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Data Steward

Data management and qualityIntermediate Level

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

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What is Data Steward?

A data steward is a person who manages the quality and accuracy of a company's information. In e-commerce, they focus on product data like descriptions, prices, and sizes. They ensure this information is correct and consistent across all sales channels. This role connects technical IT teams with business departments. They create clear rules for how to enter data and check that everyone follows them. If a mistake or a confusing definition appears, the data steward fixes it. They also decide who can see or change specific data. Keeping information clean and organized helps the business run better. This ensures customers always see the right product details when they shop. Tools like WISEPIM help these professionals manage large amounts of data efficiently.

Why Data Steward matters for e-commerce

A data steward is a person responsible for the quality and accuracy of a company's product information. They act as a guardian for data to ensure it is correct and up to date. In e-commerce, these specialists make sure product details look the same on every website and app. They check that information follows internal rules and legal requirements. This prevents mistakes like wrong prices or incorrect sizes that could frustrate customers. Data stewards also help different departments collaborate when updating product catalogs. Clean data allows managers to make better business decisions based on facts. Tools like WISEPIM help these professionals monitor data health and fix errors before customers see them.

Examples of Data Steward

  • 1A fashion data steward checks that clothing details like size, color, and fabric are correct. They ensure this information stays the same across the entire product catalog.
  • 2A media data steward organizes product photos and videos. They make sure these files link to the correct items in the PIM (Product Information Management) system.
  • 3A compliance data steward verifies that safety labels and ingredient lists are accurate. This work helps products meet all legal rules for the market.
  • 4A sales data steward manages prices and special offers. They make sure the correct data reaches every webshop and sales platform.
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How WISEPIM Helps

  • WISEPIM gives data stewards the tools to organize and update product details. This ensures all information stays accurate and the same across every channel.
  • You can set specific permissions so data stewards only see the data they need. This keeps information secure while letting them focus on their specific product categories.
  • Data stewards check data quality and fix mistakes directly within WISEPIM. They use automated rules to make sure all product descriptions are correct and complete.
  • WISEPIM helps data stewards work with other teams through shared workflows. Simple communication tools allow everyone to work together to keep product data accurate.

Common mistakes with Data Steward

  • Companies often fail to define the specific duties of a data steward. This lack of clarity causes confusion and makes work inefficient.
  • Many businesses do not give a data steward the right tools or support. Without these resources, they cannot enforce data quality standards.
  • Some organizations treat the data steward role as a technical IT job. This ignores the fact that the role focuses on business processes and data ownership.
  • Companies often provide too little training for the data steward. This prevents them from understanding their data areas or following governance rules.
  • A data steward often works alone instead of as part of a team. They must work with other business units to follow a larger data plan.

Tips for Data Steward

  • Define clear tasks and powers for each data steward. This prevents confusion and shows who is responsible for specific data.
  • Offer complete training on data management. Make sure data stewards know how to use their specific software tools.
  • Give data stewards the power to make decisions. Support them when they apply data quality rules across the company.
  • Help data stewards work with both IT and business teams. This ensures that data rules meet the needs of every department.
  • Update data policies and guidelines often. This helps data stewards keep up with new technology and changing laws.

Trends around 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 for 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.

Related Terms

Access Control (PIM)Attribute Dependency ManagementAttribute InheritanceAttribute ManagementAttribute mappingAttribute Scoping

Also Known As

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

Frequently Asked Questions

A data steward's primary responsibilities include defining and enforcing data quality standards, managing data definitions, ensuring compliance with data policies, resolving data-related issues, and serving as an expert on specific data domains within the organization.

Data stewards use the PIM system to monitor data quality, apply data enrichment rules, manage attribute definitions, approve content, and ensure that product information adheres to governance policies before it is published to various e-commerce channels.

A dedicated data steward is crucial for scaling e-commerce operations because they ensure product data consistency and accuracy across expanding channels and increasing product catalogs. This role prevents costly errors, improves customer trust, and streamlines the process of onboarding new products, directly supporting business growth and market expansion. They also help maintain compliance with various data regulations and platform-specific requirements.

A data steward contributes to a better customer experience by ensuring that product information is always accurate, complete, and consistent across all touchpoints. This means customers find reliable descriptions, specifications, and images, reducing confusion and returns. By maintaining high-quality data, they facilitate informed purchasing decisions and build greater trust in the brand.

An e-commerce business should consider implementing a formal data steward role when it experiences frequent data inconsistencies, struggles with product data onboarding efficiency, or expands into multiple sales channels. This role becomes essential as data volume grows and the complexity of managing product information across various platforms increases, impacting operational efficiency and customer satisfaction.

The effectiveness of a data steward can be measured by KPIs such as the reduction in data quality errors, the time taken to onboard new products, and the consistency of product information across channels. Other relevant metrics include the decrease in customer complaints related to product data, improved data completeness scores, and compliance adherence rates.

A data owner is typically a senior manager who is accountable for a specific data set, while a data steward is the specialist responsible for the daily management and quality of that data. While the owner makes high-level decisions about data usage and policy, the steward implements those policies and ensures product information remains accurate within the PIM system.

To integrate a data steward effectively, position them as the final quality gatekeeper between content creation and channel distribution. They should review product descriptions and technical attributes created by marketing to ensure they meet data governance standards before the information is published to the webshop or marketplaces.

The most important technical skills include proficiency in data manipulation tools like Excel, experience with PIM or ERP software, and a basic understanding of data modeling. Additionally, they should possess strong analytical skills to identify recurring data errors and the communication skills necessary to bridge the gap between IT and commercial departments.

The cost of a data steward varies by region and seniority, but typically ranges from $60,000 to $95,000 annually for a full-time role in a mid-sized e-commerce company. Beyond salary, businesses should budget for specialized training and software licenses for data quality and auditing tools that the steward will use daily.

One frequent error is treating the role as a purely technical IT task rather than a bridge between business and tech. Companies often fail to give stewards the authority to enforce data standards, leaving them as suggestion makers rather than enforcers. Another mistake is overloading one person with too many data domains, which leads to burnout and oversight. Effective stewardship requires clear executive backing and a narrow enough scope to maintain high accuracy across the product catalog.

Data stewards act as the frontline for compliance by mapping where sensitive information, like customer data or proprietary supplier details, is stored and moved. They ensure that data handling processes align with regulations like GDPR or CCPA. By maintaining clear documentation and access controls, they prevent unauthorized personnel from viewing sensitive fields. They also oversee data deletion requests, ensuring that information is purged correctly across all integrated systems without breaking database integrity.

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