sharing between teams.
Department structure
The VBET Data Platform is built as a modular, scalable structure, where each team has a clear role and area of responsibility.
Department structure:
Reporting Team
- Standardised reporting and business insights
- Single point of entry for analytics in the company
- Metrics, P&L, ROMI/ROI, LTV
- Supporting decisions for top management and teams
Core Data Team
- Player 360
- Basic data models and segmentation
- Data as the foundation for all analytics
Web Data Team
- Behavioural and marketing data
- Web analytics, campaigns, traffic efficiency
- CAC, ROMI, cost optimisation
- Data for marketing and product
Streaming / Real-time Team
- Real-time events and data
- Business monitoring and alerts
- Rapid response to changes and risks
- Support for quick decisions
Architecture Unit
- Architectural integrity of the platform
- Scalability and stability of delivery
- Coordination of decisions between teams
You can find in-detail Request Guide, the collaboration flow and the team structure below.
PDF Files
Data Platform Structure
VB DP Request Flow Guide
Collaboration flow
