Context / Business Need
Following a large-scale cloud transformation to Snowflake and Tableau Cloud, the client required continuous evolution, maintenance, and expansion of the analytics platform to support business growth and integration of new entities and systems.
Scope and Method of Service Provision
Scope of Work
Continuous support and evolution of the Snowflake + Tableau Cloud platform, including Application Maintenance (AM), development of new full-stack analytics projects, onboarding of new group companies’ data sources, and extension of data sharing capabilities to external stakeholders.
Services Provided
- Application Maintenance (AM) of existing Tableau and Snowflake assets
- Development of new Tableau dashboards and data sources
- Integration of new source systems from newly acquired or onboarded companies
- Enablement of AI use cases (ML and Generative AI) leveraging Snowflake Cortex AI and Snowflake ML services
- Snowflake consumption cost optimization
- Design and implementation of Snowflake data sharing solutions for external partners and customers
- Support to platform governance and performance optimization
- Integration of new ERP system (SAP S/4HANA Cloud) via SAP Datasphere (from 2025)
Tools & Technologies
Team
- 3 Data Engineers
- 3 Tableau Developers
Key Deliverables
- Continuous release of new dashboards and data products
- Data Integration pipelines for new entities
- Data sharing frameworks
- ERP integration pipelines
- Performance and consumption cost improvements
- AI-enabled analytics use cases
Outcomes & Impact
- Ensured continuity and scalability of analytics platform post-migration
- Enabled onboarding of new business units
- Improved data accessibility through data sharing
- Supported transition to modern ERP ecosystem
- Increased adoption and reliability of analytics solutions
Value Added
Leveraging combined expertise in Tableau and Snowflake, Ecoh Media implemented a cost attribution model down to single-dashboard level.
By tracking dashboard usage and analyzing Tableau Cloud metadata together with Snowflake query and compute metrics, the team identifies dashboards and queries to optimize in terms of both execution performance and cost efficiency.
This enables data-driven prioritization of optimization activities and improved cost governance across the analytics platform.
Enterprise-level Relevance
Demonstrates capability in long-term platform support and evolution, integration of new data sources and systems, and delivery of scalable analytics services in dynamic, multi-entity environments.