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Data Steward

Data management11/27/2025Intermediate Niveau

An individual or team responsible for the quality, integrity, and governance of specific data domains within an organization.

Wat is Data Steward? (Definitie)

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.

Waarom Data Steward Belangrijk Is voor 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.

Voorbeelden van Data Steward

  • 1A product data steward for a fashion retailer ensuring all apparel attributes (size, color, material) are correctly defined and consistently applied.
  • 2A media data steward overseeing the quality and proper linking of all product images and videos within a PIM and DAM system.
  • 3A 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.
  • 4A sales data steward ensuring that pricing and promotional information is correctly entered and distributed to all sales channels.

Hoe WISEPIM Helpt

  • 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.

Veelgemaakte Fouten met Data Steward

  • Failing to clearly define the scope, responsibilities, and authority of data stewards, leading to confusion and inefficiency.
  • Not empowering data stewards with the necessary organizational support or tools to enforce data quality standards and policies effectively.
  • Treating data stewardship as a purely technical IT role, overlooking its critical business process and data ownership aspects.
  • Providing insufficient training or resources to data stewards, hindering their ability to understand data domains and apply governance rules.
  • Operating data stewards in isolation, without integrating them into a broader data governance framework or fostering collaboration with business units.

Tips voor Data Steward

  • Clearly define the scope, responsibilities, and authority of each data steward to ensure accountability and avoid overlaps or gaps in data governance.
  • Equip data stewards with comprehensive training in data management best practices, specific data domains, and the tools they will use daily.
  • Empower data stewards with the necessary decision-making authority and organizational backing to enforce data quality standards and resolve data-related issues.
  • Foster strong collaboration between data stewards, IT teams, and business stakeholders to ensure data definitions and quality rules meet both technical and business requirements.
  • Regularly review and update data policies, standards, and stewardship guidelines to adapt to changing business needs, technological advancements, and regulatory landscapes.

Trends Rondom Data Steward

  • AI-driven data quality and governance: AI tools assist data stewards in automatically identifying data anomalies, suggesting corrections, and enforcing data quality rules at scale.
  • Automation of routine stewardship tasks: Increased use of automation for data cleansing, validation, and metadata management, freeing stewards to focus on complex data issues and strategic initiatives.
  • Enhanced focus on data ethics and compliance: Data stewards play a crucial role in ensuring data practices align with evolving regulatory requirements (e.g., privacy, sustainability reporting) and ethical guidelines.
  • Data mesh and decentralized data ownership: Stewardship responsibilities are increasingly distributed within domain-specific teams, promoting a more decentralized approach to data governance.
  • Integration with headless commerce architectures: Data stewards ensure consistent and high-quality product data delivery across diverse front-end experiences and APIs in headless environments.

Tools voor Data Steward

  • WISEPIM: Centralizes product information, enabling data stewards to manage, enrich, and ensure the quality and consistency of product data across all sales channels.
  • Akeneo: A leading PIM solution providing robust features for data enrichment, validation rules, and workflow management, directly supporting data stewardship activities.
  • Salsify: A Product Experience Management (PXM) platform that helps data stewards govern product content, syndicate it to various channels, and maintain data integrity.
  • Collibra: A comprehensive data governance platform offering data cataloging, lineage, business glossary, and policy management, essential for enterprise-wide data stewardship.
  • Informatica Data Quality: Tools for profiling, cleansing, monitoring, and remediating data quality issues, directly supporting the operational tasks of data stewards.

Gerelateerde Termen

data-stewardshipdata-governancepim-administratorproduct-data-qualitydata-validationpim-user-roles

Ook Bekend Als

Data custodiandata owner (often broader)data manager (often broader)