Snowflake-Native Master Data Management for Consumer Goods Leader
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Client Overview

The client is a multinational consumer goods company with operations across North America, Europe, and Asia. They manage thousands of SKUs, suppliers, distributors, and retail partners, making data accuracy critical for ensuring smooth supply chain operations, regulatory compliance, and customer satisfaction.

As the company scaled its global footprint, its existing data systems struggled to provide a unified, real-time view of master data across domains, leading to inefficiencies and increased compliance risks.

Problem Statement

The client relied on legacy MDM platforms hosted outside of Snowflake, resulting in data silos and complex integration processes. Critical data domains such as Customer, Supplier, Product, and Location were scattered across multiple ERP and CRM systems.

The lack of a cloud-native MDM that worked seamlessly with their Snowflake Data Cloud limited their ability to modernize operations and leverage their enterprise data fully.

Key Challenges

  • Fragmented Data Across Systems

    Customer, supplier, and product data were stored in ERP, CRM, and legacy MDM systems without centralized governance.

  • Limited Scalability and High Costs

    The legacy MDM required expensive infrastructure and frequent maintenance, slowing down the company’s digital transformation.

  • Data Latency for Analytics

    Integrating MDM with Snowflake involved batch ETL processes, which delayed access to cleansed and governed data.

  • Regulatory Compliance Risks

    Global operations required adherence to GDPR, SOC2, and CCPA standards, but legacy systems lacked advanced security and audit controls.

  • Absence of Modern Stewardship Tools

    The existing system lacked intuitive workflows for stewardship, match & merge, validation, and lineage tracking.

Solution Implemented

  • Deployed Snowflake-Native MDM with Semarchy : Implemented Semarchy’s Snowflake-native MDM solution to manage Customer, Supplier, Product, and Location domains directly within the Snowflake Data Cloud.

  • Seamless Integration with Enterprise Systems : Enabled bi-directional integrations with ERP, CRM, and downstream analytics platforms using Snowflake pipelines and REST APIs.

  • Real-Time Governance & Stewardship : Configured stewardship workflows, survivorship rules, and validation checks within Snowflake, ensuring trusted and traceable data.

  • Enhanced Security & Compliance : Leveraged Snowflake’s built-in enterprise-grade security, encryption, and role-based access control to meet GDPR, CCPA, and SOC2 standards.

  • Eliminated ETL Complexity : Removed the need for heavy ETL by consolidating and governing data directly in Snowflake, reducing latency and improving agility.

Business Impact

  • 3X Faster Business Decision-Making

    Unified master data in Snowflake enabled executives and managers to access accurate insights instantly.

  • 67% Improvement in Operational Visibility

    End-to-end visibility into supply chain, product performance, and customer engagement.

  • 53% Boost in Responsiveness to Market Trends

    Real-time insights helped adjust pricing, promotions, and supply chain planning faster than before.

  • 38% Reduction in Compliance Risks

    Automated governance and lineage tracking ensured consistent adherence to GDPR, CCPA, and SOX.

  • 36% Lower IT & Infrastructure Costs

    Eliminated legacy MDM infrastructure by moving entirely to Snowflake’s cloud-native environment.

Highlights

  • 3X Faster Business Decision-Making
  • 67% Improvement in Operational Visibility
  • 53% Boost in Responsiveness to Market Trends
  • 38% Reduction in Compliance Risks
  • 36% Lower IT & Infrastructure Costs

Is Data Management a Challenge in Your Organization?

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