Industry
Travel and Hospitality
Annual Revenue
$9.4+ Billion
Location
Florida, USA
How we implemented a Real-Time Streaming Data Platform with STRIIM and Snowflake to enable fleet-wide operational efficiency
Enabled seamless, real-time data streaming across 30+ fleets, reducing replication lag from hours to under 5 minutes while safeguarding Personally Identifiable Information (PII).
Challenge
The client faced challenges in managing real-time fleet operations and data replication across multiple systems, leading to data privacy risks and delayed decision-making, including:
- Fragmented Systems: Disjointed sea-based systems with limited real-time insights across 30+ fleets
- Lack of Centralization: No unified data management across global fleet operations spanning multiple regions
- Inefficient Analytics: Inconsistent historical data retrieval and replication, delaying analytics by hours to days
- Data Privacy Risks: Rising concerns with PII spread across thousands of records daily
- Scalability Gaps: Urgent need for architecture to support rapid digital innovation and compliance mandates
Solution
Our team implemented a scalable, secure, and real-time streaming solution using STRIIM to modernize the client’s data infrastructure:
Building a Unified and Compliant Data Foundation
- Millions of historical records have migrated into Snowflake, creating a single source of truth
- Applied global security standards to safeguard PII across 30+ fleets and 20,000+ onboard staff records
Enabling Scalable, Real-Time Analytics
- Deployed applications across 30+ fleets, ensuring seamless onboard–onshore synchronization
- Reduced replication lag from hours to under 5 minutes with minimal critical outages
Strengthening Operations and Performance
- Implemented 24/7 PagerDuty monitoring and SOPs, reducing incident resolution time by 40%
- Partnered with the Enterprise Data team to achieve ~25% faster data processing through workflow optimization
Reference Architecture
Result
- Maximized ROI on Striim: Optimized deployment delivered a 30–40% boost in streaming efficiency, ensuring best rate of return
- Seamless Migration: Automated pipelines cut manual effort by 70% while maintaining business continuity
- Faster Time-to-Market: Initial load and CDC accelerated deployment of data-driven applications
- Scalable Real-Time Analytics: Built a next-gen analytics stack delivering real-time insights across 30+ fleets