Direct Material Risk Assessment: Snowflake-Based Data Solution
Challenge
The project surfaced several challenges common in implementing a scalable direct material risk assessment solution. Data originated from multiple, complex sources—including large-scale ERP systems (like SAP), spreadsheets, and internal tools—requiring robust ETL pipelines and careful data standardization to ensure accuracy across the supply chain. The client’s existing process relied heavily on manual risk assignments, which introduced delays, inconsistencies, and a higher risk of human error, making a strong case for automation and logic-driven calculations.
As the project progressed, evolving supply chain risk management needs added layers of complexity. Business stakeholders introduced new data requirements and risk indicators mid-project, prompting the team to adapt quickly without compromising delivery timelines or data integrity. The combination of fragmented data, outdated manual processes, and shifting priorities made the project both technically demanding and organizationally intensive—necessitating a flexible, automated, and auditable solution.
The project surfaced several challenges common in implementing a scalable direct material risk assessment solution. Data originated from multiple, complex sources—including large-scale ERP systems (like SAP), spreadsheets, and internal tools—requiring robust ETL pipelines and careful data standardization to ensure accuracy across the supply chain. The client’s existing process relied heavily on manual risk assignments, which introduced delays, inconsistencies, and a higher risk of human error, making a strong case for automation and logic-driven calculations.
As the project progressed, evolving supply chain risk management needs added layers of complexity. Business stakeholders introduced new data requirements and risk indicators mid-project, prompting the team to adapt quickly without compromising delivery timelines or data integrity. The combination of fragmented data, outdated manual processes, and shifting priorities made the project both technically demanding and organizationally intensive—necessitating a flexible, automated, and auditable solution.
Solution
To address the challenges, the team delivered a scalable and fully automated solution for direct material risk assessment, designed to support complex supply chain risk management needs. Data from ERP systems, spreadsheets, and internal sources was integrated using Talend ETL pipelines and modeled in Snowflake using a Data Vault 2.0 architecture, ensuring data consistency, traceability, and scalability across the supply chain.
To address the challenges, the team delivered a scalable and fully automated solution for direct material risk assessment, designed to support complex supply chain risk management needs. Data from ERP systems, spreadsheets, and internal sources was integrated using Talend ETL pipelines and modeled in Snowflake using a Data Vault 2.0 architecture, ensuring data consistency, traceability, and scalability across the supply chain.
Results
The solution also featured comprehensive documentation, including URDs, data models, source-to-target mappings, and test cases, all version-controlled for collaboration and audit readiness.
Overall, the platform eliminated manual risk processes, increased data reliability, and empowered teams with real-time, actionable insights to proactively manage supply chain risks.
The solution also featured comprehensive documentation, including URDs, data models, source-to-target mappings, and test cases, all version-controlled for collaboration and audit readiness.
Overall, the platform eliminated manual risk processes, increased data reliability, and empowered teams with real-time, actionable insights to proactively manage supply chain risks.