How we helped a Leading Cruise Line Reduce Integration Costs by 30% and Achieve 80% SLA Adherence to Enhance Salesforce Performance.
- Industry: Travel and Hospitality
- Revenue: $9.5+ Billion
- Location: Miami, Florida, USA
Problem/Business Requirement
The client aimed to overhaul its legacy Salesforce integration landscape, which was hindering operational efficiency and scalability. The core challenges included:
- Fragmented Data Integrations: The existing ecosystem relied on multiple legacy ETL tools (SSIS, App Connect, IIB), resulting in overlapping pipelines, inefficiencies, and high maintenance costs.
- Siloed & Complex Data Architecture: Data from reservation systems passed through multiple transformation layers before reaching Salesforce, increasing latency and reducing transparency.
- Limited Scalability & Manual Effort: Frequent errors and a lack of automated handling forced teams to rely on manual interventions, slowing down processes and increasing the chance of failure.
- High Support & Maintenance Overhead: Redundant tools and scattered integration logic led to increased support load, poor reliability, and multiple failure points.
Strategic Approach
To address these systemic inefficiencies, Logic Pursuits designed and implemented a modernized, scalable integration framework using Snowflake, dbt, and Matillion, supported by phased planning and cross-functional alignment.
Discovery & Planning
- Conducted a detailed audit of the existing integration landscape, identifying inefficiencies, redundancies, and performance bottlenecks.
- Designed a centralized Snowflake architecture to simplify data movement and reduce load on operational databases (Oracle, SQL Server) using Fivetran.
Architecture & Proof of Concept
- Validated Snowflake and dbt for scalable data preparation and Matillion for Salesforce API connectivity.
- Established modular and future-ready integration flows, ensuring high reusability and low complexity.
Implementation & Optimization
- Replaced fragmented ETL tools with a unified dbt/Snowflake + Matillion-powered framework.
- Introduced automated error handling, backfill processing, logging, and schema adaptability to eliminate manual interventions.
- Ensured seamless integration with Salesforce’s restructured object model.
Deployment & Roadmap
- Executed a phased deployment strategy, prioritizing high-impact projects and accounting for peak business periods.
- Set up dedicated development, monitoring, and logging environments to ensure sustainability and enable cross-team adoption Informatics and Control M (tools used)
Reference Architecture
Outcome
- Reduced support and maintenance costs by 30% by eliminating redundant ETL tools.
- Achieved 80% SLA adherence, improving data reliability and delivery speed.
- Built a scalable, automated framework with Snowflake, dbt, and Matillion.
- Enhanced data flow to Salesforce, enabling faster analytics and agility.
Result
Revamped its Salesforce integration to reduce costs and improve reliability. The new architecture cut integration expenses by 30% and boosted SLA adherence to ~85%. This enabled accurate and timely data delivery across teams.