About the Client
Supply Medium is a technology-driven organization specializing in cloud, data engineering, business intelligence, and enterprise analytics solutions. As its data ecosystem expanded across multiple business platforms, the organization required a comprehensive data governance framework to improve data trust, lineage, compliance, and enterprise-wide visibility.
Background
Supply Medium adopted Microsoft Azure as its primary cloud data platform, centralizing enterprise data to support business intelligence, reporting, operational analytics, and digital transformation initiatives.
Data from multiple business applications flowed through Azure Data Lake, Azure Synapse Analytics, Azure Data Factory, Databricks, and Power BI. While this modern cloud architecture delivered scalability and performance, the rapid growth of data pipelines introduced new governance challenges.
As analytics usage expanded, teams found it increasingly difficult to understand where data originated, how it was transformed, and which reports depended on specific datasets. Without comprehensive data lineage, troubleshooting became slower, compliance became more complex, and confidence in enterprise reporting declined.
Challenge
Several governance challenges emerged as the Azure data platform matured:
- Limited visibility into data origins, transformations, and downstream usage.
- Slow impact analysis when pipeline failures or data changes affected reporting.
- Growing compliance requirements requiring complete audit trails for sensitive information.
- Limited business understanding of enterprise datasets due to inconsistent documentation.
- Manual metadata management spread across multiple documents and repositories.
- Time-consuming collaboration between technical teams to diagnose reporting issues.
- Need for an enterprise-grade governance platform capable of automatically tracking lineage across the Azure ecosystem.
Solution
Supply Medium partnered with our team to implement a comprehensive data governance framework centered on Microsoft Azure Purview, providing automated discovery, metadata management, data lineage, and enterprise governance across the organization’s Azure environment.
Centralized Data Catalog
- Configured Azure Purview to automatically scan enterprise data assets across cloud and integrated systems.
- Established a centralized metadata catalog serving as a trusted source of enterprise data information.
- Simplified discovery of datasets for both technical and business users.
Automated Data Lineage
- Integrated Azure Purview with:
- Azure Data Factory
- Azure Databricks
- Azure Synapse Analytics
- Power BI
- Automatically captured end-to-end lineage across data ingestion, transformation, storage, and reporting workflows.
- Developed custom connectors where necessary to support specialized processing pipelines.
Business Glossary & Data Ownership
- Created an enterprise business glossary connecting business terminology with technical data assets.
- Assigned ownership and stewardship responsibilities to improve governance, accountability, and collaboration.
- Standardized data definitions across departments.
Data Classification & Compliance
- Leveraged Azure Purview’s automated classification capabilities to identify:
- Personally Identifiable Information (PII)
- Sensitive business data
- Financial information
- Confidential organizational data
- Strengthened enterprise compliance through automated classification and governance policies.
Self-Service Data Discovery
- Enabled business users to independently search enterprise datasets.
- Provided visual lineage diagrams showing complete data flow from source systems through analytics.
- Reduced dependence on IT teams for metadata and reporting questions.
End-to-End Analytics Visibility
- Extended Azure Purview lineage into Power BI reporting.
- Allowed users to trace dashboards back to their original data sources.
- Improved reporting transparency, troubleshooting, and confidence in enterprise analytics.
Outcome
The Azure Purview implementation delivered substantial governance improvements for Supply Medium:
- Re-established trust in enterprise data through complete end-to-end data lineage.
- Reduced issue resolution time by approximately 60% using visual lineage analysis and automated metadata.
- Improved business data literacy through standardized terminology, documentation, and self-service data discovery.
- Strengthened governance and simplified regulatory compliance through transparent auditing of sensitive data processing.
- Increased collaboration between business and technical teams through centralized metadata management.
- Accelerated development of new analytics initiatives by providing clear data ownership, trusted metadata, and complete visibility across the enterprise data platform.
Lasting Impact
The Azure Purview implementation enabled Supply Medium to establish a modern, enterprise-grade data governance framework supporting trusted analytics, automated lineage, regulatory compliance, and scalable data management.
By combining Azure Purview with the organization’s existing Azure data platform, Supply Medium created a secure, transparent, and future-ready data ecosystem that empowers business users, simplifies governance, and supports continued growth in enterprise analytics and digital transformation.