35%
less reporting costs
30%
less operational expenses
The client is a leading Biotech provider, supporting hospitals, clinicians, and patients with life‑saving and life‑enhancing tissue and biologic solutions. Data plays a critical role in their operations, from regulatory compliance to strategic decision‑making and donor‑to‑patient lifecycle visibility.
Challenge
The organization was grappling with significant limitations in its on‑premise reporting infrastructure. Their legacy environment had become slow, fragmented, and dependent on a multi‑step data extraction process that created delays and operational inefficiencies. Reporting was no longer keeping pace with business needs, making it difficult for teams to access timely, accurate insights.
Moreover, the data estate lacked a unified architecture. Reporting systems operated in silos, and the absence of centralized data governance created inconsistencies across analytical outputs. Without an integrated analytics platform, the organization had no foundation to enable advanced analytics, data science, or predictive modeling—capabilities they identified as high priorities for future innovation.
To address these challenges, the client engaged Orion to modernize their reporting repository, streamline their data estate, and build a scalable platform to support long‑term AI and machine learning initiatives.
Solution
Orion deployed a modern Microsoft Fabric environment built for performance, flexibility, and future‑proof innovation. The approach unified data, automated workflows, and simplified reporting across the organization.
Key solution elements included:
- Provisioned a Microsoft Fabric instance following governance and optimization best practices.
- Established a centralized Medallion Architecture in OneLake to organize data and power semantic modeling.
- Migrated all legacy Cyberquery reports into Fabric’s Power BI environment for improved speed and accessibility.
- Converted existing QAD extracts into OneLake Delta Tables to eliminate manual extraction processes.
- Implemented CI/CD pipelines enabling continuous data ingestion, automated updates, and scalable growth.
Impact
The modernization delivered clear operational and financial benefits:
- Faster, more reliable reporting performance across business units
- A unified, central repository for all enterprise analytics
- 35% reduction in revenue‑related reporting costs
- ~30% reduction in operational expenses
- A scalable platform for AI and ML, with Co‑Pilot enablement planned in future phases
- A modernized data estate ready to support predictive and advanced analytics
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