About Client:
A renowned global hotel group with a wide portfolio of luxury resorts and business hotels, managing millions of guest interactions every year.
Background:
The client had already adopted Microsoft Azure as their core data platform. Data from Property Management Systems, Central Reservation Systems, CRM platforms, and digital tools flowed into Azure Data Lake, Azure Synapse Analytics, and Power BI dashboards. Azure Data Factory and Databricks orchestrated and transformed this data for analytics and reporting.
While the Azure ecosystem provided scale and flexibility, as their data pipelines and use cases expanded, one key element lagged behind: data lineage. The client lacked end-to-end visibility into how data was sourced, transformed, and consumed hindering trust and increasing compliance risks.
Challenge:
- Lack of Data Visibility: Teams couldn’t trace where data came from or how it was transformed, making it difficult to trust metrics.
- Slow Impact Analysis: Identifying which reports were affected by system changes or pipeline failures could take days.
- Compliance Risk: Without a clear audit trail of how personal data was processed, meeting GDPR and CCPA requirements was a growing concern.
- Low Data Literacy: Business users often misunderstood or misused data due to unclear definitions and lack of documentation.
- Manual Metadata Management: Data definitions were spread across PDFs, spreadsheets in different systems making it inconsistent and difficult to maintain
- Troubleshooting Was Painful: Diagnosing report discrepancies required time-consuming back-and-forths between teams.
