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Data Virtualization

Data management10/21/2025Advanced Level

Data virtualization is a technology that integrates data from disparate sources into a single, virtual view without physically moving or copying the data.

Definition

Data virtualization is a data integration approach that creates a unified, virtual layer over disparate data sources, allowing users and applications to access and query data as if it resided in a single location. Unlike traditional methods that involve physically extracting, transforming, and loading (ETL) data into a data warehouse, data virtualization leaves the data in its original sources. It provides a real-time, consolidated view by querying the underlying systems on demand. This technology is particularly valuable for scenarios requiring immediate access to diverse, constantly changing data without the overhead of data duplication and complex ETL processes.

Why It's Important for E-commerce

In e-commerce, data virtualization helps create a comprehensive and real-time view of product information, customer data, and sales analytics, which often reside in various systems (PIM, ERP, CRM, analytics platforms). It enables businesses to quickly combine product data from a PIM with inventory data from an ERP, or customer data from a CRM, for dynamic pricing, personalized recommendations, or accurate reporting. This agility supports faster decision-making, streamlines operations, and enhances the customer experience by providing up-to-date and consistent information across all touchpoints without the delays associated with traditional data movement.

Examples

  • An e-commerce platform uses data virtualization to combine product descriptions from PIM with real-time stock levels from ERP to display accurate product availability.
  • A marketing team leverages virtualized data from CRM and PIM to create personalized product recommendations for customers based on their purchase history and product attributes.
  • A business intelligence dashboard pulls virtualized data from multiple sources (sales, inventory, website analytics) to provide a unified view of e-commerce performance.
  • A customer service agent accesses a virtualized view of a customer's order history, product details, and shipping status from various systems without switching applications.

How WISEPIM Helps

  • **Real-time Data Access:** WISEPIM, as a central product data hub, can integrate with data virtualization platforms, enabling real-time access to accurate product information without complex data replication.
  • **Unified Product View:** By providing a consistent and enriched source of product data, WISEPIM facilitates the creation of a unified product view when combined with other data sources via virtualization.
  • **Reduced Integration Complexity:** WISEPIM's robust API-first design simplifies its role in a data virtualization strategy, minimizing the need for custom coding and complex ETL processes for product data.

Related Terms

Also Known As

virtual data integrationlogical data warehouse

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