Enterprise data governance unifies product and customer data for a global retailer
Data Governance & Management2025-02-10

Enterprise data governance unifies product and customer data for a global retailer

A global retailer with operations across multiple regions and channels struggled with inconsistent product and customer data, duplicate records, and limited visibility into data ownership and quality. Vimix helped establish an enterprise data governance framework—including policies, roles, and stewardship—and aligned it with the client's data strategy to enable self-service analytics while ensuring proper asset management and a single source of truth for key domains.

Data GovernanceMaster Data ManagementRetailData Quality

Project Overview

The Challenge

Product and customer data lived in siloed systems with no unified governance. Business users could not trust reports; IT spent significant effort reconciling duplicates and fixing quality issues. The client needed a practical governance operating model and roadmap that would scale across people, process and technology without slowing down business delivery.

Our Solution

Vimix's enterprise data governance and MDM engagement gave the retailer a practical, scalable foundation for data quality and responsible use.

Project Details

Industry:Retail & E-Commerce
Duration:12–18 months
Team Size:6–10 members
Client:Confidential — Global Retail

Our Approach

1

Governance Strategy and Operating Model

We defined a data governance framework tailored to the retailer's structure: clear roles (data owners, stewards, custodians), decision rights, and policies for data quality, access, and lifecycle. We aligned this with their overarching data strategy so that governance enabled—rather than blocked—self-service and analytics.

2

Master Data Management and Systems of Record

We identified master data domains (product, customer, location), established standards and ownership, and designated systems of record. Integration requirements were captured so that downstream systems could consume trusted master data consistently across regions and channels.

3

Roadmap and Phased Implementation

We delivered a phased roadmap starting with high-impact domains and quick wins (e.g. product data quality and catalog alignment), then expanded to customer and reference data. Each phase included clear success metrics and change management to embed governance into daily operations.

Impact & Results

Structured ownership
Data Domains Governed
Ad hocProduct, Customer, Location
Single source of truth
Duplicate Records
HighSignificantly reduced
Faster delivery
Time to Trusted Data
WeeksDays

Unified View of Product and Customer Data

The retailer gained a single, governed view of product and customer data, reducing duplicates and improving report accuracy. Business users could rely on consistent definitions and ownership.

Faster Time to Trusted Data

With clear stewardship and quality rules, new data sources and use cases could be onboarded faster while maintaining governance standards.

Scalable Foundation for Growth

The governance operating model and MDM approach provided a repeatable foundation as the retailer expanded into new markets and channels.

Technology Stack

Governance

Policy and role frameworkData stewardship workflowsQuality rules and metrics

MDM & Integration

Master data domainsSystems of recordReference data management

Project Conclusion

Vimix's enterprise data governance and MDM engagement gave the retailer a practical, scalable foundation for data quality and responsible use. By aligning governance with business goals and implementing in phases, the client achieved a unified view of product and customer data and a repeatable model for future growth.

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