Data Governance & Master Data Quality

A global consumer packaged goods company operating across 190 countries with over 400 brands and thousands of suppliers partnered with a master data management solutions provider to digitize management operations across vendor, customer, and product channels. According to an AIMultiple case study compilation, the company implemented a new vendor data management process in nearly 40% of its operating countries, centralizing and documenting data points from diverse categories and locations throughout record systems and back-end applications. The deployment leveraged low-code capabilities to enable greater business-user control over master data, and vendor onboarding time decreased from days to hours. The initiative resulted in increased efficiency, data quality, and processing speed across the organization.

In the retail sector, a North American footwear retailer illustrated the scale of the duplicate record problem. As the company's director of enterprise data explained, a customer purchasing shoes in three different stores and online would appear as four separate $300 customers rather than one $1,200 customer, according to a 2025 Retail TouchPoints report. By implementing master data management, the retailer unified customer records to enable accurate lifetime value calculations and personalized marketing. Separately, a specialty finance group reported a 50% revenue increase after implementing master data management, while a consumer packaged goods manufacturer projected a $25 million revenue increase over five years by leveraging accurate, consolidated data, according to Profisee case study documentation. These examples underscore that the return on data governance investment is driven not only by cost avoidance but also by revenue recovery from previously invisible customer relationships and cross-selling opportunities.