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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Your questions,
answered.
A modern reporting platform is a centralized analytics environment that provides faster, more consistent access to business data. It replaces fragmented legacy reporting systems with unified data, automated processes, and self-service analytics.
Organizations modernize reporting to reduce manual work, improve data quality, and create a foundation for AI, predictive analytics, and better decision-making across business functions.
Legacy reporting systems often rely on manual data extraction, disconnected tools, and outdated infrastructure that slow reporting and increase operational overhead. As data volumes grow, these limitations become more difficult to manage.
Modern organizations need timely, trusted insights to support operational decisions, regulatory reporting, and long-term digital transformation initiatives.
A centralized data platform brings data from multiple sources into a single, governed environment where teams work from consistent information. This reduces duplicate reporting and improves trust in business metrics.
With unified data, organizations can generate reports faster, support enterprise-wide analytics, and prepare for advanced capabilities such as AI and machine learning.
Microsoft Fabric is a cloud-based analytics platform that unifies data integration, storage, engineering, and business intelligence in one environment. It simplifies data management while improving reporting performance.
By centralizing data and analytics, organizations can reduce complexity, automate reporting workflows, and build scalable data foundations for future AI initiatives.
Modernizing an enterprise reporting platform can reduce reporting costs, improve operational efficiency, and provide faster access to reliable business information. It also minimizes manual processes that delay decision-making.
A modern platform supports scalable analytics, stronger governance, and the flexibility needed to expand into predictive analytics and AI over time.
Organizations should consider modernization when reporting becomes slow, data is spread across multiple systems, or teams struggle to access consistent information. Frequent manual data preparation is another common indicator.
Modernization is also appropriate when businesses plan to adopt AI, advanced analytics, or cloud-based data platforms that require trusted, well-governed data.
Data governance helps ensure that reporting is based on accurate, consistent, and well-managed data across the organization. It establishes common definitions, quality standards, and access controls.
Strong governance improves confidence in business reports, supports regulatory compliance, and provides reliable data for analytics, forecasting, and AI-driven decision-making.
Reporting modernization creates a trusted data foundation by centralizing, organizing, and governing enterprise data. AI and machine learning perform more effectively when they use consistent, high-quality information.
By modernizing reporting platforms first, organizations can reduce data silos, automate data pipelines, and build the scalable infrastructure needed for future AI and predictive analytics initiatives.
