Back Office System
A comprehensive admin panel designed to manage player accounts, transactions, risk assessment, and reporting for an iGaming platform.
Project Type:
Internal / Client / SaaS Product
Role:
UIUX Designer (Team Project)
Tools:
Adobe XD, Adobe Illustrator
Durations:
4 months
Problem Statement
What was the challenge?
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The outdated admin panel was cluttered and difficult to navigate, reducing efficiency.
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Risk teams struggled to detect fraud due to limited monitoring and automation.
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Payment processing was slow, causing delays in fund settlements.
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Reporting and analytics required manual extraction, resulting in inefficient workflows.
Who was affected?
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Operators & Admins – Faced challenges managing player accounts, transactions, and compliance tasks.
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Risk & Fraud Teams – Needed a system for real-time fraud detection and monitoring.
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Finance Teams – Required automated tools to track and reconcile transactions.
Project Scope & Objectives
Project Requirements
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Dashboard: Key metrics and player activity.
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Player Management: Manage player accounts.
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Fraud & Risk: Detect suspicious activity.
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Transactions: Track transactions and settlements.
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Analytics: Generate instant reports.
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Events: Manage promotions and tournaments.
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VIP & Loyalty: Track VIPs and rewards.
01
Stakeholder Expectations
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Operators: Require a seamless platform for monitoring user activities and managing accounts.
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Risk & Compliance Teams: Need real-time alerts and automated fraud detection tools.
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Finance Teams: Expect an automated, reliable reporting system for reconciling transactions.
02
Technical Constraints
& Considerations
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Integration with multiple payment providers.
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Secure authentication and role-based permissions.
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Scalable architecture to handle high transaction volumes.
03
Challenges & Solutions
Challenge 01: Complex Navigation
The system had complex navigation hierarchies, increasing cognitive load and task friction.
Solution 01: Simplified UI
Restructured information architecture with flat navigation, simplifying task discovery and clicks.
Challenge 02: Manual Fraud Detection
Manual, reactive monitoring caused blind spots, delayed fraud responses, and increased risk.
Solution 02: AI-Driven Monitoring
Introduced AI-powered fraud detection with real-time alerts, enabling proactive prevention.
Challenge 03: Manual Reporting
Manual data extraction and aggregation slowed reporting and decision-making.
Solution 03:Automated Report Generation
Built a customizable report engine to automate data synthesis and reduce reporting time.
Impact & Results
50%
Reduced admin task completion time
40%
Improved fraud detection efficiency by
-20h
Weekly Financial Reporting Time Reduced By
Lessons Learned
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[UI Simplification] A streamlined UI improved workflow efficiency and reduced critical errors across the dashboard.
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[Data Visibility] Real-time data dashboards enabled faster fraud detection and proactive decision-making for risk operators.
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[Process Automation] Automated financial reporting successfully minimized manual effort while enhancing overall data accuracy.
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[Strategic Alignment] Close collaboration with stakeholders was essential to align system functionalities with core business needs.
Future Improvements
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01 / Predictive Threat Intelligence
Integrate advanced predictive analytics to further sharpen fraud detection accuracy and anticipate potential vulnerabilities before they occur.
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02 / Mobile Risk Monitoring
Develop a dedicated mobile-friendly admin panel to enable seamless on-the-go tracking, ensuring admins can intercept critical alerts instantly.
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03 / Operational Automation Scaling
Scale current automation workflows into simplified data tables and background customer support tasks to optimize day-to-day administrative overhead.
