A Technical Strategy Session with Semarchy, Snowflake, and Rexel

Organizations across retail, distribution, manufacturing, and consumer goods are accelerating investments in AI, analytics, and customer-centric initiatives—but many teams still struggle with fragmented product, customer, supplier, and location data spread across business units, operational systems, and acquired companies.

Join Semarchy, Snowflake, and Rexel for a technical discussion on how leading enterprises are building trusted, scalable data foundations in Snowflake. Using Rexel’s journey as a real-world example, we’ll explore practical approaches for creating a centralized, business-ready view of critical data domains to improve commercial effectiveness, operational performance, governance and enterprise-wide access to trusted data. 

The session will explore real-world design patterns and implementation approaches for mastering core business data, resolving duplicates and inconsistencies, managing complex hierarchies and relationships, and publishing trusted data products that support analytics, operations, and AI initiatives.

In this 45-minute discussion, we’ll cover:

• Data modeling patterns for customer, product, supplier, and location domains

• Data quality, matching, survivorship, and hierarchy management at enterprise scale

• Strategies for consolidating and governing data across multiple business units and acquired organizations

• Building trusted data products in Snowflake for analytics, operational processes, and AI workloads

• MDM implementation approaches that balance governance, agility, and business value

Designed for data architects, platform teams, data governance leaders, analytics engineers, and MDM practitioners supporting modern data and AI initiatives.