Img-Reboot

Modernizing the Data Backbone with Snowflake-Native Data

Summary

Our client, a flagship premium brand in a multi-line cruise portfolio, has over 150 years of maritime heritage catering to experience-driven travelers. They faced a big question: how to accelerate their data strategy to meet rising demands for faster insights, operational efficiency, and scalable analytics?

Their challenges included:

  • Fragmented data ecosystem including Oracle (OCI, on-premises, and RDS), SQL Server, Snowflake, file-based feeds, and API integrations
  • Disparate data environments resulting in data silos, redundancy, and lack of consistent governance controls
  • Reliance on ETL and CDC tools such as Matillion, IICS, and AWS DMS increasing cost & complexity
  • Lack of a unified enterprise data foundation limited the ability to provide a trusted, 360° view of business operations
  • Absence of standardized governance practices, near real-time ingestion capabilities, data quality monitoring and lineage visibility slowing decision-making

To address these challenges, they needed a partner to modernize the platform with Snowflake-native technologies and cloud-native best practices, enabling real-time insights, personalized guest experiences, and enterprise-wide data-driven decisions.

Tredence Approach

Snowflake-native Ingestion & Modern Platform Architecture

  • Enabled CDC ingestion across RDBMS, APIs, and file systems using Snowflake Openflow
  • Modernized legacy Informatica batch ETL pipelines by transitioning to Snowflake-native dbt and Openflow
  • Centralized data ingestion, monitoring, and governance within the Snowflake ecosystem

Enterprise-aligned Data Foundation

  • Modernized data structure through data ingestion, transformation and development of unified data models
  • Unified disparate Oracle and shared Snowflake data warehouses into a single, enterprise-wide Snowflake platform
  • Enabled cross-domain data interoperability through shared data models
  • Built reusable, domain-driven data assets

Scalable Governance Framework

  • Strengthened guest data privacy through systematic classification of sensitive information, policy-driven access controls, and automated masking to support regulatory compliance and protect brand trust
  • Implemented automated data quality validation and monitoring frameworks using Data Metric Functions (DMF) to ensure accurate booking, revenue, and operational reporting
  • Improved data discoverability and transparency by leveraging Horizon Catalog, end-to-end lineage, and a metadata-driven data dictionary
  • Institutionalized data stewardship practices through standardized operating playbooks across privacy, quality, and catalog domains, ensuring enterprise-wide accountability and governance maturity

Innovation & Business Intelligence

  • Enabled near real-time analytics workflows to support faster operational and commercial insights
  • Strengthened AI/ML initiatives by ensuring continuous access to fresh, governed data

Results

Icon Boost

Up to 60% reduction in data ingestion time accelerating visibility into voyage performance and booking trends

Icon Boost

Near real-time data availability (sub-2-minute latency) to support operational and commercial decision-making

Icon Boost

35–40% faster incremental processing to improved reporting efficiency across critical revenue and operational tables

Icon Boost

Decrease in total cost of ownership by eliminating third-party ETL platforms such as Matillion and Informatica

Icon Boost

Unified, governed data ecosystem within Snowflake to power enterprise-wide analytics and insights

Icon Boost

Stronger guest data protection through policy-driven classification and automated masking controls

Talk To Us