What if marketing performance data across billions of records could be accessed, cleaned, and shared in minutes instead of hours?
Challenge
Siphon Cloud managed over 3.4 billion marketing records across multiple SQL instances, making data retrieval time-consuming. Extracting and preparing datasets required significant manual effort, especially when sharing campaign performance data with various media agencies based on their specific requirements.
Solution
Epoc Labs helped design and implement a modern cloud-based data warehouse built on Google BigQuery. The solution consolidated multiple SQL instances into a unified warehouse through an automated ETL pipeline based on delta change, which also integrated with Siphon Cloud’s custom marketing application.
Impact
Siphon Cloud reduced data preparation time by over 90% and eliminated manual extraction tasks. Reporting latency dropped from hours to minutes, and the application now delivers insights to media partners 60% faster than before. With a single source of truth in BigQuery, Siphon Cloud can now access accurate, real-time marketing performance data across all campaigns.
Siphon Cloud transforms campaign reporting with BigQuery
Siphon Cloud, a company that manages multi-channel advertising data at scale, faced the limits of traditional SQL environments. The need for rapid reporting, run-time visibility, and partner-ready analytics drove the company to modernize its data infrastructure.
Epoc Labs engineered a BigQuery-powered warehouse that centralized billions of records and automated how marketing data is cleaned, connected, and delivered. The result is a platform capable of supporting continuous growth without compromising speed or accuracy.
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Industry
Marketing Technology / Data Infrastructure
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Departments Using App Data
Marketing, Media Agencies
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Engagement Model
Long-term Consulting & Implementation
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Project Type / Services Offered
BigQuery Data Warehouse, ETLs, Custom Reporting
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About
Siphon Cloud is a marketing technology company specializing in data-driven campaign management. It manages over 3.4 billion marketing records and partners with leading media agencies worldwide to deliver real-time performance insights.
“The warehouse changed how we operate. Data access is instant, reports are consistent, and teams finally work from the same version of truth.”
Director of Data Operations
Siphon Cloud
Standardizing campaign data across every source
The project began with a deep assessment of Siphon Cloud’s legacy SQL structure. Epoc Labs identified inefficiencies caused by redundant tables, inconsistent schemas, and slow data joins. Each instance was restructured into a unified BigQuery schema with standardized tables and field definitions.
A custom ETL pipeline automated the ingestion and transformation of billions of records. Using partitioned tables and scheduled refresh cycles, the warehouse now processes high volumes of data without bottlenecks. Validation scripts automatically check data integrity, ensuring every record is complete and accurate before being made available to end users.
The result is a live, connected foundation where marketing data from every channel can be accessed within minutes, not hours or days.
Integrating marketing data into a single, reliable framework
To make this data truly actionable, Epoc Labs built a direct connection between BigQuery and Siphon Cloud’s proprietary marketing application. Through this integration, teams can instantly visualize campaign results, compare agency performance, and generate shareable reports without writing queries.
Dashboards refresh automatically, and users can slice data by platform, client, or time period in real time. This shift has removed all friction from performance tracking. Marketing and operations teams now rely on the same live data source, eliminating reporting discrepancies and version conflicts.
Every stakeholder, from analysts to executives, has access to accurate, synchronized insights.
“We’ve eliminated every manual step in our reporting chain. It’s faster, cleaner, and entirely dependable.”
Marketing Analytics Manager
Siphon Cloud
Creating a governed framework for continuous growth
The new architecture established a lasting standard for data management.
- Every transformation is logged for audit and compliance.
- Role-based access ensures data confidentiality.
- Automated validation eliminates the risk of human error.
The system is built to expand as campaign data grows, supporting new sources, formats, and analytics layers without additional engineering overhead. What was once a collection of siloed systems is now a unified, scalable data ecosystem.
Establishing a data governance standard
By combining Dynamics 365, Dayforce, SQL Server, and DOMO Magic ETL, System Pavers created an auditable, governed data structure for its financial operations. Data updates are automated, and every user interaction is logged. The system supports secure role-based permissions and a transparent payout process, setting a higher bar for accuracy, accountability, and trust.
“We finally have a single, trusted view of commissions across every branch. The process is faster, cleaner, and fully traceable.”
Ahmad Roowala
Chief Technology Office
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