The event starts with clean data.

Registration deduplication at scale

Major event registrations routinely attract millions of entries across multiple waves, geographies, and access channels. A significant proportion of those entries are duplicates — individuals registering multiple times with variations of their name, email address, or identity documents in an attempt to improve their chances in an allocation ballot.

Our deduplication engine operates across the full registration dataset, matching entries on a weighted combination of identity signals: name variants and transliterations, normalised email addresses, phone numbers, document identifiers, device fingerprints, and behavioural patterns. The system is tuned to each programme's specific rules, with configurable thresholds that balance false-positive risk against allocation fairness.

For a single Olympic Games programme, this process typically identifies and consolidates millions of duplicate entries before any tickets are allocated — protecting the integrity of every draw and ensuring equitable access for genuine fans.

Fraud detection and bot identification

Beyond duplicates, event registrations attract coordinated fraud: automated bot submissions, synthetic identities, and organised resale networks attempting to capture inventory at scale. These threats require detection that operates in real time, not after the fact.

Our fraud detection layer analyses registration behaviour as it happens — identifying velocity anomalies, device reuse patterns, datacenter IP ranges, and coordinated submission timing that distinguish organised fraud from legitimate demand. Machine learning models trained on data from hundreds of millions of transactions continuously refine detection accuracy.

• Real-time bot detection during registration windows using behavioural analysis and device fingerprinting
• Network graph analysis to identify coordinated submission clusters and synthetic identity rings
• Automated flagging and quarantine workflows with manual review escalation paths
• Post-registration sweep to catch sophisticated threats that evade real-time detection

Identity resolution across the fan journey

A single individual may interact with an event programme through multiple channels: registering on a public portal, receiving a corporate allocation, purchasing through a retail partner, and downloading a mobile credential. Identity resolution connects these touchpoints into a unified profile — without relying on a single shared identifier.

This capability underpins accurate capacity management, personalised communications, and regulatory compliance. It ensures that allocation limits are enforced across channels, that a fan receives one coherent communication stream rather than fragmented messages, and that data subject access requests can be fulfilled completely.

Clean pipelines for reporting and stakeholder intelligence

Raw event data is only useful if it reaches the right stakeholder in the right format at the right time. We operate structured data pipelines that transform registration, sales, and access data into stakeholder-ready intelligence — delivered via real-time dashboards, automated feeds, and scheduled reports.

These pipelines enforce data quality rules at every stage: validation on ingestion, normalisation across sources, deduplication before aggregation, and privacy filtering before delivery. The result is a single source of truth that rights holders, sponsors, organising committees, and operational teams can rely on without reconciliation.

All processing complies with applicable data protection regulations, including GDPR and local privacy frameworks. Purpose limitation, data minimisation, and retention controls are built into the pipeline architecture — not applied as an afterthought.