Foresters Canada
The Challenges
Foresters needed to consolidate fragmented data across multiple legacy systems to enable unified analytics, regulatory compliance, and faster decision-making. Their goal was to implement a centralized Enterprise Data Warehouse (EDW) capable of managing structured and semi-structured data, while supporting scalable growth and governance.
- Integrating siloed datasets across different departments and platforms.
- Establishing a standardized and flexible data model.
- Meeting strict data quality and auditability requirements.
- Implementing governance controls without disrupting daily operations.
Business Impact
- 65% faster reporting cycles across departments.
- 80% improvement in regulatory data readiness.
- 30+ data systems consolidated into a unified platform.
- Reduced data duplication by 70%.
- 50% increase in analyst productivity via standardized access and definitions.
Our Solution
Yotta Data delivered a strong EDW solution tailored to Foresters’ business needs, with a focus on architecture scalability, regulatory compliance, and end-user accessibility.
End-to-End EDW Design
Engineered an enterprise-grade architecture handling 30+ data sources,built on a hybrid SQL and cloud-compatible structure.
Advanced Data Modeling
Delivered conceptual, logical, and physical models spanning over 500+ entities, aligned with business KPIs and regulatory metrics.
Unified Data Access Layer
Integrated disparate sources, including mainframes, CRM, and document systems, into a single source of truth reducing report generation time by over 65%.
Governance Framework
Established policies for data stewardship, lineage tracking,and access control, improving data compliance readiness by 80%.
Metadata Management
Implemented automated documentation and lineage mapping,streamlining audits and enhancing data transparency.
- List Item #1
- List Item #1
- List Item #1
- List Item #1
- List Item #1
“This wasn’t just a tech project; it was a transformation. Yotta Data’s EDW solution gave us visibility, structure, and trust in our data that we never had before.”
VP, Data Strategy & Compliance, Foresters Canada
Technologies Used

SQL Server, Azure Data Lake, SSIS/ADF

Erwin & dbt for data modeling

Custom Python/SQL scripts

Power BI integration
