A business already committed to Microsoft tooling, with limited appetite for maintaining separate services for ingestion, storage, transformation, semantic modeling, and reporting. Teams needed faster iteration without expanding the operational footprint.
Business Needs
BI delivery was slowed by handoffs and duplicated logic across tools. Definitions drifted across reports because semantic models were inconsistent. Operational support was difficult because failures occurred across boundaries with unclear ownership.
Technical Challenges
If left unresolved, the organization would continue to spend time "fixing reporting" rather than using it.
Duplicate semantic models caused metric inconsistency and stakeholder disputes.
Data movement across services increased latency and operational overhead.
Pipeline failures were hard to diagnose without centralized monitoring.
Teams needed governance without slowing delivery.
Solution Architecture
Fabric Lakehouse Implementation
A Fabric Lakehouse was implemented with OneLake as the shared storage layer. Ingestion used Fabric Data Factory capabilities to pull source data into the lakehouse with repeatable patterns for retries, logging, and idempotency. Transformations were executed in the Data Engineering workspace, producing curated tables aligned to reporting needs. Semantic models were built in Fabric and published to Power BI to reduce duplication and keep metric logic centralized.
Selective Shortcuts
Shortcuts were used selectively, only where they reduced duplication without introducing ambiguous lineage or hidden dependencies.
Designed against failure modes
Maintaining separate tooling for orchestration and modeling. The platform was intentionally consolidated to reduce coordination overhead.
Implementation
Approach
Delivery was sequenced to stabilize ingestion before expanding reporting.
Standardized ingestion patterns and created a minimal curated layer for early reporting validation.
Aligned reporting definitions and consolidated semantic models.
Introduced operational controls including run logging, failure alerting, and access governance.
Expanded domain coverage using repeatable templates.
The Strategic Tradeoff
Limited early feature scope to prioritize operability. The goal was fewer moving parts with clearer ownership.
Outcomes and
Impact
Reporting delivery cycles shortened because ingestion, transformation, and modeling were coordinated in one platform.
Metric consistency improved by consolidating semantic definitions.
Operational support improved through centralized run visibility.
Consolidation is the
ROI
Consolidation is only valuable when it reduces complexity. Fabric was used here to simplify delivery and governance rather than add another layer.
Begin Your Journey
With Confidence
Contact T&Z International today to explore how our tailored solutions can empower your business. Let T&Z be your ultimate IT partner.