23 01
2025
A leading international retail organization discovered that tracking complex data attributes across multiple systems was hindering its operational efficiency and strategic decision-making. This case study explores a transformative solution developed by the Murdio team to address the challenges of tracking and understanding data lineage through a sophisticated technological infrastructure that spanned SAP Master Data Governance (MDG), SAP Business Warehouse (BW), centralized data lakes, and Collibra business intelligence platforms.
Our client, a global retail company operating in Europe, United States and Asia, faced challenges in tracking and understanding the lineage of critical data attributes such as total shelf life across its complex data ecosystem. These attributes were managed in SAP MDG (Master Data Governance system) and subsequently integrated into SAP BW for aggregation, transformations, and reporting. From there, the data flowed into a centralized data lake and BI platforms to support various reporting teams, which relied on tools like Tableau for business decision-making.
Despite the existing capabilities of Collibra, integrating lineage data across SAP’s layered architecture—spanning databases, applications, and custom ETL processes—required a thorough analysis and custom solution to allow smooth updates and changes. The standard Collibra connectors and lineage tools were insufficient due to how metadata from different platforms was ingested.
Challenges included:
Murdio’s team developed a custom integration to enable end-to-end lineage tracking in Collibra, tailored specifically to the organization’s SAP landscape:
This project highlights how Murdio expertise in custom Collibra development can bridge critical gaps in enterprise data ecosystems. By integrating SAP systems with Collibra through a custom solution, this initiative ensured automated lineage tracking and comprehensive impact analysis. These improvements enhanced data quality and transparency, empowering the organization to better manage its data governance framework and make informed business decisions.
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