Data Steward

Definition

A data steward is an individual or a defined role within an organization responsible for the quality, integrity, and overall governance of specific data domains, such as product data in an e-commerce context. Data stewards act as a bridge between technical data management and business users, ensuring that data definitions are clear, data quality rules are applied, and data policies are followed. They often resolve data-related issues, manage data access, and contribute to data strategy.

Why It's Important for E-commerce

In large e-commerce operations, data stewards are critical for maintaining the accuracy and reliability of product information across numerous systems and channels. They ensure that product data adheres to business rules, regulatory requirements, and brand standards, preventing inconsistencies and errors that could impact sales or customer trust. By having dedicated data stewards, businesses can proactively manage data quality, facilitate data collaboration, and leverage product information more effectively for strategic decision-making.

Examples

• A product data steward for a fashion retailer ensuring all apparel attributes (size, color, material) are correctly defined and consistently applied.
• A media data steward overseeing the quality and proper linking of all product images and videos within a PIM and DAM system.
• A compliance data steward verifying that all regulatory information (e.g., CE markings, allergen data) is accurate and up-to-date for products sold in the EU.
• A sales data steward ensuring that pricing and promotional information is correctly entered and distributed to all sales channels.

How WISEPIM Helps

• Empowered Data Stewards: WISEPIM provides the tools and workflows for data stewards to effectively manage product data quality and governance.
• Role-Based Access Control: Define specific permissions for data stewards, allowing them to manage their assigned data domains securely and efficiently.
• Centralized Data Quality Oversight: Data stewards can monitor data quality, enforce rules, and resolve issues directly within WISEPIM, ensuring data integrity.
• Streamlined Collaboration: Facilitate collaboration between data stewards and other teams through integrated workflows and communication features, ensuring collective data ownership.

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