Quick Answer: Top 10 Use Cases for Generative AI in Master Data Management (2025 Gartner® Report)
About the report
Gartner® Report
Generative AI in MDM: the most important use cases
Master Data Management is a central element for data analytics and data governance initiatives. Learn how AI can increase the business value of MDM.
In their 2025 report "Quick Answer: Top 10 Use Cases for Generative AI in Master Data Management", the analysts describe the most important AI use cases in the field of multi-domain master data management.
The most important AI use cases in MDM
According to the analysts, AI functions are increasingly becoming central components of master data management solutions. Data and analytics managers are advised to take a close look at the relevant use cases in order to avoid premature implementation.
The benefits for companies
From data onboarding to data modelling: MDM providers have already created numerous examples of how generative AI can optimize master data management initiatives in companies.
According to Gartner, Generative AI not only increases the accuracy and efficiency of processes by reducing the risk of errors caused by manual intervention, but also improves data quality, user-friendliness, data evaluation, compliance and data availability throughout the company.
AI-driven multi-domain MDM
AI and multi-domain MDM for maximum data value.
With Advellence, you can rely on a digitalization partner that not only has years of experience in implementing even the most complex MDM projects, but also brings state-of-the-art AI knowledge and concentrated expertise in process modeling.
We start exactly where you and your business currently are and work together to develop the central use cases for an optimized AI-driven multi-domain MDM that suits you!
Gartner, Quick Answer: Top 10 Use Cases for Generative AI in Master Data Management,
Stephen Kennedy, March 12, 2025.
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