The Problem
Centralized data teams become bottlenecks. Every request — a new report, a new data source, a schema change — routes through the same 5-person team with a 6-week backlog. Domains that generate the data have no ownership of it. The result: slow delivery, low trust, and shadow analytics proliferating across departments.
Use Case
Decentralization, Governance, Scale
Our Approach
We implement data mesh as a practical organizational and technical pattern — not a theoretical framework. Each domain gets its own data product contract, its own pipeline ownership, and its own Power BI workspace. A central governance layer enforces naming conventions, security policies, and data quality standards across all domains.
- Domain-oriented data product contracts
- Federated Power BI workspace governance
- Self-serve data platform with guardrails
- Data quality SLAs and observability per domain
Governance
Centralized standards, distributed ownership
Outcomes
- 80% reduction in central team backlog
- Domain teams owning their own data products end-to-end
- Consistent governance across all domains without central bottleneck
Impact
Autonomous domains, shared standards